Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
27/07/2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Senior SecDevOps Engineer - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days onsite per week) £65.00 - £71.43 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We are seeking an experienced Senior SecDevOps Engineer to join a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace initiatives. This role will focus on designing, implementing and maintaining secure, scalable and resilient DevSecOps capabilities across data and integration platforms. The successful candidate will play a key role in embedding security throughout the software delivery life cycle, improving automation, and enabling secure digital transformation within a highly regulated environment. Essential Requirements Active SC Clearance (must already hold current clearance). Sole UK National due to project security requirements. Proven experience working within Defence, Aerospace, MOD, Defence Digital or other highly regulated environments . Ability to work 3 days per week onsite in Reading . The Role As a Senior SecDevOps Engineer, you will be responsible for developing secure delivery pipelines, automating infrastructure deployment, integrating security controls and supporting modern cloud-based platforms. Working alongside engineers, architects, security specialists and delivery teams, you will help ensure digital services are secure, resilient and capable of supporting mission-critical data and integration capabilities. Key Responsibilities Design, develop and maintain secure DevSecOps pipelines supporting data and integration services. Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation or equivalent technologies . Embed security best practices throughout the software development and delivery life cycle. Automate security testing, vulnerability assessments and compliance checks within CI/CD workflows. Monitor and troubleshoot build, deployment and runtime environments. Support the reliability, availability and security of cloud-hosted platforms. Develop and maintain automation solutions to improve engineering efficiency. Support secure data integration solutions and ensure data availability, integrity and protection. Work with cross-functional teams including engineering, security, infrastructure and architecture. Provide technical guidance and mentoring to engineers and stakeholders. Identify opportunities to improve DevSecOps processes, tooling and platform capability. Essential Skills & Experience Strong commercial experience working within DevSecOps environments . Experience designing and supporting secure CI/CD pipelines. Strong knowledge of cloud platforms including Microsoft Azure, AWS or Google Cloud Platform . Experience with automation and pipeline tooling such as: Jenkins GitLab CI/CD Azure DevOps GitHub Actions Similar CI/CD technologies Strong understanding of Infrastructure as Code practices. Experience with container technologies including: Docker Kubernetes Container orchestration platforms Experience with Scripting languages such as: Python Bash PowerShell Strong understanding of security principles, secure engineering practices and vulnerability management. Knowledge of authentication and security protocols including: OAuth SAML TLS Experience troubleshooting complex build, deployment and production issues. Strong communication and stakeholder engagement skills. Desirable Experience Experience supporting secure government or Defence environments. AWS DevOps Engineer certification or equivalent. Certified Kubernetes Administrator (CKA) or similar container certification. Experience with data platforms, ETL processes and integration technologies. Knowledge of microservices architecture and API management. Experience implementing GDPR or other data privacy requirements. Exposure to security automation, compliance tooling and cloud security frameworks. Experience working with hybrid cloud environments. What's on Offer? 12-month contract £65.00 - £71.43 per hour (Inside IR35) Hybrid working with 3 days per week onsite in Reading Opportunity to work on secure digital platforms supporting UK Defence and Aerospace programmes Exposure to modern cloud, automation, security and data integration technologies Collaborative environment working alongside experienced engineering and architecture teams If you hold active SC Clearance , are a sole UK national , and have experience delivering secure DevSecOps solutions within Defence, Aerospace or government environments , we'd like to hear from you. Apply today for a confidential discussion.
27/07/2026
Contractor
Senior SecDevOps Engineer - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days onsite per week) £65.00 - £71.43 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We are seeking an experienced Senior SecDevOps Engineer to join a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace initiatives. This role will focus on designing, implementing and maintaining secure, scalable and resilient DevSecOps capabilities across data and integration platforms. The successful candidate will play a key role in embedding security throughout the software delivery life cycle, improving automation, and enabling secure digital transformation within a highly regulated environment. Essential Requirements Active SC Clearance (must already hold current clearance). Sole UK National due to project security requirements. Proven experience working within Defence, Aerospace, MOD, Defence Digital or other highly regulated environments . Ability to work 3 days per week onsite in Reading . The Role As a Senior SecDevOps Engineer, you will be responsible for developing secure delivery pipelines, automating infrastructure deployment, integrating security controls and supporting modern cloud-based platforms. Working alongside engineers, architects, security specialists and delivery teams, you will help ensure digital services are secure, resilient and capable of supporting mission-critical data and integration capabilities. Key Responsibilities Design, develop and maintain secure DevSecOps pipelines supporting data and integration services. Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation or equivalent technologies . Embed security best practices throughout the software development and delivery life cycle. Automate security testing, vulnerability assessments and compliance checks within CI/CD workflows. Monitor and troubleshoot build, deployment and runtime environments. Support the reliability, availability and security of cloud-hosted platforms. Develop and maintain automation solutions to improve engineering efficiency. Support secure data integration solutions and ensure data availability, integrity and protection. Work with cross-functional teams including engineering, security, infrastructure and architecture. Provide technical guidance and mentoring to engineers and stakeholders. Identify opportunities to improve DevSecOps processes, tooling and platform capability. Essential Skills & Experience Strong commercial experience working within DevSecOps environments . Experience designing and supporting secure CI/CD pipelines. Strong knowledge of cloud platforms including Microsoft Azure, AWS or Google Cloud Platform . Experience with automation and pipeline tooling such as: Jenkins GitLab CI/CD Azure DevOps GitHub Actions Similar CI/CD technologies Strong understanding of Infrastructure as Code practices. Experience with container technologies including: Docker Kubernetes Container orchestration platforms Experience with Scripting languages such as: Python Bash PowerShell Strong understanding of security principles, secure engineering practices and vulnerability management. Knowledge of authentication and security protocols including: OAuth SAML TLS Experience troubleshooting complex build, deployment and production issues. Strong communication and stakeholder engagement skills. Desirable Experience Experience supporting secure government or Defence environments. AWS DevOps Engineer certification or equivalent. Certified Kubernetes Administrator (CKA) or similar container certification. Experience with data platforms, ETL processes and integration technologies. Knowledge of microservices architecture and API management. Experience implementing GDPR or other data privacy requirements. Exposure to security automation, compliance tooling and cloud security frameworks. Experience working with hybrid cloud environments. What's on Offer? 12-month contract £65.00 - £71.43 per hour (Inside IR35) Hybrid working with 3 days per week onsite in Reading Opportunity to work on secure digital platforms supporting UK Defence and Aerospace programmes Exposure to modern cloud, automation, security and data integration technologies Collaborative environment working alongside experienced engineering and architecture teams If you hold active SC Clearance , are a sole UK national , and have experience delivering secure DevSecOps solutions within Defence, Aerospace or government environments , we'd like to hear from you. Apply today for a confidential discussion.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
27/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
27/07/2026
Full time
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
At the UK Data Archive, home to the UK's largest collection of social science survey data, we are on a mission to become a world-class repository for cross-disciplinary data. Central to our strategy is the adoption of modern software engineering practices such as testing, security, and building in quality during the development. We are looking for a Senior software engineer who will be instrumental in achieving these goals by helping to build innovative software solutions while working within an AWS cloud infrastructure first environment. This role is a great opportunity for someone who is creative and eager to make a real difference. You will be part of a driven, mixed team and work in a place that really values learning and experimentation. You will be a key member of the development team and work closely with them. As a Senior Software Engineer, you will play a pivotal role in delivering software solutions that are cloud native, safe, secure, robust, and highly performant. Your involvement will be instrumental in creating innovative solutions that provide meaningful value to end users and impact them in a positive way. Your core responsibilities will include designing, maintaining, and optimising the software solutions as part of the development team. You will have a keen focus on automation, ensuring that all aspects of the SDLC that can be automated, are automated, to facilitate continuous integration and rapid development and deployment cycles. You will also be responsible for ensuring the security of the software design. This includes implementing robust security policies and ensuring compliance with industry standards and best practices for handling and managing data. As a Senior Software Engineer, you will require a strong foundation in C# and .NET Core, coupled with expertise in AWS services. You must be proficient in designing and implementing scalable cloud-native architectures, leveraging technologies like Terraform or AWS CDK. A solid understanding of relational and NoSQL databases, as well as front-end technologies, is essential. Additionally, experience with DevOps practices, including CI/CD pipelines and containerization technologies like Docker and Kubernetes, is highly desired. Strong problem-solving skills, effective communication and collaboration abilities, and a passion for mentoring junior engineers and staying updated with the latest C# and .NET trends are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other statically typed languages such as Java would be valued. This post is full-time and fixed term until 31st March 2030. Whilst this is a full-time post, we would also consider applications from anyone looking to work 0.8 FTE or from those looking to work as part of a job share arrangement (18 hours per week). This post involves access to Government systems, information or data and will be subject to the staff vetting process. Further information can be found in the job pack. Please use the Apply button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
