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senior software engineer python
Client Server Ltd.
Principal Software Engineer Python - Fintech
Client Server Ltd.
Principal Software Engineer Python - Fintech London, Greater London £130k - £150k per year Principal Software Engineer / Developer (Python AWS) London / WFH to £150k Join a high-growth, VC-backed Fintech building a market-leading analytics platform used by Hedge Funds, Asset Managers and global financial institutions. As a Principal Software Engineer, you will play a pivotal role in shaping the technical direction of a large scale cloud-native platform, combining hands-on software development with architectural leadership and technical strategy. Working across multiple engineering teams, you will define architectural standards, review solution designs, tackle complex technical challenges and ensure that performance, scalability, security and reliability are built into every solution from the outset. This is a highly influential role for a technically exceptional engineer who enjoys mentoring senior developers, driving engineering excellence and working closely with both technical and business stakeholders. You'll work with a modern technology stack including Python, AWS, React, Docker, MySQL, Redis, RabbitMQ, and GitLab CI/CD, helping to solve complex problems at scale within a fast-paced and collaborative engineering environment. Location / WFH: There's a hybrid policy with three days work from home per week, with the rest of your time in modern, open plan City based offices with a range of first class facilities. About you: You are degree educated in a technical discipline, having achieved a 2.1 or above in Computer Science preferred from a top tier university e.g. Red Brick / Russel Group You have experience as a Principal Software Engineer, making architectural decisions, taking ownership and driving best practices You have advanced Python development skills including Flask, NumPy, Pandas, SQLAlchemy You have a strong knowledge of AWS including ECS, Lambda, RDS, S3 You've worked on large scale, distributed systems You're likely to have financial services, FinTech experience and have a strong interest in this space You have excellent communication and collaboration skills What's in it for you: As a Principal Software Engineer / Developer (Python AWS) you will earn a competitive package including: Salary to £150k Enhanced annual leave Private medical care Pension Enhanced maternity and paternity packages Time off for volunteering as well as other charity events Summer and Christmas parties Professional development and support Perks such as cycle to work scheme
13/06/2026
Full time
Principal Software Engineer Python - Fintech London, Greater London £130k - £150k per year Principal Software Engineer / Developer (Python AWS) London / WFH to £150k Join a high-growth, VC-backed Fintech building a market-leading analytics platform used by Hedge Funds, Asset Managers and global financial institutions. As a Principal Software Engineer, you will play a pivotal role in shaping the technical direction of a large scale cloud-native platform, combining hands-on software development with architectural leadership and technical strategy. Working across multiple engineering teams, you will define architectural standards, review solution designs, tackle complex technical challenges and ensure that performance, scalability, security and reliability are built into every solution from the outset. This is a highly influential role for a technically exceptional engineer who enjoys mentoring senior developers, driving engineering excellence and working closely with both technical and business stakeholders. You'll work with a modern technology stack including Python, AWS, React, Docker, MySQL, Redis, RabbitMQ, and GitLab CI/CD, helping to solve complex problems at scale within a fast-paced and collaborative engineering environment. Location / WFH: There's a hybrid policy with three days work from home per week, with the rest of your time in modern, open plan City based offices with a range of first class facilities. About you: You are degree educated in a technical discipline, having achieved a 2.1 or above in Computer Science preferred from a top tier university e.g. Red Brick / Russel Group You have experience as a Principal Software Engineer, making architectural decisions, taking ownership and driving best practices You have advanced Python development skills including Flask, NumPy, Pandas, SQLAlchemy You have a strong knowledge of AWS including ECS, Lambda, RDS, S3 You've worked on large scale, distributed systems You're likely to have financial services, FinTech experience and have a strong interest in this space You have excellent communication and collaboration skills What's in it for you: As a Principal Software Engineer / Developer (Python AWS) you will earn a competitive package including: Salary to £150k Enhanced annual leave Private medical care Pension Enhanced maternity and paternity packages Time off for volunteering as well as other charity events Summer and Christmas parties Professional development and support Perks such as cycle to work scheme
Broughton Group
AI Platform/ DevOps Engineer. Job in London Move Collective Jobs
Broughton Group
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure as code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure by design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof of concepts into production ready, well architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production grade systems on AWS Strong hands on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure as code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long term architectural impact, within an organisation investing heavily in AI at scale.
13/06/2026
Full time
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure as code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure by design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof of concepts into production ready, well architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production grade systems on AWS Strong hands on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure as code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long term architectural impact, within an organisation investing heavily in AI at scale.
Principal Software Engineer
PEXA Group Leeds, Yorkshire
# Principal Software Engineer Team:Technology - UK Location:Leeds Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.We're looking for an exceptional Principal Engineer to help shape the future of engineering at PEXA UK.This is one of the most influential technical roles within our organisation. Working closely with the UK CTO and engineering leadership team, you'll define technical strategy, drive architectural decisions, champion innovation, and help build the engineering capabilities that support our next phase of growth.As a technical leader, you'll operate across multiple teams, influencing engineering direction at an organisational level rather than within a single product or platform. You'll mentor engineers, establish engineering standards, evaluate emerging technologies, and ensure we're building secure, scalable and resilient solutions that deliver outstanding customer outcomes.You'll also play a key role in advancing how we leverage AI across both our products and engineering practices, helping PEXA stay at the forefront of technology innovation. Why become a PEXArian? Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Sounds like you? We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at Cifas . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . What You'll Be Doing Technical Strategy & Architecture+ Define and execute engineering strategy across multiple teams and domains.+ Drive architectural decisions that balance business priorities, scalability, security and long-term sustainability.+ Design solutions that support future growth and evolving customer needs.+ Identify and address technical risks across the organisation. Engineering Excellence- Establish and evolve engineering standards, best practices and quality frameworks.- Drive improvements in performance, reliability, security and developer productivity.- Champion modern software engineering principles and continuous improvement.- Support the evolution of platform, infrastructure and service architecture. AI & Emerging Technology Lead the evaluation and adoption of emerging technologies and AI capabilities. Drive the integration of AI tools and practices that enhance engineering effectiveness. Explore and implement modern AI-powered development workflows, coding assistants and agentic systems. Help shape PEXA's approach to AI innovation and organisational adoption. Leadership & Mentorship+ Mentor and coach engineers across all levels, from emerging talent to senior technical leaders.+ Foster a culture of technical excellence, curiosity and continuous learning.+ Lead technical discussions, knowledge-sharing initiatives and engineering communities of practice.+ Contribute to hiring and technical assessment processes. Collaboration & Business Impact- Partner with Product, Design and Business leaders to align technical strategy with organisational goals.- Translate business objectives into technical roadmaps and engineering outcomes.- Influence decision-making at executive level through clear communication and technical insight.- Represent PEXA externally within the technology community and industry forums. About YouYou're a highly experienced technologist who combines deep technical expertise with strategic thinking and business acumen.You thrive on solving complex problems at scale, influencing engineering direction, and helping others grow.You'll bring:+ Significant experience designing and delivering large-scale distributed systems.+ A track record of defining technical strategy and driving organisation-wide engineering outcomes.+ Strong experience working across multiple teams, platforms and stakeholders.+ Proven ability to balance technical excellence with commercial priorities.+ Exceptional communication skills and the ability to influence at all levels of the organisation. Technical ExpertiseYou'll bring deep expertise across modern software engineering practices and technologies, including:- Node.js, Python and Kotlin- Modern frontend technologies- Cloud platforms such as AWS and Azure- Microservices and distributed architectures- Containerisation and cloud-native development- Security architecture and secure software development practices- Performance, scalability and reliability engineeringYou'll also have a strong interest in the rapidly evolving AI landscape, including: AI-assisted software development tools such as GitHub Copilot, Claude, Cline and Amazon Q Agentic AI frameworks and orchestration platforms Modern approaches to context engineering and AI-enhanced developer productivity Evaluating and adopting emerging AI technologies within engineering organisations Nice to Have+ Experience within financial services, property technology or other regulated industries.+ Exposure to DevSecOps, Site Reliability Engineering (SRE) or Platform Engineering environments.+ Knowledge of AI frameworks and technologies including Anthropic Claude, LangGraph, Hugging Face, LiteLLM or Pydantic AI.Apply for this job
13/06/2026
