About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale up: with its own infrastructure, its own DevOps, and a high autonomy operating model independent from Wayve's core engineering org. The Role We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team. This is a broad, hands on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely, and you'll build the systems and guardrails that make that possible. What You'll Do Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments. Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi tenant Portal environment. Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety. Support and improve Kubernetes based deployment workflows and platform services. Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale. Participate in a support/on call rotation; respond to incidents, support engineers, and contribute to root cause analysis. Apply practical security and networking knowledge to harden the platform and coach application developers on best practices. What We're Looking For Strong hands on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience. Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product level IAM or multi tenancy is highly valuable. Experience building and maintaining CI/CD pipelines. Security and networking fundamentals: you are a hands on builder, not just a reviewer. Experience as part of a support or on call rotation. A strong communicator who can coach and guide application developers, not just build in isolation. A product mindset: you think about the developer experience and build tools that genuinely improve how the team works. High autonomy and ownership: you take responsibility for outcomes in a fast moving team. Nice to Have Experience working with multiple cloud providers or cross cloud IAM across Azure, AWS and/or GCP. Background in developer experience (DX) or internal tooling. Experience in a startup or high growth engineering environment. Security certifications are a plus but not required. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.
28/07/2026
Full time
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale up: with its own infrastructure, its own DevOps, and a high autonomy operating model independent from Wayve's core engineering org. The Role We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team. This is a broad, hands on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely, and you'll build the systems and guardrails that make that possible. What You'll Do Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments. Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi tenant Portal environment. Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety. Support and improve Kubernetes based deployment workflows and platform services. Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale. Participate in a support/on call rotation; respond to incidents, support engineers, and contribute to root cause analysis. Apply practical security and networking knowledge to harden the platform and coach application developers on best practices. What We're Looking For Strong hands on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience. Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product level IAM or multi tenancy is highly valuable. Experience building and maintaining CI/CD pipelines. Security and networking fundamentals: you are a hands on builder, not just a reviewer. Experience as part of a support or on call rotation. A strong communicator who can coach and guide application developers, not just build in isolation. A product mindset: you think about the developer experience and build tools that genuinely improve how the team works. High autonomy and ownership: you take responsibility for outcomes in a fast moving team. Nice to Have Experience working with multiple cloud providers or cross cloud IAM across Azure, AWS and/or GCP. Background in developer experience (DX) or internal tooling. Experience in a startup or high growth engineering environment. Security certifications are a plus but not required. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
28/07/2026
Full time
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Software Development Engineering - Advisor I About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. As a Software Development Engineering - Advisor I, you will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross functional teams to deliver solutions that align with our business goals and client needs. What you'll do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance. Maintain and improve existing codebases and lead peer review processes. Mentor junior developers and provide technical guidance to enhance team capabilities. Responsibilities listed are not intended to be all-inclusive and may be modified as necessary. Senior Java / Full Stack Developer role within a Fintech real time payments engineering team, building solutions for major global banks. Design, develop, and enhance high performance, scalable, real time payment processing systems. End to end ownership across the software development lifecycle, including development, testing, maintenance, and production support. Strong backend expertise in Java 11+ (17/21 preferred), Spring, Spring Boot, and microservices architecture. Reactive and event driven programming using Akka, Kafka, JMS, RabbitMQ, ActiveMQ, with high throughput and low latency requirements. Hands on full stack development, including modern frontend technologies such as Angular, React, JavaScript, and Node.js. Experience building and consuming RESTful / web services, integrating UI layers with backend services. Strong database skills with SQL and relational databases (DB2, Sybase) and exposure to NoSQL (MongoDB). Cloud and DevOps experience using AWS, Docker, Kubernetes, CI/CD pipelines (Jenkins, Sonar), and automated testing tools. Agile, engineering driven culture emphasizing TDD/BDD, Scrum, collaboration, with financial services or payments domain experience as a plus. Experience you'll need to have: 4+ years of experience in software development. 2+ years of experience in Java, C, C#, C++, or similar programming languages. 2+ years of experience in SQL databases. 2+ years of experience in AWS, Azure, or GCP services. 2+ years of experience with CI/CD pipelines and DevOps practices. 2+ years of experience with Agile methodologies. 4+ years of an equivalent combination of educational background, related experience, and/or military experience. Experience that would be great to have: Experience in the financial services industry. Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