27/07/2026
Full time
At the UK Data Archive, home to the UK's largest collection of social science survey data, we are on a mission to become a world-class repository for cross-disciplinary data. Central to our strategy is the adoption of modern software engineering practices such as testing, security, and building in quality during the development. We are looking for a Senior software engineer who will be instrumental in achieving these goals by helping to build innovative software solutions while working within an AWS cloud infrastructure first environment. This role is a great opportunity for someone who is creative and eager to make a real difference. You will be part of a driven, mixed team and work in a place that really values learning and experimentation. You will be a key member of the development team and work closely with them. As a Senior Software Engineer, you will play a pivotal role in delivering software solutions that are cloud native, safe, secure, robust, and highly performant. Your involvement will be instrumental in creating innovative solutions that provide meaningful value to end users and impact them in a positive way. Your core responsibilities will include designing, maintaining, and optimising the software solutions as part of the development team. You will have a keen focus on automation, ensuring that all aspects of the SDLC that can be automated, are automated, to facilitate continuous integration and rapid development and deployment cycles. You will also be responsible for ensuring the security of the software design. This includes implementing robust security policies and ensuring compliance with industry standards and best practices for handling and managing data. As a Senior Software Engineer, you will require a strong foundation in C# and .NET Core, coupled with expertise in AWS services. You must be proficient in designing and implementing scalable cloud-native architectures, leveraging technologies like Terraform or AWS CDK. A solid understanding of relational and NoSQL databases, as well as front-end technologies, is essential. Additionally, experience with DevOps practices, including CI/CD pipelines and containerization technologies like Docker and Kubernetes, is highly desired. Strong problem-solving skills, effective communication and collaboration abilities, and a passion for mentoring junior engineers and staying updated with the latest C# and .NET trends are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other statically typed languages such as Java would be valued. This post is full-time and fixed term until 31st March 2030. Whilst this is a full-time post, we would also consider applications from anyone looking to work 0.8 FTE or from those looking to work as part of a job share arrangement (18 hours per week). This post involves access to Government systems, information or data and will be subject to the staff vetting process. Further information can be found in the job pack. Please use the Apply button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
27/07/2026
Full time
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
27/07/2026
Full time
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
27/07/2026
Full time
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
United States Digital Space LLC
Haywards Heath, Sussex
Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support
26/07/2026
Full time
Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support
Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes: Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.
26/07/2026
Full time
Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes: Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.
Funding End Date 31 Aug 2028 Hours per week 37 Project Title Senior Project Software Developer (COPO) Months Duration 24 Flexible Options Although full-time hours are available, applications from those interested in working part-time hours are also welcomed. Job Description Main Purpose of the Job The Earlham Institute is seeking a versatile full-stack Research Software Engineer (RSE) to join the team behind COPO (Collaborative OPen Omics). COPO is a production-deployed metadata and data-brokering platform that has been developed and operated at the Institute since 2015. COPO underpins some of the largest biodiversity genomics programmes attempted to date, having brokered more than 80,000 samples from over 4,800 species to public repositories such as the European Nucleotide Archive, with automated validation, expert curation and full audit trails. The successful candidate will join the small engineering team that builds and operates COPO, contributing across the full stack -frontend interfaces, APIs, and the services that connect them to the platform's validation, curation and submission pipelines. Data visualisation, dashboards and API design will be at the centre of the role, but the post is deliberately broad: COPO supports a range of research communities and projects, and the work varies with the needs of those the platform serves. This is a broadly scoped full-stack role with metadata validation, translation, visualisation and API design as its primary focus. It suits an engineer who enjoys turning complex scientific data into clear, reliable, well-documented interfaces that researchers and the wider community can depend on. Being a senior, hands-on role, you will own significant components of the project end to end, make day-to-day architectural decisions, and drive delivery to time. Key Relationships Internal: COPO Team Lead / Group Leader (direction, prioritisation, line management); the COPO development team of fellow engineers and frontend developers (collaboration, code review, and mentoring); EI bioinformaticians and research scientists (scientific and metadata requirements); Scientific Computing / IT infrastructure teams (compute, storage and platform services); and project managers / programme coordinators (planning, reporting and effort estimates). External: genomics and biodiversity programmes and projects that COPO supports; EMBL-EBI / ELIXIR services such as ENA and BioSamples; other public repositories and registries such as Zenodo and DataCite; metadata-standards communities including RO-Crate, ISA, MIxS, Darwin Core and Bioschemas; and the wider open-source community and downstream COPO users. Main Activities & Responsibilities Dashboards, data visualisation and data portals Design, build and maintain interactive dashboards and public data portals, from data model through to production deployment. Translate complex, multi-source scientific metadata into clear, accurate and accessible visualisations. Build reporting and summary views that are reproducible and auditable, including snapshots for governance and reporting. Apply good practice in accessibility, responsive design and information design so that outputs are usable by researchers and the public alike. APIs and backend services Develop, document and maintain RESTful APIs that expose metadata in multiple formats for internal tools and external consumers. Integrate frontend and portal services with COPO's validation, curation and submission pipelines. Ensure APIs are performant, versioned, secure and well documented so third parties can build against them with minimal support. Full-stack engineering and platform contribution Contribute across the COPO codebase: frontend, backend and supporting services as a flexible member of a small engineering team. Write clean, tested, maintainable code with appropriate use of version control, code review, CI/CD and containerisation (Git, Docker). Help deploy and operate COPO instances, working with colleagues on deployment, monitoring, backup and reliability. Collaboration, standards and support Work closely with the technical lead and engineering colleagues to extend the platform and its metadata standards. Help add support for new data types and metadata schemas, and reflect these in the interfaces and APIs you build. Support research users onboarding onto the platform, including documentation, tutorials and responsive help. Produce clear technical documentation and contribute to open-source releases under permissive licences. As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance Degree (or equivalent professional/practical experience) in computer science, software engineering, bioinformatics or a related discipline Essential Specialist Knowledge & Skills Requirement Importance Proficiency with version control (Git) and collaborative development workflows, including code review Essential Understanding of FAIR data principles, ontologies or controlled vocabularies Essential An understanding of, and willingness to apply, good engineering practice: automated testing, clear documentation and basic security awareness Essential Able to translate complex requirements into clear, usable interfaces, with strong attention to accuracy and detail Essential Familiarity with cloud or research-computing infrastructure Desirable Exposure to genomics, biodiversity, ecology or a related life-science domain Desirable Requirement Importance Demonstrable experience building and maintaining full-stack web applications in JavaScript and a backend language (Python preferred) Essential Experience designing, building and documenting RESTful APIs Essential Experience with containerisation and deployment (Docker; CI/CD pipelines) Essential Experience designing and building data visualisations or dashboards, using libraries such as Plotly, D3, or equivalent Desirable Experience working with structured or scientific data, metadata standards, or data-intensive systems Desirable Management and Leadership Requirement Importance Experience mentoring, coaching or line-managing other developers Essential Interpersonal & Communication Skills Requirement Importance Committed to open, reproducible and well-tested software Essential Able to work both independently and as a flexible, collaborative member of a small team Essential Good written and verbal communication skills, including the ability to produce clear technical documentation and explain technical matters to non-specialists Essential Comfortable working with, and responsive to, a distributed community of research users Essential Able to work independently, use initiative and apply problem solving skills Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Attention to detail Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard working hours when required Essential Ability to maintain confidentiality and security of information where appropriate Essential Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration . click apply for full job details