Full time
# Principal Software Engineer Team:Technology - UK Location:Leeds Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.We're looking for an exceptional Principal Engineer to help shape the future of engineering at PEXA UK.This is one of the most influential technical roles within our organisation. Working closely with the UK CTO and engineering leadership team, you'll define technical strategy, drive architectural decisions, champion innovation, and help build the engineering capabilities that support our next phase of growth.As a technical leader, you'll operate across multiple teams, influencing engineering direction at an organisational level rather than within a single product or platform. You'll mentor engineers, establish engineering standards, evaluate emerging technologies, and ensure we're building secure, scalable and resilient solutions that deliver outstanding customer outcomes.You'll also play a key role in advancing how we leverage AI across both our products and engineering practices, helping PEXA stay at the forefront of technology innovation. Why become a PEXArian? Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Sounds like you? We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at Cifas . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . What You'll Be Doing Technical Strategy & Architecture+ Define and execute engineering strategy across multiple teams and domains.+ Drive architectural decisions that balance business priorities, scalability, security and long-term sustainability.+ Design solutions that support future growth and evolving customer needs.+ Identify and address technical risks across the organisation. Engineering Excellence- Establish and evolve engineering standards, best practices and quality frameworks.- Drive improvements in performance, reliability, security and developer productivity.- Champion modern software engineering principles and continuous improvement.- Support the evolution of platform, infrastructure and service architecture. AI & Emerging Technology Lead the evaluation and adoption of emerging technologies and AI capabilities. Drive the integration of AI tools and practices that enhance engineering effectiveness. Explore and implement modern AI-powered development workflows, coding assistants and agentic systems. Help shape PEXA's approach to AI innovation and organisational adoption. Leadership & Mentorship+ Mentor and coach engineers across all levels, from emerging talent to senior technical leaders.+ Foster a culture of technical excellence, curiosity and continuous learning.+ Lead technical discussions, knowledge-sharing initiatives and engineering communities of practice.+ Contribute to hiring and technical assessment processes. Collaboration & Business Impact- Partner with Product, Design and Business leaders to align technical strategy with organisational goals.- Translate business objectives into technical roadmaps and engineering outcomes.- Influence decision-making at executive level through clear communication and technical insight.- Represent PEXA externally within the technology community and industry forums. About YouYou're a highly experienced technologist who combines deep technical expertise with strategic thinking and business acumen.You thrive on solving complex problems at scale, influencing engineering direction, and helping others grow.You'll bring:+ Significant experience designing and delivering large-scale distributed systems.+ A track record of defining technical strategy and driving organisation-wide engineering outcomes.+ Strong experience working across multiple teams, platforms and stakeholders.+ Proven ability to balance technical excellence with commercial priorities.+ Exceptional communication skills and the ability to influence at all levels of the organisation. Technical ExpertiseYou'll bring deep expertise across modern software engineering practices and technologies, including:- Node.js, Python and Kotlin- Modern frontend technologies- Cloud platforms such as AWS and Azure- Microservices and distributed architectures- Containerisation and cloud-native development- Security architecture and secure software development practices- Performance, scalability and reliability engineeringYou'll also have a strong interest in the rapidly evolving AI landscape, including: AI-assisted software development tools such as GitHub Copilot, Claude, Cline and Amazon Q Agentic AI frameworks and orchestration platforms Modern approaches to context engineering and AI-enhanced developer productivity Evaluating and adopting emerging AI technologies within engineering organisations Nice to Have+ Experience within financial services, property technology or other regulated industries.+ Exposure to DevSecOps, Site Reliability Engineering (SRE) or Platform Engineering environments.+ Knowledge of AI frameworks and technologies including Anthropic Claude, LangGraph, Hugging Face, LiteLLM or Pydantic AI.Apply for this job
Senior ML Software Engineer - Hybrid, Lead & Build AI
Arm Limited Cambridge, Cambridgeshire
A leading technology company in the UK is looking for an experienced engineer to work on Machine Learning systems. The role involves developing new features in ML compilation technology and software frameworks. Candidates should possess strong programming skills in C, C++, or Python and experience with agile methodologies. The company fosters a collaborative environment and values diversity, providing training and support for employees. This hybrid position allows flexibility in work patterns.
13/06/2026
Full time
A leading technology company in the UK is looking for an experienced engineer to work on Machine Learning systems. The role involves developing new features in ML compilation technology and software frameworks. Candidates should possess strong programming skills in C, C++, or Python and experience with agile methodologies. The company fosters a collaborative environment and values diversity, providing training and support for employees. This hybrid position allows flexibility in work patterns.
Capita
Senior DevOps Engineer (DSA BAU)
Capita City Of Westminster, London
Purpose of the role: We are seeking an experienced DevOps Engineer to design, implement, and manage automated CI/CD pipelines within our cloud and Salesforce ecosystems. You will own build and deployment workflows in Azure DevOps, drive environment stability and release governance, and partner closely with Salesforce, MuleSoft, QA, and Operations. You will be responsible for ensuring seamless software delivery through high-quality automation and robust deployment strategies. Job Title Senior DevOps Engineer (DSA BAU) Eligibility CANDIDATES MUST BE ELIGIBLE FOR SC CLEARANCE. What you'll be doing CI/CD Pipeline Management: Design, configure, and maintain end-to-end automated pipelines using Azure DevOps for both standard applications and Salesforce-specific workflows. (Repos, Pipelines, Artifacts for Salesforce and MuleSoft components; define branching, versioning, and release workflows). Salesforce Deployments: Lead release management activities for Salesforce, including metadata management, environment synchronization, and sandbox refreshes. (SFDX/Metadata API, packaging, org to org promotion), ensuring consistent pipelines across SIT, UAT, Pre Prod and Prod. Collaboration: Partner with development, QA, and security teams to align DevOps strategies with business needs and resolve deployment blockers. Monitoring & Security: Implement observability and security scanning within pipelines to ensure system health and compliance. Create and manage user access in ADO and Salesforce platforms. Mentorship: Mentor engineers on CI/CD, tooling, and best practices; contribute to internal playbooks and KT assets for onboarding/new joiners. What we're looking for Essential 5+ years of professional experience in DevOps or Release Engineering. Deep knowledge of the Azure DevOps suite (Pipelines, Boards, Repos, multi stage YAML/classic pipelines, environments, approvals, artifacts). Strong understanding of Salesforce metadata (Apex, LWC, Flows) and Salesforce CLI (SFDX). Proficiency in Git and advanced branching strategies like GitFlow. Proficiency in Bash, Python, or PowerShell for custom automation tasks. Experience with CI/CD Pipeline Management, Salesforce Deployments, Collaboration, Monitoring & Security, Mentor. Preferred Deployment Tools: Hands on experience with Copado or Flosum for automated Salesforce releases. Infrastructure as Code: Use tools like Terraform or Ansible to automate infrastructure provisioning and maintain consistency across environments. MuleSoft Integration: Oversee deployment and lifecycle management for MuleSoft APIs and integrations, ensuring high availability and reliability. (CloudHub 2.0, Runtime Manager, properties encryption, secret management via Azure Key Vault). How this aligns to Capita's values Customer First, Always Stable: automated CI/CD and release processes are delivered to ensure smooth, predictable deployments that support teams and end users. Fearless Innovation: Modern automation, AI enhancements, and continuous pipeline improvements are introduced to increase delivery speed, quality, and reliability. Achieve Together: Development, QA, and security teams collaborate effectively to unblock releases, align workflows, and maintain consistent deployments across environments. Everyone is Valued: Engineers are supported through mentoring, shared best practices, and clear documentation that strengthens onboarding and team capability. Company and Benefits The role offers a competitive basic salary, 23 days' holiday (rising to 27), the opportunity to buy extra leave, a paid day out of the office, volunteering for charity partners, company matched pension, life assurance, a cycle2work scheme, 15 weeks' fully paid maternity, adoption and shared parental leave, paternity pay of two weeks, and a range of voluntary benefits designed to suit your lifestyle. Working Conditions Location: London, United Kingdom Time Type: Full time Contract Type: Permanent Capita is a consulting, transformation and digital services business delivering innovative solutions and simplifying the connections between businesses, customers, governments and citizens. Equal Opportunity We are committed to building a workforce that reflects the diversity of the communities we serve. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds. We're an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We're committed to providing an inclusive, barrier free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format or if you'd like to discuss other changes or support you might need going forward, please email .