27/07/2026
Full time
Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Software Development Engineering - Advisor I About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. As a Software Development Engineering - Advisor I, you will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross functional teams to deliver solutions that align with our business goals and client needs. What you'll do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance. Maintain and improve existing codebases and lead peer review processes. Mentor junior developers and provide technical guidance to enhance team capabilities. Responsibilities listed are not intended to be all-inclusive and may be modified as necessary. Senior Java / Full Stack Developer role within a Fintech real time payments engineering team, building solutions for major global banks. Design, develop, and enhance high performance, scalable, real time payment processing systems. End to end ownership across the software development lifecycle, including development, testing, maintenance, and production support. Strong backend expertise in Java 11+ (17/21 preferred), Spring, Spring Boot, and microservices architecture. Reactive and event driven programming using Akka, Kafka, JMS, RabbitMQ, ActiveMQ, with high throughput and low latency requirements. Hands on full stack development, including modern frontend technologies such as Angular, React, JavaScript, and Node.js. Experience building and consuming RESTful / web services, integrating UI layers with backend services. Strong database skills with SQL and relational databases (DB2, Sybase) and exposure to NoSQL (MongoDB). Cloud and DevOps experience using AWS, Docker, Kubernetes, CI/CD pipelines (Jenkins, Sonar), and automated testing tools. Agile, engineering driven culture emphasizing TDD/BDD, Scrum, collaboration, with financial services or payments domain experience as a plus. Experience you'll need to have: 4+ years of experience in software development. 2+ years of experience in Java, C, C#, C++, or similar programming languages. 2+ years of experience in SQL databases. 2+ years of experience in AWS, Azure, or GCP services. 2+ years of experience with CI/CD pipelines and DevOps practices. 2+ years of experience with Agile methodologies. 4+ years of an equivalent combination of educational background, related experience, and/or military experience. Experience that would be great to have: Experience in the financial services industry. Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary This is a full time role based in Edinburgh, Bristol, Leeds or Manchester Job Description JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this Opportunity As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers. About the Role We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale. What You'll Be Doing Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling. Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need A foundational understanding of technology, data or security concepts. Interest in security monitoring, logging or compliance. A willingness to learn about data pipelines, automation and modern engineering approaches. Strong problem-solving skills and a structured approach to learning. Good communication skills and the ability to work collaboratively within a team. Exposure to scripting or programming (e.g. Python, SQL or similar). Desirable Skills & Experience Awareness of cloud platforms (e.g. AWS, Azure, GCP). At least 1 years' experience of working with security concepts or regulatory monitoring controls. Exposure to Agile or collaborative ways of working. Interest in how automation and AI can be applied to improve security and compliance. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 24 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Organizational background At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Flexible Working Options For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
27/07/2026
Full time
End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary This is a full time role based in Edinburgh, Bristol, Leeds or Manchester Job Description JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this Opportunity As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers. About the Role We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale. What You'll Be Doing Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling. Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need A foundational understanding of technology, data or security concepts. Interest in security monitoring, logging or compliance. A willingness to learn about data pipelines, automation and modern engineering approaches. Strong problem-solving skills and a structured approach to learning. Good communication skills and the ability to work collaboratively within a team. Exposure to scripting or programming (e.g. Python, SQL or similar). Desirable Skills & Experience Awareness of cloud platforms (e.g. AWS, Azure, GCP). At least 1 years' experience of working with security concepts or regulatory monitoring controls. Exposure to Agile or collaborative ways of working. Interest in how automation and AI can be applied to improve security and compliance. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 24 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Organizational background At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Flexible Working Options For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Senior Software Development Engineer in Test (Compliance) Belfast About Symphony is an AI-powered communication and technology company fueled by interconnected platforms: messaging, voice, directory and analytics. Our end-to-end encrypted technologies enable over 1,400 institutions to accelerate AI impact, prioritize data security, navigate complex regulatory compliance and optimize business interactions. Role Description We are looking for a highly skilled and motivated Senior SDET, Compliance to play a critical role in ensuring the quality, security, and regulatory reliability of Symphony's compliance-driven solutions across both backend and frontend systems. At Symphony, compliance is foundational. It means operating under strict regulatory, security, and data-governance requirements for financial institutions and other regulated industries. This includes secure call records, robust encryption, strict access controls, comprehensive audit logging, data-privacy protections (e.g. GDPR, CCPA), and adherence to industry certifications and audit standards. This is a hands-on technical leadership role. You will design and build automated compliance validation frameworks, define and evolve compliance testing strategies, and integrate quality deeply into our development lifecycle. You'll work closely with engineering, product, and security teams to ensure compliance is not an afterthought, but a built-in capability of our platform. If you are passionate about quality engineering, automation, and building trust in mission-critical systems, we'd love to hear from you. Responsibilities Own and drive compliance quality initiatives across backend and frontend systems. Design, build, and maintain automated test frameworks focused on compliance validation. Define, evolve, and execute the next generation Compliance Test Strategy. Perform white-box testing to validate regulatory, security, and data-governance requirements. Embed shift-left testing practices, working closely with developers early in the SDLC. Validate compliance behavior across Cloud (AWS/GCP), Kubernetes, and Windows 10/11 environments. Identify, debug, and resolve compliance-related quality and risk issues. Mentor other SDETs and act as a quality leader and compliance advocate within engineering teams. Continuously improve compliance testing processes, tooling, and quality metrics. Required Qualifications Technical Skills Strong programming skills in C# and Python. Proven experience designing and maintaining test automation frameworks. Hands-on experience with compliance testing (e.g. data retention, auditability, regulatory validation). Strong background in white-box testing of APIs, services, and system internals. Solid understanding of cloud platforms (AWS/GCP) and containerized environments (Kubernetes). Experience working with CI/CD pipelines, Git, and modern testing tools. Familiarity with Windows 10/11 environments. Strong understanding of software development practices and modern testing methodologies. Soft Skills Proven ability to lead and influence compliance-focused quality initiatives. Excellent communication and collaboration skills across engineering, product, and security teams. Strong analytical mindset with attention to detail and risk awareness. Comfortable working in a fast-paced, cross-functional environment. Proactive, self-driven, and deeply invested in quality and regulatory excellence. Education & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience. 5+ years of experience in QA or SDET roles, with a strong focus on compliance and quality. 2+ years in a senior or lead role, driving quality or compliance initiatives at scale. Why This Role Matters You will help ensure that Symphony's platform remains trusted by the world's largest financial institutions, enabling secure, compliant communication in the most demanding regulatory environments. Compensation Salary Range: £42,000-60,000 base salary per year Bonus Plan Benefits and Perks Regional specific competitive benefits Build your own Benefits (BYOB) perk Local events, team building, and development opportunities We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
27/07/2026
Full time
Senior Software Development Engineer in Test (Compliance) Belfast About Symphony is an AI-powered communication and technology company fueled by interconnected platforms: messaging, voice, directory and analytics. Our end-to-end encrypted technologies enable over 1,400 institutions to accelerate AI impact, prioritize data security, navigate complex regulatory compliance and optimize business interactions. Role Description We are looking for a highly skilled and motivated Senior SDET, Compliance to play a critical role in ensuring the quality, security, and regulatory reliability of Symphony's compliance-driven solutions across both backend and frontend systems. At Symphony, compliance is foundational. It means operating under strict regulatory, security, and data-governance requirements for financial institutions and other regulated industries. This includes secure call records, robust encryption, strict access controls, comprehensive audit logging, data-privacy protections (e.g. GDPR, CCPA), and adherence to industry certifications and audit standards. This is a hands-on technical leadership role. You will design and build automated compliance validation frameworks, define and evolve compliance testing strategies, and integrate quality deeply into our development lifecycle. You'll work closely with engineering, product, and security teams to ensure compliance is not an afterthought, but a built-in capability of our platform. If you are passionate about quality engineering, automation, and building trust in mission-critical systems, we'd love to hear from you. Responsibilities Own and drive compliance quality initiatives across backend and frontend systems. Design, build, and maintain automated test frameworks focused on compliance validation. Define, evolve, and execute the next generation Compliance Test Strategy. Perform white-box testing to validate regulatory, security, and data-governance requirements. Embed shift-left testing practices, working closely with developers early in the SDLC. Validate compliance behavior across Cloud (AWS/GCP), Kubernetes, and Windows 10/11 environments. Identify, debug, and resolve compliance-related quality and risk issues. Mentor other SDETs and act as a quality leader and compliance advocate within engineering teams. Continuously improve compliance testing processes, tooling, and quality metrics. Required Qualifications Technical Skills Strong programming skills in C# and Python. Proven experience designing and maintaining test automation frameworks. Hands-on experience with compliance testing (e.g. data retention, auditability, regulatory validation). Strong background in white-box testing of APIs, services, and system internals. Solid understanding of cloud platforms (AWS/GCP) and containerized environments (Kubernetes). Experience working with CI/CD pipelines, Git, and modern testing tools. Familiarity with Windows 10/11 environments. Strong understanding of software development practices and modern testing methodologies. Soft Skills Proven ability to lead and influence compliance-focused quality initiatives. Excellent communication and collaboration skills across engineering, product, and security teams. Strong analytical mindset with attention to detail and risk awareness. Comfortable working in a fast-paced, cross-functional environment. Proactive, self-driven, and deeply invested in quality and regulatory excellence. Education & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience. 