26/07/2026
Full time
Funding End Date 31 Aug 2028 Hours per week 37 Project Title Senior Project Software Developer (COPO) Months Duration 24 Flexible Options Although full-time hours are available, applications from those interested in working part-time hours are also welcomed. Job Description Main Purpose of the Job The Earlham Institute is seeking a versatile full-stack Research Software Engineer (RSE) to join the team behind COPO (Collaborative OPen Omics). COPO is a production-deployed metadata and data-brokering platform that has been developed and operated at the Institute since 2015. COPO underpins some of the largest biodiversity genomics programmes attempted to date, having brokered more than 80,000 samples from over 4,800 species to public repositories such as the European Nucleotide Archive, with automated validation, expert curation and full audit trails. The successful candidate will join the small engineering team that builds and operates COPO, contributing across the full stack -frontend interfaces, APIs, and the services that connect them to the platform's validation, curation and submission pipelines. Data visualisation, dashboards and API design will be at the centre of the role, but the post is deliberately broad: COPO supports a range of research communities and projects, and the work varies with the needs of those the platform serves. This is a broadly scoped full-stack role with metadata validation, translation, visualisation and API design as its primary focus. It suits an engineer who enjoys turning complex scientific data into clear, reliable, well-documented interfaces that researchers and the wider community can depend on. Being a senior, hands-on role, you will own significant components of the project end to end, make day-to-day architectural decisions, and drive delivery to time. Key Relationships Internal: COPO Team Lead / Group Leader (direction, prioritisation, line management); the COPO development team of fellow engineers and frontend developers (collaboration, code review, and mentoring); EI bioinformaticians and research scientists (scientific and metadata requirements); Scientific Computing / IT infrastructure teams (compute, storage and platform services); and project managers / programme coordinators (planning, reporting and effort estimates). External: genomics and biodiversity programmes and projects that COPO supports; EMBL-EBI / ELIXIR services such as ENA and BioSamples; other public repositories and registries such as Zenodo and DataCite; metadata-standards communities including RO-Crate, ISA, MIxS, Darwin Core and Bioschemas; and the wider open-source community and downstream COPO users. Main Activities & Responsibilities Dashboards, data visualisation and data portals Design, build and maintain interactive dashboards and public data portals, from data model through to production deployment. Translate complex, multi-source scientific metadata into clear, accurate and accessible visualisations. Build reporting and summary views that are reproducible and auditable, including snapshots for governance and reporting. Apply good practice in accessibility, responsive design and information design so that outputs are usable by researchers and the public alike. APIs and backend services Develop, document and maintain RESTful APIs that expose metadata in multiple formats for internal tools and external consumers. Integrate frontend and portal services with COPO's validation, curation and submission pipelines. Ensure APIs are performant, versioned, secure and well documented so third parties can build against them with minimal support. Full-stack engineering and platform contribution Contribute across the COPO codebase: frontend, backend and supporting services as a flexible member of a small engineering team. Write clean, tested, maintainable code with appropriate use of version control, code review, CI/CD and containerisation (Git, Docker). Help deploy and operate COPO instances, working with colleagues on deployment, monitoring, backup and reliability. Collaboration, standards and support Work closely with the technical lead and engineering colleagues to extend the platform and its metadata standards. Help add support for new data types and metadata schemas, and reflect these in the interfaces and APIs you build. Support research users onboarding onto the platform, including documentation, tutorials and responsive help. Produce clear technical documentation and contribute to open-source releases under permissive licences. As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance Degree (or equivalent professional/practical experience) in computer science, software engineering, bioinformatics or a related discipline Essential Specialist Knowledge & Skills Requirement Importance Proficiency with version control (Git) and collaborative development workflows, including code review Essential Understanding of FAIR data principles, ontologies or controlled vocabularies Essential An understanding of, and willingness to apply, good engineering practice: automated testing, clear documentation and basic security awareness Essential Able to translate complex requirements into clear, usable interfaces, with strong attention to accuracy and detail Essential Familiarity with cloud or research-computing infrastructure Desirable Exposure to genomics, biodiversity, ecology or a related life-science domain Desirable Requirement Importance Demonstrable experience building and maintaining full-stack web applications in JavaScript and a backend language (Python preferred) Essential Experience designing, building and documenting RESTful APIs Essential Experience with containerisation and deployment (Docker; CI/CD pipelines) Essential Experience designing and building data visualisations or dashboards, using libraries such as Plotly, D3, or equivalent Desirable Experience working with structured or scientific data, metadata standards, or data-intensive systems Desirable Management and Leadership Requirement Importance Experience mentoring, coaching or line-managing other developers Essential Interpersonal & Communication Skills Requirement Importance Committed to open, reproducible and well-tested software Essential Able to work both independently and as a flexible, collaborative member of a small team Essential Good written and verbal communication skills, including the ability to produce clear technical documentation and explain technical matters to non-specialists Essential Comfortable working with, and responsive to, a distributed community of research users Essential Able to work independently, use initiative and apply problem solving skills Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Attention to detail Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard working hours when required Essential Ability to maintain confidentiality and security of information where appropriate Essential Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration . click apply for full job details
Location: Cardiff Hybrid Salary: up to £68,000, depending on experience plus a potential bonus up to £13,600 A hands-on senior role where you'll solve complex technical problems, deliver large and demanding pieces of work, and support the more junior engineers around you, at one of Europe's leading financial businesses About LDMS Founded in 2018, LDMS is part of the LC Financial Holdings group, a three-pillar organisation with over 950 employees across Europe. Between us we have more than 20 years of world-class credit expertise. We build digital lending software in a market growing around 18% a year. We want to lead that space, and to do it we need people who can think, create and challenge each other to find the best solutions for our customers. We have an ambitious to-do list: improving what we've built, building new products, and moving into new markets. The Role You'll join the Engineering team at LDMS as a Senior Engineer, working within a single team and reporting to an Engineering Team Lead. You'll take on challenging problems your team faces, including designing solutions to complex features and writing the design documentation that others build from. You'll work within the technical direction set by your Lead Engineer and be one of the people they rely on to turn that direction into working software. Our stack is React and TypeScript on the frontend, Java with Spring Boot on the backend, and PostgreSQL with schema-per-tenant multi-tenancy underneath, all cloud-hosted on AWS. You'll hold the quality bar for your team through code review, pairing and the example you set, and you'll lead the delivery of large features. Mentoring and growing more junior engineers is a core part of the job. As you develop, your influence will start to reach beyond your own team. This is a senior hands-on role, not a line-management one. Key Responsibilities These may change with the needs of the business, but the main areas are: Technical Skills Design solutions to complex features and write the design documentation that other engineers build from. Hold the technical quality bar for your team through code review, pairing and the example you set. Spot gaps in testing, security or performance across your team's work, and fix them or make the case for fixing them. Work within the technical direction and standards set by your Lead Engineer and feedback into them where you see a better approach. Watch for scaling, reliability and operability problems before they cause incidents and help keep the team's work observable and secure. Delivery Lead the delivery of large features, involving other engineers. Turn vague or unclear requirements into concrete engineering work the team can pick up. Keep the team's delivery standards up, and step in when they slip rather than waiting to be asked. Make sound decisions when the information is incomplete and keep work moving when requirements change or things get blocked. Impact