13/06/2026
Full time
Purpose of the role: We are seeking an experienced DevOps Engineer to design, implement, and manage automated CI/CD pipelines within our cloud and Salesforce ecosystems. You will own build and deployment workflows in Azure DevOps, drive environment stability and release governance, and partner closely with Salesforce, MuleSoft, QA, and Operations. You will be responsible for ensuring seamless software delivery through high-quality automation and robust deployment strategies. Job Title Senior DevOps Engineer (DSA BAU) Eligibility CANDIDATES MUST BE ELIGIBLE FOR SC CLEARANCE. What you'll be doing CI/CD Pipeline Management: Design, configure, and maintain end-to-end automated pipelines using Azure DevOps for both standard applications and Salesforce-specific workflows. (Repos, Pipelines, Artifacts for Salesforce and MuleSoft components; define branching, versioning, and release workflows). Salesforce Deployments: Lead release management activities for Salesforce, including metadata management, environment synchronization, and sandbox refreshes. (SFDX/Metadata API, packaging, org to org promotion), ensuring consistent pipelines across SIT, UAT, Pre Prod and Prod. Collaboration: Partner with development, QA, and security teams to align DevOps strategies with business needs and resolve deployment blockers. Monitoring & Security: Implement observability and security scanning within pipelines to ensure system health and compliance. Create and manage user access in ADO and Salesforce platforms. Mentorship: Mentor engineers on CI/CD, tooling, and best practices; contribute to internal playbooks and KT assets for onboarding/new joiners. What we're looking for Essential 5+ years of professional experience in DevOps or Release Engineering. Deep knowledge of the Azure DevOps suite (Pipelines, Boards, Repos, multi stage YAML/classic pipelines, environments, approvals, artifacts). Strong understanding of Salesforce metadata (Apex, LWC, Flows) and Salesforce CLI (SFDX). Proficiency in Git and advanced branching strategies like GitFlow. Proficiency in Bash, Python, or PowerShell for custom automation tasks. Experience with CI/CD Pipeline Management, Salesforce Deployments, Collaboration, Monitoring & Security, Mentor. Preferred Deployment Tools: Hands on experience with Copado or Flosum for automated Salesforce releases. Infrastructure as Code: Use tools like Terraform or Ansible to automate infrastructure provisioning and maintain consistency across environments. MuleSoft Integration: Oversee deployment and lifecycle management for MuleSoft APIs and integrations, ensuring high availability and reliability. (CloudHub 2.0, Runtime Manager, properties encryption, secret management via Azure Key Vault). How this aligns to Capita's values Customer First, Always Stable: automated CI/CD and release processes are delivered to ensure smooth, predictable deployments that support teams and end users. Fearless Innovation: Modern automation, AI enhancements, and continuous pipeline improvements are introduced to increase delivery speed, quality, and reliability. Achieve Together: Development, QA, and security teams collaborate effectively to unblock releases, align workflows, and maintain consistent deployments across environments. Everyone is Valued: Engineers are supported through mentoring, shared best practices, and clear documentation that strengthens onboarding and team capability. Company and Benefits The role offers a competitive basic salary, 23 days' holiday (rising to 27), the opportunity to buy extra leave, a paid day out of the office, volunteering for charity partners, company matched pension, life assurance, a cycle2work scheme, 15 weeks' fully paid maternity, adoption and shared parental leave, paternity pay of two weeks, and a range of voluntary benefits designed to suit your lifestyle. Working Conditions Location: London, United Kingdom Time Type: Full time Contract Type: Permanent Capita is a consulting, transformation and digital services business delivering innovative solutions and simplifying the connections between businesses, customers, governments and citizens. Equal Opportunity We are committed to building a workforce that reflects the diversity of the communities we serve. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds. We're an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We're committed to providing an inclusive, barrier free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format or if you'd like to discuss other changes or support you might need going forward, please email .
Senior/Staff Backend Engineer
Jobgether
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior/Staff Backend Engineer in United Kingdom. This role offers the opportunity to build and scale core backend systems powering next-generation AI-native enterprise software in one of the most complex and high-impact domains: finance and ERP. You will be responsible for designing and delivering high-performance backend services that handle real-time, business-critical accounting workflows at scale. The position requires strong ownership, as you will architect systems end-to-end-from design and implementation to deployment, monitoring, and continuous improvement. You will work closely with product and engineering teams to translate complex financial processes into reliable, secure, and scalable software solutions. The environment is fast-paced, high-trust, and highly ambitious, with strong expectations around execution speed, technical excellence, and accountability. This is a rare opportunity to join an early stage, high growth AI company shaping the future of enterprise finance systems. Accountabilities Design, build, and scale core backend systems supporting complex, real time financial and ERP workflows. Develop robust APIs, services, and infrastructure using Python and modern backend frameworks. Own the full software lifecycle including architecture, development, testing, CI/CD pipelines, deployment, and post release monitoring. Work closely with product teams to translate complex accounting and finance requirements into scalable technical solutions. Manage and optimize databases including PostgreSQL, schema design, migrations, and performance tuning. Integrate third party systems and external services while managing edge cases, reliability, and risk. Build and maintain production grade systems capable of handling high complexity and evolving business logic. Continuously improve system performance, scalability, and reliability in a fast-moving environment. Requirements 5+ years of experience in backend engineering roles (language agnostic). Strong experience building scalable, production grade backend systems with complex business logic. Proficiency with cloud infrastructure (AWS or similar environments). Strong expertise in databases, including PostgreSQL, SQL, ORM frameworks, schema design, and data migrations. Experience designing and building robust APIs and backend services. Solid understanding of software engineering best practices, CI/CD pipelines, and production operations. Ability to work with evolving requirements in complex, high scale systems. Experience in fast paced, high ownership engineering environments. Python experience with frameworks such as FastAPI, Flask, or Django is a strong plus. Excellent communication skills and fluency in English (C1+). Strong problem solving mindset, curiosity, and ability to move quickly with high autonomy. Benefits Base salary range: USD $140,000 - $250,000 Equity package: USD $50,000 - $80,000 Remote first work model with global team flexibility 27 days of paid time off (including public holidays) Learning and development budget for courses, certifications, and training Support for home office setup, internet, and equipment needs Opportunity for future relocation with visa sponsorship options to New York High impact early stage role with significant ownership and career growth potential Fast paced, high trust environment with strong technical culture
13/06/2026
Full time
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior/Staff Backend Engineer in United Kingdom. This role offers the opportunity to build and scale core backend systems powering next-generation AI-native enterprise software in one of the most complex and high-impact domains: finance and ERP. You will be responsible for designing and delivering high-performance backend services that handle real-time, business-critical accounting workflows at scale. The position requires strong ownership, as you will architect systems end-to-end-from design and implementation to deployment, monitoring, and continuous improvement. You will work closely with product and engineering teams to translate complex financial processes into reliable, secure, and scalable software solutions. The environment is fast-paced, high-trust, and highly ambitious, with strong expectations around execution speed, technical excellence, and accountability. This is a rare opportunity to join an early stage, high growth AI company shaping the future of enterprise finance systems. Accountabilities Design, build, and scale core backend systems supporting complex, real time financial and ERP workflows. Develop robust APIs, services, and infrastructure using Python and modern backend frameworks. Own the full software lifecycle including architecture, development, testing, CI/CD pipelines, deployment, and post release monitoring. Work closely with product teams to translate complex accounting and finance requirements into scalable technical solutions. Manage and optimize databases including PostgreSQL, schema design, migrations, and performance tuning. Integrate third party systems and external services while managing edge cases, reliability, and risk. Build and maintain production grade systems capable of handling high complexity and evolving business logic. Continuously improve system performance, scalability, and reliability in a fast-moving environment. Requirements 5+ years of experience in backend engineering roles (language agnostic). Strong experience building scalable, production grade backend systems with complex business logic. Proficiency with cloud infrastructure (AWS or similar environments). Strong expertise in databases, including PostgreSQL, SQL, ORM frameworks, schema design, and data migrations. Experience designing and building robust APIs and backend services. Solid understanding of software engineering best practices, CI/CD pipelines, and production operations. Ability to work with evolving requirements in complex, high scale systems. Experience in fast paced, high ownership engineering environments. Python experience with frameworks such as FastAPI, Flask, or Django is a strong plus. Excellent communication skills and fluency in English (C1+). Strong problem solving mindset, curiosity, and ability to move quickly with high autonomy. Benefits Base salary range: USD $140,000 - $250,000 Equity package: USD $50,000 - $80,000 Remote first work model with global team flexibility 27 days of paid time off (including public holidays) Learning and development budget for courses, certifications, and training Support for home office setup, internet, and equipment needs Opportunity for future relocation with visa sponsorship options to New York High impact early stage role with significant ownership and career growth potential Fast paced, high trust environment with strong technical culture
Senior Cloud Network Engineer
Cerebras Bristol, Gloucestershire
About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group - bringing large and ongoing investment from one of the world's leading backers of innovative AI companies. Job Summary We are looking for a Senior Network Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off the shelf high-performance servers, switches and storage solutions. This is a hands on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre-release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate high-performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues. Work with users to provide information of any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds. Work with external vendors of off the shelf switches, servers and storage solutions to integrate third party products into our Cloud Reference Design, with a focus on network performance, automation and resilience. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Significant hands on experience with one or more vendor's high end (100Gb/s+) Ethernet switch solutions. Experience managing on premises or private cloud environments. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems) and how they relate to high-performance networking. Experience with IAC automation tools (Terraform/OpenTofu, Ansible). Experience with container deployment and management tools (e.g. docker). Experience with solutions for monitoring and observability e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack cloud platforms. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Experience with hardware offloading on RDMA capable NICs and how that integrates with virtual networking on Open vSwitch, KVM/QEMU. Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
13/06/2026
Full time
About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group - bringing large and ongoing investment from one of the world's leading backers of innovative AI companies. Job Summary We are looking for a Senior Network Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off the shelf high-performance servers, switches and storage solutions. This is a hands on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre-release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate high-performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues. Work with users to provide information of any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds. Work with external vendors of off the shelf switches, servers and storage solutions to integrate third party products into our Cloud Reference Design, with a focus on network performance, automation and resilience. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Significant hands on experience with one or more vendor's high end (100Gb/s+) Ethernet switch solutions. Experience managing on premises or private cloud environments. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems) and how they relate to high-performance networking. Experience with IAC automation tools (Terraform/OpenTofu, Ansible). Experience with container deployment and management tools (e.g. docker). Experience with solutions for monitoring and observability e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack cloud platforms. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Experience with hardware offloading on RDMA capable NICs and how that integrates with virtual networking on Open vSwitch, KVM/QEMU. Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Senior Software Engineer & SRE, Application Middleware
Job Search Place Limited
Job Search Place Limited is looking for a Senior Software Engineer / SRE to join their team. You will build high-performance systems ensuring reliability and resilience across Bloomberg's core infrastructure. The ideal candidate will possess strong software engineering skills, especially in Python and C++. Responsibilities include designing scalable systems and leading root cause analyses to enhance operational efficiency. Bloomberg values diversity and is an equal opportunity employer.