5+ years of experience in QA or SDET roles, with a strong focus on compliance and quality. 2+ years in a senior or lead role, driving quality or compliance initiatives at scale. Why This Role Matters You will help ensure that Symphony's platform remains trusted by the world's largest financial institutions, enabling secure, compliant communication in the most demanding regulatory environments. Compensation Salary Range: £42,000-60,000 base salary per year Bonus Plan Benefits and Perks Regional specific competitive benefits Build your own Benefits (BYOB) perk Local events, team building, and development opportunities We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
27/07/2026
Full time
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
27/07/2026
Full time
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
27/07/2026
Full time
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
27/07/2026
Full time
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
Sr. Software Engineer, Cloud (Hybrid, London)Applylocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: R29015As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you.We are seeking a Senior Software Engineer, Cloud to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform - enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale.You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows - helping them respond faster to emerging threats. While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you. What You'll do: Own the engineering bar . Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last - not just for today's scale, but for what's next Lead system design and architecture decisions, including design reviews and RFC processes Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability Operate with a high degree of autonomy - you'll be trusted to make decisions and drive outcomes What You'll Need: A collaborative team player who lifts those around them (We believe in: One team. One fight !) 8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C# Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus points: Currently developing Go-based microservices for scalable, high-throughput architectures Experience in cybersecurity, SIEM, SOAR, or adjacent security domains Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work CertifiedTM across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
27/07/2026
Full time
Sr. Software Engineer, Cloud (Hybrid, London)Applylocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: R29015As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you.We are seeking a Senior Software Engineer, Cloud to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform - enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale.You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows - helping them respond faster to emerging threats. While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you. What You'll do: Own the engineering bar . Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last - not just for today's scale, but for what's next Lead system design and architecture decisions, including design reviews and RFC processes Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability Operate with a high degree of autonomy - you'll be trusted to make decisions and drive outcomes What You'll Need: A collaborative team player who lifts those around them (We believe in: One team. One fight !) 8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C# Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus points: Currently developing Go-based microservices for scalable, high-throughput architectures Experience in cybersecurity, SIEM, SOAR, or adjacent security domains Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work CertifiedTM across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
27/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
27/07/2026
Full time
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Job Details End Date Wednesday 05 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share JOB TITLE: Senior DevOps Engineer PAY RANGE: £72,702 - £80,780 LOCATION: Newport and Cardiff HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Newport or Cardiff office sites. What you'll be doing Are you ready to join our Transport Platform team and help shape the next phase of our transformation? Part of the Consumer Lending Business Unit, our mission is to keep Britain moving by delivering customer-focused solutions for vehicle access, maintenance and digital account management, while supporting the UK's sustainability agenda. We're transforming our core technology through modern, cloud-native architecture, microservices and a new data ecosystem, alongside embedding DevOps and Agile ways of working to increase team autonomy and impact. As a Senior DevOps Engineer, you'll work within a feature team to design, build and integrate software, partnering with Engineering Leads, Product Owners and Quality Engineers to deliver high-quality outcomes. This is a hands on role, focused on developing and supporting production grade code, with an emphasis on scalable, reusable solutions. You'll also ensure enterprise level controls such as parallelism, resilience and cost optimisation across the services you build and operate. Feel motivated by the opportunity to make a lasting positive impact Contribute to the delivery of secure, scalable, and high quality DevOps capabilities across cloud native platforms. You'll work closely with colleagues to drive outcomes and support team autonomy. Design, build, and operate CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. You'll help teams across the platform deploy confidently and independently. Engineer Kubernetes native solutions across Public and Private Cloud environments, including workload orchestration, Istio