Make a real difference to your team's output, quality and technical ability. Help junior and mid engineers get better through pairing, honest feedback and giving them work that stretches them. Contribute to department-wide engineering standards and documentation. Help shape your team's goals and technical plans and connect the work back to what the business is trying to achieve. Take part in hiring, running technical interviews and giving well-reasoned assessments of candidates. Communication Explain technical decisions clearly to both engineers and people without a technical background. Write things down well, such as designs, technical documentation and runbooks that other people can pick up and use. Help the team reach agreement on hard or contested technical questions. Give clear, specific and kind feedback in code reviews. Inform your Engineering Team Lead promptly when a piece of work is failing behind, rather than letting it surface late. AI and Innovation Explore new tools, including AI, and help bring the genuinely useful tools into your team's day-to-day work while being honest about where they fall short. Follow the team's agreed approach to AI-assisted work so that what gets produced stays consistent, secure and good quality. Use AI coding tools such as Claude in your day-to-day development, moving faster while keeping design quality, security and maintainability high. Essential Strong, hands-on expertise in Java (preferably Java 25+) with a solid command of Spring Boot. Strong relational database skills, ideally PostgreSQL, including schema design and migrations. A track record of designing and delivering complex features, with design work that other engineers could build from. Experience holding a quality bar through code review, pairing and example, and mentoring more junior engineers. Comfortable working within an established architecture and set of standards and improving them where you see a better way. Familiar with observability in practice, and how services are instrumented, monitored and debugged (for example Prometheus, Grafana). Experience keeping a codebase secure and current, including dependency upgrades and vulnerability scanning. Comfortable working with CI/CD pipelines (for example Jenkins) and a sound understanding of performance and scalability. Clear communicator, able to explain technical decisions to engineers and non-technical colleagues. Comfortable making sound decisions when the information is incomplete. Desirable Experience using AI coding tools such as Claude well as part of day-to-day engineering. An understanding of what it takes to build software in a financial environment. A widening base across the stack, such as performance, data, security, reliability and cloud so you can weigh up decisions beyond your own area. Experience working with cloud-hosted systems on AWS, and an understanding of hosting, scaling and cost trade-offs. Exposure to React and TypeScript, enough to work sensibly with patterns defined. Familiarity with tools such as Keycloak for identity and AWS S3 for storage. What's Important to Us Our passion is tech, but the people we bring together are the heart of the business. Over the years we've recruited a fairly eclectic bunch, with hobbies from gaming to ultra-marathon running, snowboarding to chess, hiking to climbing. What we share are our values: Teamwork Merit Develop Honest Impactful Integrity They might look like corporate jargon, but they mean something to us. If they sound like you, get in touch. There's a good chance you'd be a great fit. Discretionary bonus 25 days annual leave (plus bank holidays) Opportunity to purchase additional annual leave 1 day birthday leave 1 day charity leave Private health insurance Employee Assistance Programme (EAP) Season ticket loan for transport Eye care Pension (3% / 5% contribution) Salary sacrifice schemes (cycle to work and electric vehicle) Monthly socials Charity events The discretionary bonus will be pro-rata'd during your first year with the Company.
26/07/2026
Full time
Location: Cardiff Hybrid Salary: up to £68,000, depending on experience plus a potential bonus up to £13,600 A hands-on senior role where you'll solve complex technical problems, deliver large and demanding pieces of work, and support the more junior engineers around you, at one of Europe's leading financial businesses About LDMS Founded in 2018, LDMS is part of the LC Financial Holdings group, a three-pillar organisation with over 950 employees across Europe. Between us we have more than 20 years of world-class credit expertise. We build digital lending software in a market growing around 18% a year. We want to lead that space, and to do it we need people who can think, create and challenge each other to find the best solutions for our customers. We have an ambitious to-do list: improving what we've built, building new products, and moving into new markets. The Role You'll join the Engineering team at LDMS as a Senior Engineer, working within a single team and reporting to an Engineering Team Lead. You'll take on challenging problems your team faces, including designing solutions to complex features and writing the design documentation that others build from. You'll work within the technical direction set by your Lead Engineer and be one of the people they rely on to turn that direction into working software. Our stack is React and TypeScript on the frontend, Java with Spring Boot on the backend, and PostgreSQL with schema-per-tenant multi-tenancy underneath, all cloud-hosted on AWS. You'll hold the quality bar for your team through code review, pairing and the example you set, and you'll lead the delivery of large features. Mentoring and growing more junior engineers is a core part of the job. As you develop, your influence will start to reach beyond your own team. This is a senior hands-on role, not a line-management one. Key Responsibilities These may change with the needs of the business, but the main areas are: Technical Skills Design solutions to complex features and write the design documentation that other engineers build from. Hold the technical quality bar for your team through code review, pairing and the example you set. Spot gaps in testing, security or performance across your team's work, and fix them or make the case for fixing them. Work within the technical direction and standards set by your Lead Engineer and feedback into them where you see a better approach. Watch for scaling, reliability and operability problems before they cause incidents and help keep the team's work observable and secure. Delivery Lead the delivery of large features, involving other engineers. Turn vague or unclear requirements into concrete engineering work the team can pick up. Keep the team's delivery standards up, and step in when they slip rather than waiting to be asked. Make sound decisions when the information is incomplete and keep work moving when requirements change or things get blocked. Impact Make a real difference to your team's output, quality and technical ability. Help junior and mid engineers get better through pairing, honest feedback and giving them work that stretches them. Contribute to department-wide engineering standards and documentation. Help shape your team's goals and technical plans and connect the work back to what the business is trying to achieve. Take part in hiring, running technical interviews and giving well-reasoned assessments of candidates. Communication Explain technical decisions clearly to both engineers and people without a technical background. Write things down well, such as designs, technical documentation and runbooks that other people can pick up and use. Help the team reach agreement on hard or contested technical questions. Give clear, specific and kind feedback in code reviews. Inform your Engineering Team Lead promptly when a piece of work is failing behind, rather than letting it surface late. AI and Innovation Explore new tools, including AI, and help bring the genuinely useful tools into your team's day-to-day work while being honest about where they fall short. Follow the team's agreed approach to AI-assisted work so that what gets produced stays consistent, secure and good quality. Use AI coding tools such as Claude in your day-to-day development, moving faster while keeping design quality, security and maintainability high. Essential Strong, hands-on expertise in Java (preferably Java 25+) with a solid command of Spring Boot. Strong relational database skills, ideally PostgreSQL, including schema design and migrations. A track record of designing and delivering complex features, with design work that other engineers could build from. Experience holding a quality bar through code review, pairing and example, and mentoring more junior engineers. Comfortable working within an established architecture and set of standards and improving them where you see a better way. Familiar with observability in practice, and how services are instrumented, monitored and debugged (for example Prometheus, Grafana). Experience keeping a codebase secure and current, including dependency upgrades and vulnerability scanning. Comfortable working with CI/CD pipelines (for example Jenkins) and a sound understanding of performance and scalability. Clear communicator, able to explain technical decisions to engineers and non-technical colleagues. Comfortable making sound decisions when the information is incomplete. Desirable Experience using AI coding tools such as Claude well as part of day-to-day engineering. An understanding of what it takes to build software in a financial environment. A widening base across the stack, such as performance, data, security, reliability and cloud so you can weigh up decisions beyond your own area. Experience working with cloud-hosted systems on AWS, and an understanding of hosting, scaling and cost trade-offs. Exposure to React and TypeScript, enough to work sensibly with patterns defined. Familiarity with tools such as Keycloak for identity and AWS S3 for storage. What's Important to Us Our passion is tech, but the people we bring together are the heart of the business. Over the years we've recruited a fairly eclectic bunch, with hobbies from gaming to ultra-marathon running, snowboarding to chess, hiking to climbing. What we share are our values: Teamwork Merit Develop Honest Impactful Integrity They might look like corporate jargon, but they mean something to us. If they sound like you, get in touch. There's a good chance you'd be a great fit. Discretionary bonus 25 days annual leave (plus bank holidays) Opportunity to purchase additional annual leave 1 day birthday leave 1 day charity leave Private health insurance Employee Assistance Programme (EAP) Season ticket loan for transport Eye care Pension (3% / 5% contribution) Salary sacrifice schemes (cycle to work and electric vehicle) Monthly socials Charity events The discretionary bonus will be pro-rata'd during your first year with the Company.