13/06/2026
Full time
Job Search Place Limited is looking for a Senior Software Engineer / SRE to join their team. You will build high-performance systems ensuring reliability and resilience across Bloomberg's core infrastructure. The ideal candidate will possess strong software engineering skills, especially in Python and C++. Responsibilities include designing scalable systems and leading root cause analyses to enhance operational efficiency. Bloomberg values diversity and is an equal opportunity employer.
Security Engineer (Institutional Trading)
Prudence Holdings
You'll be the hands on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high visibility role where you will focus on operational security engineering-ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart contract auditing. What You Will Do Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third party integrations and custody/settlement touchpoints. Conduct deep dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional grade standards (e.g., CCSS, NIST, DORA). Act as the primary security liaison for Senior Management and third party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high impact posture uplifts. Implement and maintain monitoring for FinOps specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real time response. Support secrets and key management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage. Assist product security in triage of SAST/SCA findings for FinOps related repositories. You will help implement CI checks and remediation playbooks. Participate in incident exercises, post incident reviews and remediation tracking for trading incidents. Document controls and produce concise risk summaries for FinOps leads and the Security. What You Will Need 5+ years in security engineering, platform security, or application security experience. Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes. Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules. Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least privilege. Exceptional ability to translate "Technical Debt" into Business Risk for C suite stakeholders (CFO, CTO, Head of Trading). Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python). Experience conducting technical due diligence and scoping for third party security integrations. Nice to Have Familiarity with trading systems or financial operations (market making, execution, settlement) or close collaboration background with trading/quant teams. Exposure to blockchain on chain concepts (wallets, addresses, transactions) but no requirement to audit contracts. Familiarity with SOC operations, and post incident forensic analysis. Familiarity with SOC2, ISO 27001, or financial audit requirements Any relevant industry certification Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time. You may contact our Data Protection Officer by email at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
13/06/2026
Full time
You'll be the hands on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high visibility role where you will focus on operational security engineering-ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart contract auditing. What You Will Do Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third party integrations and custody/settlement touchpoints. Conduct deep dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional grade standards (e.g., CCSS, NIST, DORA). Act as the primary security liaison for Senior Management and third party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high impact posture uplifts. Implement and maintain monitoring for FinOps specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real time response. Support secrets and key management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage. Assist product security in triage of SAST/SCA findings for FinOps related repositories. You will help implement CI checks and remediation playbooks. Participate in incident exercises, post incident reviews and remediation tracking for trading incidents. Document controls and produce concise risk summaries for FinOps leads and the Security. What You Will Need 5+ years in security engineering, platform security, or application security experience. Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes. Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules. Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least privilege. Exceptional ability to translate "Technical Debt" into Business Risk for C suite stakeholders (CFO, CTO, Head of Trading). Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python). Experience conducting technical due diligence and scoping for third party security integrations. Nice to Have Familiarity with trading systems or financial operations (market making, execution, settlement) or close collaboration background with trading/quant teams. Exposure to blockchain on chain concepts (wallets, addresses, transactions) but no requirement to audit contracts. Familiarity with SOC operations, and post incident forensic analysis. Familiarity with SOC2, ISO 27001, or financial audit requirements Any relevant industry certification Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time. You may contact our Data Protection Officer by email at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
WISE Campaign
Senior Compute Platform Engineer - Hybrid HPC/Cloud
WISE Campaign
GSK is searching for a talented individual to join their Compute Platform Engineering team in London, responsible for designing tools to address key business problems and enhancing a hybrid on-prem/cloud compute platform. A bachelor's degree in data or software engineering, along with 6+ years of relevant experience, is required. The ideal candidate is proficient in Python, has extensive experience in cloud environments and high-performance computing, and is skilled in CI/CD practices. Join us in revolutionizing data handling and accelerating medical research!
13/06/2026
Full time
GSK is searching for a talented individual to join their Compute Platform Engineering team in London, responsible for designing tools to address key business problems and enhancing a hybrid on-prem/cloud compute platform. A bachelor's degree in data or software engineering, along with 6+ years of relevant experience, is required. The ideal candidate is proficient in Python, has extensive experience in cloud environments and high-performance computing, and is skilled in CI/CD practices. Join us in revolutionizing data handling and accelerating medical research!
WISE Campaign
Senior Compute Platform Engineer
WISE Campaign
Job description Site Name: London The Stanley Building Posted Date: Jun 8 2026 Overview At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization is a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Team and Role We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision makers, providing best-in-class AI/ML, aggressively engineering our data at scale. The Compute Platform Engineering team is building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing. This metadata-forward, CI/CD-driven platform represents and enables the entire application and analysis lifecycle including interactive development, large-scale batch processing, observability and production application deployments. Key Responsibilities Design, build and operate tools, services, workflows that deliver high value solving key business problems Develop key components of a hybrid on prem/cloud compute platform for interactive and scalable batch computing and establish processes and workflows to transition existing HPC users and teams to this platform Develop code driven environments, applications, and container/image builds as well as CI/CD driven application deployments Consult science users on application scalability to petabytes of data, having deep understanding of software engineering, algorithms and infrastructure impact on performance Optimize design and execution of complex solutions within large scale distributed computing environments Produce well engineered software, including automated test suites, documentation and operational strategy Ensure consistent application of platform abstractions for logging and lineage quality and consistency Apply coding best practices, participate in code reviews and improve team standards Adhere to QMS framework and CI/CD best practices, guiding improvements to them and ways of working Provide leadership to team members helping others complete tasks properly Basic Qualifications Bachelor's degree in data engineering, Computer Science, Software Engineering or related discipline 6+ years of professional experience Experience with Python Experience with Cloud Experience with High Performance Compute (HPC) Preferred Qualifications Deep knowledge of at least one common programming language (Python, C++, Java) including documentation, testing, and operations tools Expertise in modern software development tools and workflows (Git, GitHub, DevOps tools, metrics, monitoring) Deep cloud expertise (AWS, Google Cloud, Azure) including infrastructure-as-code and scalable compute technologies (Google Batch, Vertex, etc.) Experience with CI/CD implementations using Git and a common CI/CD stack (Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab) Expertise with Docker, Kubernetes and the CNCF ecosystem, including Helm Experience with low level application build tools (make, CMake) and automated build systems (Spack, EasyBuild) Experience with workflow orchestration tools (Argo, Airflow, Nextflow, Snakemake, VisTrails, Cromwell) Experience with application performance tuning and optimization in parallel and distributed computing, MPI, OpenMP, Gloo and underlying systems Demonstrated excellence in agile environments using Jira and Confluence Deep familiarity with optimizations in high performance application space and open source community engagement Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
13/06/2026
Full time
Job description Site Name: London The Stanley Building Posted Date: Jun 8 2026 Overview At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization is a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Team and Role We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision makers, providing best-in-class AI/ML, aggressively engineering our data at scale. The Compute Platform Engineering team is building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing. This metadata-forward, CI/CD-driven platform represents and enables the entire application and analysis lifecycle including interactive development, large-scale batch processing, observability and production application deployments. Key Responsibilities Design, build and operate tools, services, workflows that deliver high value solving key business problems Develop key components of a hybrid on prem/cloud compute platform for interactive and scalable batch computing and establish processes and workflows to transition existing HPC users and teams to this platform Develop code driven environments, applications, and container/image builds as well as CI/CD driven application deployments Consult science users on application scalability to petabytes of data, having deep understanding of software engineering, algorithms and infrastructure impact on performance Optimize design and execution of complex solutions within large scale distributed computing environments Produce well engineered software, including automated test suites, documentation and operational strategy Ensure consistent application of platform abstractions for logging and lineage quality and consistency Apply coding best practices, participate in code reviews and improve team standards Adhere to QMS framework and CI/CD best practices, guiding improvements to them and ways of working Provide leadership to team members helping others complete tasks properly Basic Qualifications Bachelor's degree in data engineering, Computer Science, Software Engineering or related discipline 6+ years of professional experience Experience with Python Experience with Cloud Experience with High Performance Compute (HPC) Preferred Qualifications Deep knowledge of at least one common programming language (Python, C++, Java) including documentation, testing, and operations tools Expertise in modern software development tools and workflows (Git, GitHub, DevOps tools, metrics, monitoring) Deep cloud expertise (AWS, Google Cloud, Azure) including infrastructure-as-code and scalable compute technologies (Google Batch, Vertex, etc.) Experience with CI/CD implementations using Git and a common CI/CD stack (Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab) Expertise with Docker, Kubernetes and the CNCF ecosystem, including Helm Experience with low level application build tools (make, CMake) and automated build systems (Spack, EasyBuild) Experience with workflow orchestration tools (Argo, Airflow, Nextflow, Snakemake, VisTrails, Cromwell) Experience with application performance tuning and optimization in parallel and distributed computing, MPI, OpenMP, Gloo and underlying systems Demonstrated excellence in agile environments using Jira and Confluence Deep familiarity with optimizations in high performance application space and open source community engagement Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