based networking, and storage class management. You'll play a key role in ensuring platform resilience and scalability. Embed security and compliance into automated workflows by integrating tools such as SonarQube and AquaSec. You'll contribute to strong guardrails and quality first engineering practices. Automate manual processes and supporting the development of self service capabilities across teams. You'll promote an automation first approach and reduce operational overhead through robust pipeline and platform engineering. Work effectively with a range of collaborators across complex platforms, communicating clearly with both technical and non technical audiences. Contribute to team planning and supporting the evolution of DevOps capabilities to meet future business needs. Help to foster a culture of enablement, where DevOps capabilities are federated and teams can own and operate their delivery pipelines. Share knowledge and collaborate within Communities of Practice, supporting continuous improvement through hands on learning and experimentation. Why join us We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for Experience delivering secure, scalable, and high quality DevOps capabilities on cloud native platforms as part of a multi functional engineering team. Experience designing, building, and maintaining CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. Background in Engineering Kubernetes native solutions in GCP environments, covering workload orchestration, Istio based networking, and storage class management. Experience working with GCP platform services, including databases such as Spanner, BigQuery, and AlloyDB/CloudSQL, as well as GCS buckets and IAM permissions and controls. Experience Integrating security and quality tools such as SonarQube and AquaSec into automated pipelines to ensure compliance and maintain strong guardrails. Background in automating manual processes to improve efficiency and enable self service capabilities, applying an automation first approach. Experience working with multiple collaborators across complex platforms and communicating effectively across technical and non technical groups. Experience with Liquibase for database schema management and familiarity with Nexus Repository for artefact management (advantageous). Exposure to observability platforms such as Dynatrace (advantageous). Experience supporting teams in investigating issues and contributing to remediation plans as part of root cause analysis after high impact incidents (desirable). We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long term health or neuro divergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
26/07/2026
Full time
Job Details End Date Wednesday 05 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share JOB TITLE: Senior DevOps Engineer PAY RANGE: £72,702 - £80,780 LOCATION: Newport and Cardiff HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Newport or Cardiff office sites. What you'll be doing Are you ready to join our Transport Platform team and help shape the next phase of our transformation? Part of the Consumer Lending Business Unit, our mission is to keep Britain moving by delivering customer-focused solutions for vehicle access, maintenance and digital account management, while supporting the UK's sustainability agenda. We're transforming our core technology through modern, cloud-native architecture, microservices and a new data ecosystem, alongside embedding DevOps and Agile ways of working to increase team autonomy and impact. As a Senior DevOps Engineer, you'll work within a feature team to design, build and integrate software, partnering with Engineering Leads, Product Owners and Quality Engineers to deliver high-quality outcomes. This is a hands on role, focused on developing and supporting production grade code, with an emphasis on scalable, reusable solutions. You'll also ensure enterprise level controls such as parallelism, resilience and cost optimisation across the services you build and operate. Feel motivated by the opportunity to make a lasting positive impact Contribute to the delivery of secure, scalable, and high quality DevOps capabilities across cloud native platforms. You'll work closely with colleagues to drive outcomes and support team autonomy. Design, build, and operate CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. You'll help teams across the platform deploy confidently and independently. Engineer Kubernetes native solutions across Public and Private Cloud environments, including workload orchestration, Istio based networking, and storage class management. You'll play a key role in ensuring platform resilience and scalability. Embed security and compliance into automated workflows by integrating tools such as SonarQube and AquaSec. You'll contribute to strong guardrails and quality first engineering practices. Automate manual processes and supporting the development of self service capabilities across teams. You'll promote an automation first approach and reduce operational overhead through robust pipeline and platform engineering. Work effectively with a range of collaborators across complex platforms, communicating clearly with both technical and non technical audiences. Contribute to team planning and supporting the evolution of DevOps capabilities to meet future business needs. Help to foster a culture of enablement, where DevOps capabilities are federated and teams can own and operate their delivery pipelines. Share knowledge and collaborate within Communities of Practice, supporting continuous improvement through hands on learning and experimentation. Why join us We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for Experience delivering secure, scalable, and high quality DevOps capabilities on cloud native platforms as part of a multi functional engineering team. Experience designing, building, and maintaining CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. Background in Engineering Kubernetes native solutions in GCP environments, covering workload orchestration, Istio based networking, and storage class management. Experience working with GCP platform services, including databases such as Spanner, BigQuery, and AlloyDB/CloudSQL, as well as GCS buckets and IAM permissions and controls. Experience Integrating security and quality tools such as SonarQube and AquaSec into automated pipelines to ensure compliance and maintain strong guardrails. Background in automating manual processes to improve efficiency and enable self service capabilities, applying an automation first approach. Experience working with multiple collaborators across complex platforms and communicating effectively across technical and non technical groups. Experience with Liquibase for database schema management and familiarity with Nexus Repository for artefact management (advantageous). Exposure to observability platforms such as Dynatrace (advantageous). Experience supporting teams in investigating issues and contributing to remediation plans as part of root cause analysis after high impact incidents (desirable). We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long term health or neuro divergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