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Analystto join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Analyst, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Analysis services to our clients. Senior Data Analysts at Hippo are experienced practitioners who lead the analytical thinking within a project, ensuring data quality and mentoring others to maintain high standards of insight. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. The Senior Data Analyst will be a key player and implementer in this mission. Your Role in a Nutshell Draw actionable insights from multiple, large sources of data and communicate these effectively through reports, dashboards and presentations. Engage with client stakeholders to understand their business needs and translate these into clear requirements for analysis Identify opportunities for the use of advanced analytics techniques (e.g. predictive modelling and machine learning) to provide additional value Use robust statistical techniques and be able to communicate your methodology to a wide range of stakeholders. Apply tools and techniques for data analysis and visualisation using business intelligence tools. Understand data platforms and pipelines at a conceptual level and identify data quality issues. Be involved in the recruitment and on-boarding of other analysts, and support other consultants in their professional development. Promote Hippo's Herd internally and externally through blogs, case studies, and workshops. Skills and experience that you need Essential Experience A proven track record as a data analyst with extensive experience exploring and presenting data for users Expert skills in data cleansing, analysis, modelling and visualisation (Tableau, Power BI, Looker Studio) Experience working with large, complex data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform. Proficiency in SQL and languages such as R or Python, including relevant frameworks. Strong stakeholder management skills with the ability to advise upon complex client requirements. Mentoring and coaching skills with a passion for up-skilling junior analysts. Desirable Experience Public sector or consultancy experience is highly desirable. Experience with automated data pipeline tools (e.g., dbt, Airflow). What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% &Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
26/07/2026
Full time
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Analystto join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Analyst, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Analysis services to our clients. Senior Data Analysts at Hippo are experienced practitioners who lead the analytical thinking within a project, ensuring data quality and mentoring others to maintain high standards of insight. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. The Senior Data Analyst will be a key player and implementer in this mission. Your Role in a Nutshell Draw actionable insights from multiple, large sources of data and communicate these effectively through reports, dashboards and presentations. Engage with client stakeholders to understand their business needs and translate these into clear requirements for analysis Identify opportunities for the use of advanced analytics techniques (e.g. predictive modelling and machine learning) to provide additional value Use robust statistical techniques and be able to communicate your methodology to a wide range of stakeholders. Apply tools and techniques for data analysis and visualisation using business intelligence tools. Understand data platforms and pipelines at a conceptual level and identify data quality issues. Be involved in the recruitment and on-boarding of other analysts, and support other consultants in their professional development. Promote Hippo's Herd internally and externally through blogs, case studies, and workshops. Skills and experience that you need Essential Experience A proven track record as a data analyst with extensive experience exploring and presenting data for users Expert skills in data cleansing, analysis, modelling and visualisation (Tableau, Power BI, Looker Studio) Experience working with large, complex data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform. Proficiency in SQL and languages such as R or Python, including relevant frameworks. Strong stakeholder management skills with the ability to advise upon complex client requirements. Mentoring and coaching skills with a passion for up-skilling junior analysts. Desirable Experience Public sector or consultancy experience is highly desirable. Experience with automated data pipeline tools (e.g., dbt, Airflow). What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% &Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
Role Overview This is an opportunity to join a newly established engineering team responsible for building the next generation of a cloud-native platform using modern technologies and architecture. Working within a collaborative engineering environment, you will contribute to the design, development, testing, and deployment of scalable software solutions. As a Senior Software Engineer, you will demonstrate strong technical expertise while mentoring junior engineers and collaborating closely with architects, technical leads, and other engineering teams to deliver production-ready systems. Key Responsibilities Drive engineering best practices and promote high-quality software development. Support and contribute to an effective Software Development Lifecycle (SDLC). Participate in planning, estimation, and technical discussions. Collaborate with engineers and architects on system design and architecture. Refactor and evolve existing systems towards target-state architecture. Take ownership of features from design through deployment. Mentor junior developers and contribute to continuous improvement initiatives. Essential Skills & Experience Experience 5+ years' commercial experience as a Full Stack, Front-End, or Back-End Software Engineer. Strong experience developing applications using TypeScript. Experience working within Agile cross-functional teams. Experience delivering software through the full software development lifecycle. Experience building low-latency, event-driven applications. Experience developing reusable platform services. Experience supporting production systems where required. Front-End HTML5 CSS3 TypeScript React Redux React Query Modern JavaScript frameworks Tailwind CSS (or similar CSS framework) REST APIs GraphQL WebSockets Cross-browser compatibility Git Back-End TypeScript or another object-oriented language (e.g. C# or Java) SQL and NoSQL databases REST APIs GraphQL WebSockets Microservices architecture Git Terraform Automated testing Cloud platforms (preferably AWS or equivalent) Containerisation Event-driven architecture Messaging technologies (e.g. AMQP or similar) Cloud & DevOps Serverless and container-based cloud services Infrastructure as Code CI/CD pipelines Linux Shell or PowerShell Cloud CLI tools Enterprise deployment practices Software Engineering Software design patterns SOLID principles Unit, integration, and end-to-end testing Source control (Git) Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to mentor and support other engineers Comfortable working with ambiguity and challenging requirements constructively Desirable Skills Commercial experience with C#/.NET Experience contributing to open-source projects Experience working on regulatory or compliance-driven projects Knowledge of financial markets or trading systems Benefits Flexible benefits package Private medical insurance Digital GP, dental and eye care Pension scheme Life assurance and income protection Cycle to Work scheme Employee Assistance Programme Wellbeing support Technology and local discounts Car parking discount Payroll giving scheme
26/07/2026
Full time