Senior Product Security Engineer
9fin Limited
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. The Opportunity We're looking for a Senior Product Security Engineer to join one of our software engineering teams and help shape the security of our products as we continue to scale. This role will be embedded within a team responsible for some of the most security critical parts of the 9fin platform. The team works on the systems and controls that protect sensitive customer information, ensuring data is stored, accessed and processed securely throughout its lifecycle. You'll work alongside product engineers day to day, participating in planning, design discussions, refinement sessions and technical decision making. You'll help the team make sound architectural decisions about how sensitive information is stored, processed and accessed, balancing security requirements with product and engineering goals. The team operates at the intersection of application security, cloud security, data protection and AI security. You'll help shape how 9fin approaches challenges such as tenant isolation, access control, confidential data handling and the secure use of AI systems. While embedded within product engineering, you'll remain closely connected to our Platform Engineering and Information Security teams, helping drive a consistent approach to security across 9fin. This is a hands on engineering role. You won't be building product features full time, but you should be comfortable reading, reviewing and writing production code when security requirements demand it. What you'll work on Embed within a product engineering team and help shape the security of our products from design through to production. Influence architecture, design and implementation decisions to ensure security is considered from the outset. Partner with Product Engineering, Platform Engineering and Information Security teams to identify risks, define appropriate controls, and build secure by default systems. Contribute code, reviews and technical guidance where security expertise is required. Act as a security advocate and trusted advisor within the team, helping balance risk, usability and delivery. What we're looking for Significant experience securing modern software systems and applications. Strong understanding of secure software architecture, threat modelling and security engineering practices. Deep familiarity with cloud native architectures and security controls, particularly within AWS. Experience designing systems that handle sensitive, confidential or regulated data. Comfortable reading, reviewing and writing production code, ideally with experience in Python or similar backend technologies. Familiar with the security considerations of modern data stores such as PostgreSQL. Pragmatic judgement and the ability to balance security, product and engineering needs. Ability to influence engineers and stakeholders across multiple teams without relying on formal authority. Familiarisation with SOC2 and ISO 42001 is a bonus. What success looks like Security considerations are embedded into product design discussions rather than introduced late in the delivery process. Teams can move quickly because secure patterns, architectural guidance and security controls are well understood. Risks are identified and addressed before they become incidents. Security is seen as an enabler of product delivery rather than a gatekeeper. Why this role matters Security cannot be something that happens after software has been designed. As 9fin continues to expand its platform and handle increasingly sensitive customer information, we need security expertise embedded where decisions are being made. This role will help ensure that security is considered from the earliest stages of product development, allowing us to move quickly while maintaining the trust our customers place in us. Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity options Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
13/06/2026
Full time
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. The Opportunity We're looking for a Senior Product Security Engineer to join one of our software engineering teams and help shape the security of our products as we continue to scale. This role will be embedded within a team responsible for some of the most security critical parts of the 9fin platform. The team works on the systems and controls that protect sensitive customer information, ensuring data is stored, accessed and processed securely throughout its lifecycle. You'll work alongside product engineers day to day, participating in planning, design discussions, refinement sessions and technical decision making. You'll help the team make sound architectural decisions about how sensitive information is stored, processed and accessed, balancing security requirements with product and engineering goals. The team operates at the intersection of application security, cloud security, data protection and AI security. You'll help shape how 9fin approaches challenges such as tenant isolation, access control, confidential data handling and the secure use of AI systems. While embedded within product engineering, you'll remain closely connected to our Platform Engineering and Information Security teams, helping drive a consistent approach to security across 9fin. This is a hands on engineering role. You won't be building product features full time, but you should be comfortable reading, reviewing and writing production code when security requirements demand it. What you'll work on Embed within a product engineering team and help shape the security of our products from design through to production. Influence architecture, design and implementation decisions to ensure security is considered from the outset. Partner with Product Engineering, Platform Engineering and Information Security teams to identify risks, define appropriate controls, and build secure by default systems. Contribute code, reviews and technical guidance where security expertise is required. Act as a security advocate and trusted advisor within the team, helping balance risk, usability and delivery. What we're looking for Significant experience securing modern software systems and applications. Strong understanding of secure software architecture, threat modelling and security engineering practices. Deep familiarity with cloud native architectures and security controls, particularly within AWS. Experience designing systems that handle sensitive, confidential or regulated data. Comfortable reading, reviewing and writing production code, ideally with experience in Python or similar backend technologies. Familiar with the security considerations of modern data stores such as PostgreSQL. Pragmatic judgement and the ability to balance security, product and engineering needs. Ability to influence engineers and stakeholders across multiple teams without relying on formal authority. Familiarisation with SOC2 and ISO 42001 is a bonus. What success looks like Security considerations are embedded into product design discussions rather than introduced late in the delivery process. Teams can move quickly because secure patterns, architectural guidance and security controls are well understood. Risks are identified and addressed before they become incidents. Security is seen as an enabler of product delivery rather than a gatekeeper. Why this role matters Security cannot be something that happens after software has been designed. As 9fin continues to expand its platform and handle increasingly sensitive customer information, we need security expertise embedded where decisions are being made. This role will help ensure that security is considered from the earliest stages of product development, allowing us to move quickly while maintaining the trust our customers place in us. Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity options Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
AI Engineer - Azure & C# .NET
Simplify Group
AI ENGINEER - AZURE & C# .NET Up to £60,000.00 Home Based with occasional travel Are You An AI Engineer, a strong Software Engineer transitioning into AI, or perhaps a Data/Automation Engineer with some GenAI delivery experience? Do you have working knowledge of Azure OpenAI? Proficient in C#/.NET? Based in the UK with valid right to work? What You'll Be Doing We are seeking a capable and solutions focused AI Engineer to join our growing AI Team. This role blends Generative AI, Machine Learning (ML), Microsoft centric software engineering, and integration, and is suited to someone who has delivered AI powered solutions and is ready to deepen their expertise in an enterprise environment. You will work across Azure, M365, Copilot, Copilot Studio, Databricks, and modern engineering frameworks to deliver production grade AI services under agreed architecture and security standards. The role includes hands on experimentation and rapid proof of concept (PoC) development, with guidance from senior engineers on governance, risk, and best practice. You will help scale AI safely and sustainably across our property and legal services domain. We can offer the successful candidate mentorship from Senior AI colleagues, support in architecture and governance, and opportunity to deepen Azure AI / Copilot / ML expertise. Key Responsibilities AI & GenAI Engineering Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns. Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations. Build conversational assistants and workflow automations using Copilot Studio and the Power Platform. Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility. Support evaluation and integration of third party AI tools or APIs where required, working with the team to meet governance and security requirements. Machine Leaning Engineering Develop and operationalise ML models with appropriate review and documentation. Translate prototypes into robust services, collaborating with engineering colleagues to meet non functional requirements. Create ML pipelines and automate lifecycle workflows using team tooling and standards. Assist with monitoring, optimisation, escalating risks and issues where appropriate. Microsoft Code-Based Development Build AI enabled services and APIs using .NET/C#, Azure Functions, and REST under guidance on patterns and quality. Use Visual Studio, VS Code, GitHub, and Azure DevOps for CI/CD. Contribute to deployments using infrastructure as code templates (e.g., Bicep or ARM), with support from senior engineers. Implement integrations with Logic Apps, Service Bus, and Event Grid using secure, approved patterns. Data, Engineering & Integration Work with data and AI platforms such as Databricks and Azure data services. Build and maintain pipelines for ML and LLM workloads, partnering with data engineering where needed. Integrate internal and external systems using secure authentication and authorisation approaches. Follow responsible AI, privacy, and security standards, contributing to risk assessment and documentation. Quality, Testing & Delivery Conduct evaluation, guardrail and regression testing. Document architectures, PoCs, and technical decisions. Collaborate with stakeholders to refine use cases and deliver solutions. Core Requirements Hands on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions. Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG). Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment. Proficiency in C#/.NET plus SQL fundamentals. Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration. Experience using Git based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps). Strong communication and problem solving skills, including clear technical documentation. Whilst not essential, we are especially keen to hear from candidates who demonstrate knowledge and experience in one or more of the following areas: Python, building RAG solutions end to end and improving answer quality; Copilot Studio connectors/actions and Power Platform ALM; Databricks, Fabric, or Azure ML in a delivery setting; working knowledge of infrastructure as code and cloud deployment practices; understanding of REST API design and microservices patterns; awareness of emerging agent patterns i.e., MCP/structured agentic architectures; and/or relevant certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, Power Platform Developer or Solution Architect, Databricks ML or Generative AI certifications, or Emerging AI and AI Solution certifications. Our People Simplify believes diversity brings benefits for our clients, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation.