Role Overview This is an opportunity to join a newly established engineering team responsible for building the next generation of a cloud-native platform using modern technologies and architecture. Working within a collaborative engineering environment, you will contribute to the design, development, testing, and deployment of scalable software solutions. As a Senior Software Engineer, you will demonstrate strong technical expertise while mentoring junior engineers and collaborating closely with architects, technical leads, and other engineering teams to deliver production-ready systems. Key Responsibilities Drive engineering best practices and promote high-quality software development. Support and contribute to an effective Software Development Lifecycle (SDLC). Participate in planning, estimation, and technical discussions. Collaborate with engineers and architects on system design and architecture. Refactor and evolve existing systems towards target-state architecture. Take ownership of features from design through deployment. Mentor junior developers and contribute to continuous improvement initiatives. Essential Skills & Experience Experience 5+ years' commercial experience as a Full Stack, Front-End, or Back-End Software Engineer. Strong experience developing applications using TypeScript. Experience working within Agile cross-functional teams. Experience delivering software through the full software development lifecycle. Experience building low-latency, event-driven applications. Experience developing reusable platform services. Experience supporting production systems where required. Front-End HTML5 CSS3 TypeScript React Redux React Query Modern JavaScript frameworks Tailwind CSS (or similar CSS framework) REST APIs GraphQL WebSockets Cross-browser compatibility Git Back-End TypeScript or another object-oriented language (e.g. C# or Java) SQL and NoSQL databases REST APIs GraphQL WebSockets Microservices architecture Git Terraform Automated testing Cloud platforms (preferably AWS or equivalent) Containerisation Event-driven architecture Messaging technologies (e.g. AMQP or similar) Cloud & DevOps Serverless and container-based cloud services Infrastructure as Code CI/CD pipelines Linux Shell or PowerShell Cloud CLI tools Enterprise deployment practices Software Engineering Software design patterns SOLID principles Unit, integration, and end-to-end testing Source control (Git) Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to mentor and support other engineers Comfortable working with ambiguity and challenging requirements constructively Desirable Skills Commercial experience with C#/.NET Experience contributing to open-source projects Experience working on regulatory or compliance-driven projects Knowledge of financial markets or trading systems Benefits Flexible benefits package Private medical insurance Digital GP, dental and eye care Pension scheme Life assurance and income protection Cycle to Work scheme Employee Assistance Programme Wellbeing support Technology and local discounts Car parking discount Payroll giving scheme
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email SkillsA senior QA engineer should act as a quality leader, mentor, and strategic contributor across delivery teams.Strong ownership of overall product or platform qualityAbility to define QA strategy, test approach, and release quality standardsExcellent analytical and critical-thinking skillsStrong communication with technical and non-technical stakeholdersAbility to influence engineering teams without relying on authorityConfidence challenging requirements and delivery plans where quality risks existStrong risk-based decision-makingAbility to balance delivery speed with quality, maintainability, security, and scalabilityMentoring and coaching of junior and mid-level QA engineersAbility to lead defect triage, root-cause analysis, and continuous improvement activitiesStrong stakeholder management across product, engineering, architecture, DevOps, and delivery teamsAbility to translate business requirements into testable acceptance criteriaStrong facilitation skills in refinement, planning, retrospectives, and release readiness discussionsProactive approach to identifying gaps in process, tooling, environments, and automation coverageAbility to promote a shared quality mindset across the teamStrong documentation skills for test strategies, automation standards, release risks, and quality reportsComfortable making pragmatic trade-offs in complex delivery environmentsAbility to support high-quality delivery of solutions that are fit for purpose, maintainable, robust, scalable, and secureTechnical SkillsTest Automation & StrategyStrong experience designing, building, and maintaining test automation frameworksAbility to select appropriate tools for UI, API, integration, contract, performance, and end-to-end testingStrong programming ability in C#, JavaScript, TypeScript, or another relevant automation languageDeep understanding of automation patterns such as Page Object Model, Screenplay, API client abstraction, test fixtures, reusable test data builders, and service mocksAbility to design automation that is scalable, maintainable, reliable, and suitable for CI/CDExperience reducing flaky tests and improving automation execution speedAbility to define automation standards, coding guidelines, and review test codeUI TestingGood understanding of web application testing, especially Angular-based applicationsExperience testing UI behaviour, forms, validation, routing, authentication flows, and browser compatibilityAbility to write or maintain automated UI tests using tools such as Playwright, Cypress, Selenium, or similarBasic understanding of HTML, CSS, JavaScript, and browser developer toolsAbility to define frontend test coverage across unit, component, integration, UI, and end-to-end layersExperience testing complex user journeys, state management, routing, validation, authentication, and accessibilityAbility to advise on testability improvements in frontend codeAPI TestingExperience testing REST APIsStrong knowledge of REST API testing, including authentication, authorisation, routing, middleware behaviour, configuration, validation, and error handlingGood understanding of C# and .NET application architectureAbility to test service boundaries, integrations, retries, failure modes, and resilience patternsAbility to contribute to test strategy for micro-services and distributed systemsAbility to use tools such as Postman, Swagger, Insomnia, or REST-assured-style frameworksAbility to validate API contracts, error handling, edge cases, and integration pointsExperience with contract testing, service virtualisation, mocking, and stubbingCloud, DevOps, CI/CD & Version ControlExperience using cloud platforms such as AWS, Azure, or Google CloudAbility to test applications deployed to cloud-based environmentsUnderstanding of configuration differences across dev, test, staging, and production-like environmentsStrong experience integrating automated tests into CI/CD pipelinesAbility to define quality gates in GitHub Actions, Azure Pipelines, AWS pipelines, or similarFamiliarity with Docker and Kubernetes from a testing and deployment perspectiveDatabase, Data TestingStrong SQL skills for test data setup, validation, and investigationExperience testing systems that use Redis, Elasticsearch, or other NoSQL technologiesAbility to test caching, indexing, search accuracy, data consistency, and data migration scenariosAbility to design robust test data strategies across integrated environmentsQuality Engineering PracticesStrong understanding of test design techniques, including boundary value analysis, equivalence partitioning, decision tables, and exploratory testingAbility to create clear test cases, test scenarios, and acceptance criteriaUnderstanding of Agile delivery and working within Scrum or Kanban teamsAbout UMG UKWe are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world.Bonus Tracks: Your BenefitsGroup Personal Pension Scheme (between 3% and 9%)Private Medical Insurance25 paid days of annual leaveInterest Free Season Ticket LoanHoliday Purchase schemeDental and Travel Insurance optionsCycle to Work SchemeSalary Sacrifice CarsSubsidised Gym MembershipEmployee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Universal Music Group
26/07/2026
Full time
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email SkillsA senior QA engineer should act as a quality leader, mentor, and strategic contributor across delivery teams.Strong ownership of overall product or platform qualityAbility to define QA strategy, test approach, and release quality standardsExcellent analytical and critical-thinking skillsStrong communication with technical and non-technical stakeholdersAbility to influence engineering teams without relying on authorityConfidence challenging requirements and delivery plans where quality risks existStrong risk-based decision-makingAbility to balance delivery speed with quality, maintainability, security, and scalabilityMentoring and coaching of junior and mid-level QA engineersAbility to lead defect triage, root-cause analysis, and continuous improvement activitiesStrong stakeholder management across product, engineering, architecture, DevOps, and delivery teamsAbility to translate business requirements into testable acceptance criteriaStrong facilitation skills in refinement, planning, retrospectives, and release readiness discussionsProactive approach to identifying gaps in process, tooling, environments, and automation coverageAbility to promote a shared quality mindset across the teamStrong documentation skills for test strategies, automation standards, release risks, and quality reportsComfortable making pragmatic trade-offs in complex delivery environmentsAbility to support high-quality delivery of solutions that are fit for purpose, maintainable, robust, scalable, and secureTechnical SkillsTest Automation & StrategyStrong experience designing, building, and maintaining test automation frameworksAbility to select appropriate tools for UI, API, integration, contract, performance, and end-to-end testingStrong programming ability in C#, JavaScript, TypeScript, or another relevant automation languageDeep understanding of automation patterns such as Page Object Model, Screenplay, API client abstraction, test fixtures, reusable test data builders, and service mocksAbility to design automation that is scalable, maintainable, reliable, and suitable for CI/CDExperience reducing flaky tests and improving automation execution speedAbility to define automation standards, coding guidelines, and review test codeUI TestingGood understanding of