13/06/2026
Full time
AI ENGINEER - AZURE & C# .NET Up to £60,000.00 Home Based with occasional travel Are You An AI Engineer, a strong Software Engineer transitioning into AI, or perhaps a Data/Automation Engineer with some GenAI delivery experience? Do you have working knowledge of Azure OpenAI? Proficient in C#/.NET? Based in the UK with valid right to work? What You'll Be Doing We are seeking a capable and solutions focused AI Engineer to join our growing AI Team. This role blends Generative AI, Machine Learning (ML), Microsoft centric software engineering, and integration, and is suited to someone who has delivered AI powered solutions and is ready to deepen their expertise in an enterprise environment. You will work across Azure, M365, Copilot, Copilot Studio, Databricks, and modern engineering frameworks to deliver production grade AI services under agreed architecture and security standards. The role includes hands on experimentation and rapid proof of concept (PoC) development, with guidance from senior engineers on governance, risk, and best practice. You will help scale AI safely and sustainably across our property and legal services domain. We can offer the successful candidate mentorship from Senior AI colleagues, support in architecture and governance, and opportunity to deepen Azure AI / Copilot / ML expertise. Key Responsibilities AI & GenAI Engineering Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns. Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations. Build conversational assistants and workflow automations using Copilot Studio and the Power Platform. Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility. Support evaluation and integration of third party AI tools or APIs where required, working with the team to meet governance and security requirements. Machine Leaning Engineering Develop and operationalise ML models with appropriate review and documentation. Translate prototypes into robust services, collaborating with engineering colleagues to meet non functional requirements. Create ML pipelines and automate lifecycle workflows using team tooling and standards. Assist with monitoring, optimisation, escalating risks and issues where appropriate. Microsoft Code-Based Development Build AI enabled services and APIs using .NET/C#, Azure Functions, and REST under guidance on patterns and quality. Use Visual Studio, VS Code, GitHub, and Azure DevOps for CI/CD. Contribute to deployments using infrastructure as code templates (e.g., Bicep or ARM), with support from senior engineers. Implement integrations with Logic Apps, Service Bus, and Event Grid using secure, approved patterns. Data, Engineering & Integration Work with data and AI platforms such as Databricks and Azure data services. Build and maintain pipelines for ML and LLM workloads, partnering with data engineering where needed. Integrate internal and external systems using secure authentication and authorisation approaches. Follow responsible AI, privacy, and security standards, contributing to risk assessment and documentation. Quality, Testing & Delivery Conduct evaluation, guardrail and regression testing. Document architectures, PoCs, and technical decisions. Collaborate with stakeholders to refine use cases and deliver solutions. Core Requirements Hands on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions. Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG). Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment. Proficiency in C#/.NET plus SQL fundamentals. Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration. Experience using Git based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps). Strong communication and problem solving skills, including clear technical documentation. Whilst not essential, we are especially keen to hear from candidates who demonstrate knowledge and experience in one or more of the following areas: Python, building RAG solutions end to end and improving answer quality; Copilot Studio connectors/actions and Power Platform ALM; Databricks, Fabric, or Azure ML in a delivery setting; working knowledge of infrastructure as code and cloud deployment practices; understanding of REST API design and microservices patterns; awareness of emerging agent patterns i.e., MCP/structured agentic architectures; and/or relevant certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, Power Platform Developer or Solution Architect, Databricks ML or Generative AI certifications, or Emerging AI and AI Solution certifications. Our People Simplify believes diversity brings benefits for our clients, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation.
Redline Group Ltd
Systems Engineer - Linux
Redline Group Ltd Ashby-de-la-zouch, Leicestershire
We are working with a globally recognised, high growth technology business within the transport sector to recruit an experienced Systems Engineer - Linux based in Ashby de la Zouch. This is a technically varied role suited to someone who enjoys hands on work across both software and hardware, with a genuine interest in connected vehicle and transport systems. Long term, the role carries a clear progression pathway to Senior Systems Engineer as the team continues to grow. Responsibilities Configure, maintain, and troubleshoot Linux based and embedded systems Manage and optimise network infrastructure including routers, switches, and wireless devices Implement and deploy VPN technologies, with a focus on WireGuard Interact with cloud services across Azure and AWS environments Perform batch configuration across multiple field deployed devices Conduct hardware setup, fault diagnosis, and functional testing Produce engineering drawings, wiring diagrams, and system schematics Deliver remote support and software deployments to field engineers and end users Qualifications Strong working knowledge of Linux administration - this is essential Solid understanding of IP networking, routing, firewalls, and subnetting Hands on experience configuring and troubleshooting routers and network appliances Experience with hardware testing, system validation, and quality assurance Ability to produce clear engineering drawings (Visio, Draw.Io, or CAD) Experience providing remote technical support and distributed deployments Strong analytical thinking and communication skills Background in automotive, telecommunications, or a similar technical sector is advantageous Desirable Skills Experience with transportation tech: DVR/NVR systems, passenger WiFi, counting sensors, or on board displays Knowledge of OpenWRT or embedded Linux firmware development Scripting skills in Bash or Python for automation tasks Exposure to IoT, edge networking, or vehicle based connectivity Familiarity with WireGuard or other modern VPN technologies
13/06/2026
Full time
We are working with a globally recognised, high growth technology business within the transport sector to recruit an experienced Systems Engineer - Linux based in Ashby de la Zouch. This is a technically varied role suited to someone who enjoys hands on work across both software and hardware, with a genuine interest in connected vehicle and transport systems. Long term, the role carries a clear progression pathway to Senior Systems Engineer as the team continues to grow. Responsibilities Configure, maintain, and troubleshoot Linux based and embedded systems Manage and optimise network infrastructure including routers, switches, and wireless devices Implement and deploy VPN technologies, with a focus on WireGuard Interact with cloud services across Azure and AWS environments Perform batch configuration across multiple field deployed devices Conduct hardware setup, fault diagnosis, and functional testing Produce engineering drawings, wiring diagrams, and system schematics Deliver remote support and software deployments to field engineers and end users Qualifications Strong working knowledge of Linux administration - this is essential Solid understanding of IP networking, routing, firewalls, and subnetting Hands on experience configuring and troubleshooting routers and network appliances Experience with hardware testing, system validation, and quality assurance Ability to produce clear engineering drawings (Visio, Draw.Io, or CAD) Experience providing remote technical support and distributed deployments Strong analytical thinking and communication skills Background in automotive, telecommunications, or a similar technical sector is advantageous Desirable Skills Experience with transportation tech: DVR/NVR systems, passenger WiFi, counting sensors, or on board displays Knowledge of OpenWRT or embedded Linux firmware development Scripting skills in Bash or Python for automation tasks Exposure to IoT, edge networking, or vehicle based connectivity Familiarity with WireGuard or other modern VPN technologies
Software Engineer
Abound
About Abound We're redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We've issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us. About the Role We're looking for a Software Engineer II to help build the systems that automate how our Finance and Operations teams work. As Abound scales, the manual workflows that powered us through our first £1bn of lending are becoming reliable, observable, automated systems-covering reconciliations, reporting, payments operations, collections workflows, and the day to day tooling our internal teams rely on. This is a hands on engineering role on a small, high impact team. You'll write production code every day, taking well scoped pieces of work from design through testing and deployment, with senior and lead engineers supporting you on the larger or more ambiguous problems. Over time you'll grow ownership of the components and services you work on, and take on more of the discovery and design yourself. You won't just close tickets. You'll get close enough to the Finance and Operations workflows to understand the problem you're solving, ask good questions, and care about whether the system actually works for the people using it. We value engineers who take ownership, communicate clearly, and want to keep levelling up-this role has a clear path toward Senior Software Engineer. Our technology stack Python (FastAPI, SQLAlchemy, OpenTelemetry, Procrastinate), PostgreSQL, Liquibase, Docker, AWS Who you are Solid experience building production systems in Python - you're comfortable with type hints, write tests as a matter of habit, and have some exposure to async code (or are keen to learn) Able to take a well defined problem and deliver it end to end with limited guidance, while knowing when to ask for help on the bigger pieces Care about code quality, reliability, and maintainability, especially when building for internal users where accuracy and auditability matter A growing product mindset you want to understand the problem behind the ticket, and you're comfortable