web application testing, especially Angular-based applicationsExperience testing UI behaviour, forms, validation, routing, authentication flows, and browser compatibilityAbility to write or maintain automated UI tests using tools such as Playwright, Cypress, Selenium, or similarBasic understanding of HTML, CSS, JavaScript, and browser developer toolsAbility to define frontend test coverage across unit, component, integration, UI, and end-to-end layersExperience testing complex user journeys, state management, routing, validation, authentication, and accessibilityAbility to advise on testability improvements in frontend codeAPI TestingExperience testing REST APIsStrong knowledge of REST API testing, including authentication, authorisation, routing, middleware behaviour, configuration, validation, and error handlingGood understanding of C# and .NET application architectureAbility to test service boundaries, integrations, retries, failure modes, and resilience patternsAbility to contribute to test strategy for micro-services and distributed systemsAbility to use tools such as Postman, Swagger, Insomnia, or REST-assured-style frameworksAbility to validate API contracts, error handling, edge cases, and integration pointsExperience with contract testing, service virtualisation, mocking, and stubbingCloud, DevOps, CI/CD & Version ControlExperience using cloud platforms such as AWS, Azure, or Google CloudAbility to test applications deployed to cloud-based environmentsUnderstanding of configuration differences across dev, test, staging, and production-like environmentsStrong experience integrating automated tests into CI/CD pipelinesAbility to define quality gates in GitHub Actions, Azure Pipelines, AWS pipelines, or similarFamiliarity with Docker and Kubernetes from a testing and deployment perspectiveDatabase, Data TestingStrong SQL skills for test data setup, validation, and investigationExperience testing systems that use Redis, Elasticsearch, or other NoSQL technologiesAbility to test caching, indexing, search accuracy, data consistency, and data migration scenariosAbility to design robust test data strategies across integrated environmentsQuality Engineering PracticesStrong understanding of test design techniques, including boundary value analysis, equivalence partitioning, decision tables, and exploratory testingAbility to create clear test cases, test scenarios, and acceptance criteriaUnderstanding of Agile delivery and working within Scrum or Kanban teamsAbout UMG UKWe are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world.Bonus Tracks: Your BenefitsGroup Personal Pension Scheme (between 3% and 9%)Private Medical Insurance25 paid days of annual leaveInterest Free Season Ticket LoanHoliday Purchase schemeDental and Travel Insurance optionsCycle to Work SchemeSalary Sacrifice CarsSubsidised Gym MembershipEmployee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Universal Music Group
Senior Backend Engineer (Rust)Applylocations: Remote - United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR-90898Job Summary:JOB DESCRIPTION - Senior Backend Engineer (Rust)Location: Remote, United KingdomDivision: Host EngineeringContract Terms: Permanent THE TEAM The Host Engineering team builds and operates backend systems that support reliable, scalable product experiences. The team works across product, platform, infrastructure, and operations to improve existing services, modernize core capabilities, and deliver systems that are understandable, maintainable, and dependable in production.We are looking for engineers who care deeply about how backend systems behave under real-world conditions: how they fail, how they recover, how they scale, and how other engineers can safely extend them over time. THE JOB We are looking for a Senior Backend Engineer with strong production Rust experience to design, build, modernize, and operate backend services and platform capabilities. This is a hands-on senior individual contributor role for someone who brings strong systems design judgment, excellent debugging ability, and a practical approach to evolving existing systems.This role is backend-first. You will work primarily on service architecture, APIs, data flows, reliability, observability, deployment quality, and production readiness. You should be comfortable working through ambiguity, decomposing complex problems, making thoughtful trade-offs, and using AI-assisted and agentic coding workflows to move faster while maintaining high engineering standards. WHAT YOU WILL BE DOING Design, build, and operate production backend services using Rust and other strongly engineered backend technologies. Own backend components from design through deployment, observability, incident learning, and ongoing maintenance. Modernize existing systems incrementally, reducing technical debt while protecting reliability and business continuity. Develop clean, maintainable, production-grade code with strong attention to correctness, testability, performance, and operational behavior. Debug complex production and pre-production issues across services, data flows, infrastructure, and deployment pipelines. Define practical service boundaries, API contracts, data models, and integration patterns that support long-term maintainability. Improve reliability, observability, monitoring, alerting, and deployment workflows for backend systems. Use AI-assisted and agentic coding tools to accelerate exploration, implementation, testing, debugging, and documentation while remaining accountable for final quality. Collaborate with frontend, product, infrastructure, security, and operations partners to deliver complete and reliable product capabilities. Evaluate architectural options and communicate trade-offs clearly to technical and non-technical stakeholders. Contribute to code reviews, design reviews, documentation, and engineering practices that raise the quality of the team. Identify risks, simplify complex technical problems, and make pragmatic decisions in ambiguous situations. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Required Qualifications Production Rust experience is required, including experience shipping, operating, debugging, and maintaining Rust services or systems in a real production environment. Strong backend engineering experience building APIs, services, distributed systems, data-intensive systems, or platform capabilities. Strong architectural and systems design judgment, including the ability to reason about service boundaries, reliability, scalability, performance, and maintainability. Excellent debugging, problem decomposition, and root-cause analysis skills. Experience evolving, refactoring, or modernizing existing systems without unnecessary rewrites. Ability to write clean, maintainable, production-grade code and hold a high bar for testing, review, and documentation. Operational awareness in production environments, including observability, incident response, deployment safety, performance, and reliability concerns. Experience with cloud infrastructure such as AWS or comparable platforms. Experience with CI/CD, deployment automation, and operational tooling. High ownership, autonomy, curiosity, and pragmatic decision-making under ambiguity. Ability to communicate technical decisions simply, including the reasoning, trade-offs, risks, and expected outcomes. Preferred Qualifications Experience with retrieval-augmented generation (RAG) tools, vector databases, embeddings, search infrastructure, or AI-enabled developer/product workflows. Experience designing resilient integrations across multiple services, systems, or data stores. Experience improving developer workflows, build systems, testing practices, or operational maturity. Experience mentoring engineers through code review, design review, pair programming, or technical coaching. Familiarity with security, privacy, and compliance considerations in backend systems. Experience working closely with product and UX partners to connect backend decisions to user outcomes. YOU (BEHAVIOURAL SKILLS) You are naturally curious and enjoy understanding how systems work. You like simplifying complex problems, finding the practical path forward, and making technology easier for teams and users to work with. You are pragmatic rather than dogmatic. You care about clean architecture and maintainable code, but you also understand delivery trade-offs and know when to make incremental progress. You are comfortable with ambiguity, take ownership beyond your immediate tasks, and can explain your technical decisions clearly. You actively use AI-assisted and agentic coding tools to move faster, but you do not outsource your judgment. You review, test, challenge, and improve AI-generated work with the same standards you would apply to any production system. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world's largest live entertainment company.Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world's largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision.We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you're passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. Ticketmaster may use artificial intelligence (AI) tools to support application screening and assessment. All hiring decisions are made with human review.
26/07/2026
Full time
Senior Backend Engineer (Rust)Applylocations: Remote - United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR-90898Job Summary:JOB DESCRIPTION - Senior Backend Engineer (Rust)Location: Remote, United KingdomDivision: Host EngineeringContract Terms: Permanent THE TEAM The Host Engineering team builds and operates backend systems that support reliable, scalable product experiences. The team works across product, platform, infrastructure, and operations to improve existing services, modernize core capabilities, and deliver systems that are understandable, maintainable, and dependable in production.We are looking for engineers who care deeply about how backend systems behave under real-world conditions: how they fail, how they recover, how they scale, and how other engineers can safely extend them over time. THE JOB We are looking for a Senior Backend Engineer with strong production Rust experience to design, build, modernize, and operate backend services and platform capabilities. This is a hands-on senior individual contributor role for someone who brings strong systems design judgment, excellent debugging ability, and a practical approach to evolving existing systems.This role is backend-first. You will work primarily on service architecture, APIs, data flows, reliability, observability, deployment quality, and production readiness. You should be comfortable working through ambiguity, decomposing complex problems, making thoughtful trade-offs, and using AI-assisted and agentic coding workflows to move faster while maintaining high engineering standards. WHAT YOU WILL BE DOING Design, build, and operate production backend services using Rust and other strongly engineered backend technologies. Own backend components from design through deployment, observability, incident learning, and ongoing maintenance. Modernize existing systems incrementally, reducing technical debt while protecting reliability and business continuity. Develop clean, maintainable, production-grade code with strong attention to correctness, testability, performance, and operational behavior. Debug complex production and pre-production issues across services, data flows, infrastructure, and deployment pipelines. Define practical service boundaries, API contracts, data models, and integration patterns that support long-term maintainability. Improve reliability, observability, monitoring, alerting, and deployment workflows for backend systems. Use AI-assisted and agentic coding tools to accelerate exploration, implementation, testing, debugging, and documentation while remaining accountable for final quality. Collaborate with frontend, product, infrastructure, security, and operations partners to deliver complete and reliable product capabilities. Evaluate architectural options and communicate trade-offs clearly to technical and non-technical stakeholders. Contribute to code reviews, design reviews, documentation, and engineering practices that raise the quality of the team. Identify risks, simplify complex technical problems, and make pragmatic decisions in ambiguous situations. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Required Qualifications Production Rust experience is required, including experience shipping, operating, debugging, and maintaining Rust services or systems in a real production environment. Strong backend engineering experience building APIs, services, distributed systems, data-intensive systems, or platform capabilities. Strong architectural and systems design judgment, including the ability to reason about service boundaries, reliability, scalability, performance, and maintainability. Excellent debugging, problem decomposition, and root-cause analysis skills. Experience evolving, refactoring, or modernizing existing systems without unnecessary rewrites. Ability to write clean, maintainable, production-grade code and hold a high bar for testing, review, and documentation. Operational awareness in production environments, including observability, incident response, deployment safety, performance, and reliability concerns. Experience with cloud infrastructure such as AWS or comparable platforms. Experience with CI/CD, deployment automation, and operational tooling. High ownership, autonomy, curiosity, and pragmatic decision-making under ambiguity. Ability to communicate technical decisions simply, including the reasoning, trade-offs, risks, and expected outcomes. Preferred Qualifications Experience with retrieval-augmented generation (RAG) tools, vector databases, embeddings, search infrastructure, or AI-enabled developer/product workflows. Experience designing resilient integrations across multiple services, systems, or data stores. Experience improving developer workflows, build systems, testing practices, or operational maturity. Experience mentoring engineers through code review, design review, pair programming, or technical coaching. Familiarity with security, privacy, and compliance considerations in backend systems. Experience working closely with product and UX partners to connect backend decisions to user outcomes. YOU (BEHAVIOURAL SKILLS) You are naturally curious and enjoy understanding how systems work. You like simplifying complex problems, finding the practical path forward, and making technology easier for teams and users to work with. You are pragmatic rather than dogmatic. You care about clean architecture and maintainable code, but you also understand delivery trade-offs and know when to make incremental progress. You are comfortable with ambiguity, take ownership beyond your immediate tasks, and can explain your technical decisions clearly. You actively use AI-assisted and agentic coding tools to move faster, but you do not outsource your judgment. You review, test, challenge, and improve AI-generated work with the same standards you would apply to any production system. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world's largest live entertainment company.Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world's largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision.We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you're passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. Ticketmaster may use artificial intelligence (AI) tools to support application screening and assessment. All hiring decisions are made with human review.
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Full Stack Kotlin Developer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Full Stack Kotlin Developer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Kotlin Development services to our clients. Senior Full Stack Kotlin Developers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Full Stack Kotlin Developer will be a key player and implementer in this. Your Role in a Nutshell Lead the production of user-centred software, ensuring development follows business requirements and best practice. Work collaboratively with colleagues and stakeholders to explore, design, and deliver solutions to complex client problems. Take ownership of software development and deployment pipelines, resolving issues and potential bottlenecks. Communicate and present prototypes, solutions, and progress to internal and external stakeholders in a clear, concise manner. Mentoring and coaching other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Kotlin and JVM Strong experience in Java and the full development lifecycle delivering user-centred digital solutions. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Proven track record of contributing to the delivery of high-quality, robust, and scalable solutions. Expertise in building back-end services using Spring Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such as Jenkins or Azure DevOps. Desirable Experience Previous experience of working on GOV/NHS projects or in a consultancy environment. Knowledge of Kafka or other asynchronous messaging systems. Knowledge of Helm. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
26/07/2026
Full time
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Full Stack Kotlin Developer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Full Stack Kotlin Developer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Kotlin Development services to our clients. Senior Full Stack Kotlin Developers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Full Stack Kotlin Developer will be a key player and implementer in this. Your Role in a Nutshell Lead the production of user-centred software, ensuring development follows business requirements and best practice. Work collaboratively with colleagues and stakeholders to explore, design, and deliver solutions to complex client problems. Take ownership of software development and deployment pipelines, resolving issues and potential bottlenecks. Communicate and present prototypes, solutions, and progress to internal and external stakeholders in a clear, concise manner. Mentoring and coaching other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Kotlin and JVM Strong experience in Java and the full development lifecycle delivering user-centred digital solutions. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Proven track record of contributing to the delivery of high-quality, robust, and scalable solutions. Expertise in building back-end services using Spring Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such as Jenkins or Azure DevOps. Desirable Experience Previous experience of working on GOV/NHS projects or in a consultancy environment. Knowledge of Kafka or other asynchronous messaging systems. Knowledge of Helm. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
26/07/2026
Full time
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
26/07/2026
Full time
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