asking why Curiosity about how finance and operations functions actually run (reconciliations, ledgers, reporting, payment flows, ops workflows), or a track record of picking up unfamiliar domains quickly Clear communicator who works well with engineers and, increasingly, directly with business stakeholders Comfortable in a fast paced environment where accuracy, reliability, and clear communication are essential Keen to grow - you take feedback well and want to develop toward more ownership and technical depth Nice to have Experience working with relational databases and writing SQL (PostgreSQL especially) Exposure to cloud infrastructure (AWS, GCP, or Azure) Prior experience automating finance, accounting, or operations workflows Interest or experience in lending, payments, or financial services more broadly Exposure to observability tooling and supporting systems in production What you'll be doing Build and ship Python services and features that automate finance and operations workflows- from data ingestion through to the reports, actions, and exceptions that land with business users Take well scoped pieces of work from implementation through testing, deployment, and monitoring, with support from senior engineers on larger designs Participate actively in code review, write meaningful tests, and help uphold the team's engineering standards Work alongside senior engineers and, increasingly, directly with Finance and Operations stakeholders to understand requirements and turn them into reliable systems Grow ownership of the components and services you work on, taking on more of the design and discovery over time Help support business critical systems in production, troubleshooting issues that affect Finance and Operations users (with support as you build up context) Contribute to the team's delivery process sprint planning, sizing, and retrospectives Make pragmatic technical decisions that balance shipping today with maintainability tomorrow What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership Team wellness budget to be active together-set up a yoga class, a tennis lesson or go bouldering
13/06/2026
Full time
About Abound We're redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We've issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us. About the Role We're looking for a Software Engineer II to help build the systems that automate how our Finance and Operations teams work. As Abound scales, the manual workflows that powered us through our first £1bn of lending are becoming reliable, observable, automated systems-covering reconciliations, reporting, payments operations, collections workflows, and the day to day tooling our internal teams rely on. This is a hands on engineering role on a small, high impact team. You'll write production code every day, taking well scoped pieces of work from design through testing and deployment, with senior and lead engineers supporting you on the larger or more ambiguous problems. Over time you'll grow ownership of the components and services you work on, and take on more of the discovery and design yourself. You won't just close tickets. You'll get close enough to the Finance and Operations workflows to understand the problem you're solving, ask good questions, and care about whether the system actually works for the people using it. We value engineers who take ownership, communicate clearly, and want to keep levelling up-this role has a clear path toward Senior Software Engineer. Our technology stack Python (FastAPI, SQLAlchemy, OpenTelemetry, Procrastinate), PostgreSQL, Liquibase, Docker, AWS Who you are Solid experience building production systems in Python - you're comfortable with type hints, write tests as a matter of habit, and have some exposure to async code (or are keen to learn) Able to take a well defined problem and deliver it end to end with limited guidance, while knowing when to ask for help on the bigger pieces Care about code quality, reliability, and maintainability, especially when building for internal users where accuracy and auditability matter A growing product mindset you want to understand the problem behind the ticket, and you're comfortable asking why Curiosity about how finance and operations functions actually run (reconciliations, ledgers, reporting, payment flows, ops workflows), or a track record of picking up unfamiliar domains quickly Clear communicator who works well with engineers and, increasingly, directly with business stakeholders Comfortable in a fast paced environment where accuracy, reliability, and clear communication are essential Keen to grow - you take feedback well and want to develop toward more ownership and technical depth Nice to have Experience working with relational databases and writing SQL (PostgreSQL especially) Exposure to cloud infrastructure (AWS, GCP, or Azure) Prior experience automating finance, accounting, or operations workflows Interest or experience in lending, payments, or financial services more broadly Exposure to observability tooling and supporting systems in production What you'll be doing Build and ship Python services and features that automate finance and operations workflows- from data ingestion through to the reports, actions, and exceptions that land with business users Take well scoped pieces of work from implementation through testing, deployment, and monitoring, with support from senior engineers on larger designs Participate actively in code review, write meaningful tests, and help uphold the team's engineering standards Work alongside senior engineers and, increasingly, directly with Finance and Operations stakeholders to understand requirements and turn them into reliable systems Grow ownership of the components and services you work on, taking on more of the design and discovery over time Help support business critical systems in production, troubleshooting issues that affect Finance and Operations users (with support as you build up context) Contribute to the team's delivery process sprint planning, sizing, and retrospectives Make pragmatic technical decisions that balance shipping today with maintainability tomorrow What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership Team wellness budget to be active together-set up a yoga class, a tennis lesson or go bouldering
Senior DevOps Engineer
Oxford Dynamics Limited Oxford, Oxfordshire
Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
13/06/2026
Full time
Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
Senior Lead Full-Stack Engineer - Cybersecurity & UI/UX
Job Search Place Limited
Job Search Place Limited is seeking a Senior Lead Full Stack Software Engineer at JPMorgan Chase to lead the design and implementation of scalable technology solutions within Cybersecurity. In this role, you will collaborate with product managers and engineers, mentor junior developers, and ensure code quality while utilizing your extensive experience in technologies such as React.js, Python, and SQL. Join us to create innovative products and contribute to a culture of diversity and inclusion.
13/06/2026
Full time
Job Search Place Limited is seeking a Senior Lead Full Stack Software Engineer at JPMorgan Chase to lead the design and implementation of scalable technology solutions within Cybersecurity. In this role, you will collaborate with product managers and engineers, mentor junior developers, and ensure code quality while utilizing your extensive experience in technologies such as React.js, Python, and SQL. Join us to create innovative products and contribute to a culture of diversity and inclusion.
London Stock Exchange Group
Lead Software Engineer
London Stock Exchange Group
Role Summary Working on the existing WMX platform and building outstanding index/benchmark product capabilities and production processes. Collaborate with product, research, partnerships, governance and policy, sales strategy, operations, marketing, and other teams to create innovative technical solutions for RBSL. Work closely with the product delivery team to align delivery priority/timelines with business and client expectations. Coach and train junior software engineers in the WMX team to grow into SMEs. Role Responsibilities Demonstrates significant knowledge of a single or multiple technologies and advises on design, development and implementation. Advances tools and applications by producing clean and efficient code and reviews others' code when required. Promotes an open and inclusive culture, holds responsibility for motivation, retention and performance management, and leads by example. Demonstrates depth of knowledge and expertise in software development and is regarded as the SME in their domain. Develops knowledge of other domains to understand linkages and dependencies. Understands the tech strategy and culture, and how this impacts own work as well as adjacent teams. Develops an understanding of the market and LSEG's commercial position in it. Leads the delivery of critical projects, coaching team members to be productive with little direction; delegating and reviewing work when required. Works with architects to decompose a solution into Epics. Adapts existing patterns to develop robust solutions. Leads timely design work and planning for Epics breaking them down to journeys with product owners and quality leads. Continues to build and develop strong relationships with senior collaborators (internally and externally), representing LSEG appropriately. Promotes collaboration between and within teams and communicates sophisticated information clearly to all audiences. Continues to develop technology and industry expertise through certifications, professional qualifications and networking events as well as invest in creating development opportunities for the team. Qualifications & Experience Professional qualification or equivalent. In-depth knowledge of at least one popular programming language (Java, C++, Python). Significant experience in a software development and delivery role. Having relevant digital asset experience would be considered a plus. Requires extensive experience in management as well as leading teams. In-depth knowledge of REST APIs, microservices architecture, and AWS cloud platform, with comprehensive understanding of cloud based infrastructure. Familiar with database knowledge, better on Postgres, Oracle. Understanding Design Pattern, UML well. Some experience of Business and Technical Analysis, Quality Assurance, delivery management, and / or Emerging Technology and Governance. Strong problem solving skills. Advocate for and implement automation to streamline operational processes, reduce manual effort, and improve efficiency. Excellent communication and interpersonal skills to foster effective collaboration across functional teams. Equal Opportunity Statement We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.
13/06/2026
Full time
Role Summary Working on the existing WMX platform and building outstanding index/benchmark product capabilities and production processes. Collaborate with product, research, partnerships, governance and policy, sales strategy, operations, marketing, and other teams to create innovative technical solutions for RBSL. Work closely with the product delivery team to align delivery priority/timelines with business and client expectations. Coach and train junior software engineers in the WMX team to grow into SMEs. Role Responsibilities Demonstrates significant knowledge of a single or multiple technologies and advises on design, development and implementation. Advances tools and applications by producing clean and efficient code and reviews others' code when required. Promotes an open and inclusive culture, holds responsibility for motivation, retention and performance management, and leads by example. Demonstrates depth of knowledge and expertise in software development and is regarded as the SME in their domain. Develops knowledge of other domains to understand linkages and dependencies. Understands the tech strategy and culture, and how this impacts own work as well as adjacent teams. Develops an understanding of the market and LSEG's commercial position in it. Leads the delivery of critical projects, coaching team members to be productive with little direction; delegating and reviewing work when required. Works with architects to decompose a solution into Epics. Adapts existing patterns to develop robust solutions. Leads timely design work and planning for Epics breaking them down to journeys with product owners and quality leads. Continues to build and develop strong relationships with senior collaborators (internally and externally), representing LSEG appropriately. Promotes collaboration between and within teams and communicates sophisticated information clearly to all audiences. Continues to develop technology and industry expertise through certifications, professional qualifications and networking events as well as invest in creating development opportunities for the team. Qualifications & Experience Professional qualification or equivalent. In-depth knowledge of at least one popular programming language (Java, C++, Python). Significant experience in a software development and delivery role. Having relevant digital asset experience would be considered a plus. Requires extensive experience in management as well as leading teams. In-depth knowledge of REST APIs, microservices architecture, and AWS cloud platform, with comprehensive understanding of cloud based infrastructure. Familiar with database knowledge, better on Postgres, Oracle. Understanding Design Pattern, UML well. Some experience of Business and Technical Analysis, Quality Assurance, delivery management, and / or Emerging Technology and Governance. Strong problem solving skills. Advocate for and implement automation to streamline operational processes, reduce manual effort, and improve efficiency. Excellent communication and interpersonal skills to foster effective collaboration across functional teams. Equal Opportunity Statement We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.
IC Resources
Senior Edge AI Engineer
IC Resources Cardiff, South Glamorgan
Hybrid working, designing Edge AI and intelligent hardware systems for real-time applications. I'm working with a deep tech company building next generation Edge AI and intelligent hardware platforms. They develop low power intelligent systems designed to run AI directly on hardware for real-time, high-performance applications across advanced electronics and embedded environments. This is a high impact opportunity for an AI Engineer who wants to lead the deployment of AI systems for hardware platforms. What they're looking for: Strong experience in Machine Learning, Edge AI, or Embedded AI Python with PyTorch, TensorFlow, or JAX Experience building, training, deploying, or optimising AI models Understanding of low power, low latency, or constrained hardware environments Interest in embedded systems, intelligent hardware, or FPGA accelerated platforms Experience working with sensor data, time series data, anomaly detection, or real time systems Ability to move from research into deployment Collaborative approach working across software, firmware, and hardware teams FPGA, embedded systems, ONNX/TensorRT, or hardware acceleration exposure (nice to have) Why consider it: Cutting edge Edge AI and hardware projects High autonomy and real technical ownership Strong package including bonus and private healthcare Opportunity to build technology with real world impact
13/06/2026
Full time
Hybrid working, designing Edge AI and intelligent hardware systems for real-time applications. I'm working with a deep tech company building next generation Edge AI and intelligent hardware platforms. They develop low power intelligent systems designed to run AI directly on hardware for real-time, high-performance applications across advanced electronics and embedded environments. This is a high impact opportunity for an AI Engineer who wants to lead the deployment of AI systems for hardware platforms. What they're looking for: Strong experience in Machine Learning, Edge AI, or Embedded AI Python with PyTorch, TensorFlow, or JAX Experience building, training, deploying, or optimising AI models Understanding of low power, low latency, or constrained hardware environments Interest in embedded systems, intelligent hardware, or FPGA accelerated platforms Experience working with sensor data, time series data, anomaly detection, or real time systems Ability to move from research into deployment Collaborative approach working across software, firmware, and hardware teams FPGA, embedded systems, ONNX/TensorRT, or hardware acceleration exposure (nice to have) Why consider it: Cutting edge Edge AI and hardware projects High autonomy and real technical ownership Strong package including bonus and private healthcare Opportunity to build technology with real world impact
Security Engineer
3761 Barclays - BX - UK Knutsford, Cheshire
Purpose of the Role To develop, implement and maintain solutions that support the safeguarding of the bank's systems and sensitive information. Accountabilities / Responsibilities Provision of subject matter expertise on security systems and engineering patterns. Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems. Management and protection of secrets, ensuring they are securely generated, stored, and used. Execution of audits to monitor, identify and assess vulnerabilities in the bank's infrastructure/software and support the response to potential security breaches. Identification of advancements to support innovation and adoption of new cryptographic technologies and techniques. Collaboration across the bank, including developers and security teams, to ensure cryptographic solutions align with business objectives, security policies and regulatory requirements. Development, implementation and maintenance of Identity and Access Management solutions and systems. Building, deploying and maintaining DLP services and policies, driving service level incidents through to remediation, creating and maintaining high quality documentation, engaging with stakeholders to ensure requirements are prioritised and expectations are set, working with other DLP SMEs to ensure adequate service coverage across DLP tooling, evaluating and implementing technical changes and project deliverables, and engaging product vendors where necessary for incident investigation and product enhancements. Expected Contributions / Leadership For senior positions: define strategy, drive requirements, manage resources, budgets and policies, deliver continuous improvements, lead teams, influence operations, demonstrate leading behaviours (Listen, Energise, Align, Develop) and foster an environment for colleagues to thrive. For individual contributors: serve as subject matter expert, guide technical direction, lead collaborative assignments, coach team members and advise stakeholders on risk mitigation and control strengthening. Qualifications and Experience Experience with the software security landscape: CVEs, CWEs, common software vulnerability types; SAST, SCA, DAST. At least one programming language (eg Java, Go). Experience with at least one major cloud provider (AWS, GCP, Azure). REST API design. HTTP authentication. Linux terminal experience, including scripting and automation (shell, Python). Experience with CI/CD. Experience with GraphQL (highly valued). Location This role will be based out of the Knutsford or Glasgow campus.
13/06/2026
Full time
Purpose of the Role To develop, implement and maintain solutions that support the safeguarding of the bank's systems and sensitive information. Accountabilities / Responsibilities Provision of subject matter expertise on security systems and engineering patterns. Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems. Management and protection of secrets, ensuring they are securely generated, stored, and used. Execution of audits to monitor, identify and assess vulnerabilities in the bank's infrastructure/software and support the response to potential security breaches. Identification of advancements to support innovation and adoption of new cryptographic technologies and techniques. Collaboration across the bank, including developers and security teams, to ensure cryptographic solutions align with business objectives, security policies and regulatory requirements. Development, implementation and maintenance of Identity and Access Management solutions and systems. Building, deploying and maintaining DLP services and policies, driving service level incidents through to remediation, creating and maintaining high quality documentation, engaging with stakeholders to ensure requirements are prioritised and expectations are set, working with other DLP SMEs to ensure adequate service coverage across DLP tooling, evaluating and implementing technical changes and project deliverables, and engaging product vendors where necessary for incident investigation and product enhancements. Expected Contributions / Leadership For senior positions: define strategy, drive requirements, manage resources, budgets and policies, deliver continuous improvements, lead teams, influence operations, demonstrate leading behaviours (Listen, Energise, Align, Develop) and foster an environment for colleagues to thrive. For individual contributors: serve as subject matter expert, guide technical direction, lead collaborative assignments, coach team members and advise stakeholders on risk mitigation and control strengthening. Qualifications and Experience Experience with the software security landscape: CVEs, CWEs, common software vulnerability types; SAST, SCA, DAST. At least one programming language (eg Java, Go). Experience with at least one major cloud provider (AWS, GCP, Azure). REST API design. HTTP authentication. Linux terminal experience, including scripting and automation (shell, Python). Experience with CI/CD. Experience with GraphQL (highly valued). Location This role will be based out of the Knutsford or Glasgow campus.

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