26/07/2026
Full time
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
Why join us We're a 150+ year-old business that operates on an incredible scale. There's data from our 10 million+ Nectar users, days like Black Friday that make Argos the 3rd biggest website in the UK, and supply chain integration that gets the right products to the right locations on time, every time. The technology we use is modern, scalable and constantly evolving, whether we're in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event-based solutions. This is where you can broaden your technical knowledge and help solve complex problems while using your Agile skills to develop our long-lived teams.As a Staff Engineer, you'll help us bring together those complex horizontal outcomes that go beyond a single team and area, working with engineers and 3rd parties to deliver high quality and well-designed solutions. What you'll be doing Work with the Head of Engineering and Engineering Managers to shape technical priorities and reduce ambiguity, acting as a technical backbone to ensure balanced decisions across architecture, delivery, service and cost. Lead design reviews for complex data solutions, ensuring decisions are secure, scalable, cost-conscious, observable and aligned to platform standards. Create and evolve reusable engineering patterns for ingestion, transformation, orchestration, data quality, reconciliation, testing, monitoring, alerting and access control. Coach engineers and senior engineers through pairing, design critique, code review, incident learning, technical storytelling and pragmatic problem solving. Act as a bridge between engineering, product, architecture, data governance, security, BI Hub, Data & Analytics, and strategic partners so that outcomes are technically coherent and commercially sensible. Support the Definition of Ready process by helping teams clarify technical feasibility, dependencies, risks, data requirements, non functional requirements and route to build evidence before quarterly planning commitments are made. Stay close to delivery where your expertise makes the biggest difference: critical migrations, platform adoption, data quality improvements, incident prevention, supplier/service issues or strategically important customer data capabilities. Key Responsibilities: Design and implement end-to-end data solutions that align with business objectives while adhering to best practices in data management and database performance. Define and communicate technical direction across multiple squads. Challenge local decisions where they create unnecessary complexity, risk, duplicated capability or long term support burden. Raise the quality bar for data products through clear ownership, robust testing, reconciliation, observability, lineage, documentation, performance and supportability. Collaborate with cross functional teams to address security, GDPR, PII handling, role based access, auditability and data governance are designed in from the start, not added later. Champion Sainsbury's engineering standards, aligned autonomy and community practice; turn standards into practical patterns teams can adopt, improving resilience through monitoring, alerting, support runbooks, incident learning, data quality checks, cost controls and proactive simplification. More about you: Strong practical experience designing and operating modern data platforms, pipelines and services across batch, streaming and event driven patterns. Deep understanding of engineering practice: clean design, testing strategy, CI/CD, infrastructure as code, observability, performance, security, incident response and DevSecOps. Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role based access, privacy, GDPR/PII handling and data governance controls. Ability to reason about trade offs across cost, performance, resilience, supportability, delivery risk and strategic fit. Awareness of retail and customer data trends, including personalisation, customer identity, data products, BI modernisation, AI enabled insight and responsible data use. You can influence without authority and bring people with you, even when priorities differ across squads, products, architecture and partners. You can make technical decisions easier for others by framing the options, evidence, risks and recommended path in plain English. You raise standards without becoming a blocker; you know when to insist on the right pattern and when to make a pragmatic trade off safely. You care about delivery and service, not just design. You follow through from idea to production, support, measurement and continuous improvement. You coach with care and directness, helping engineers build confidence and judgement rather than simply giving them answers. You are curious about the wider technology landscape and can connect external engineering trends to Sainsbury's scale and customer context. What you could do in future There's a lot of scope for widening your skills in this role, because it allows you to move into different areas, cover lots of ground and really broaden your understanding of how the business works. When you want to take the next step up, a Principal Engineer role would help you build on everything that you've already learned and achieved. Your technical understanding will still be in play, but it'll be as much about looking upwards and outwards - thinking about strategy and where we should be going and solving problems right across the technicalorganisation. In return You'll enjoy all this and more: Flexible working - tailored approach to balance your working from home and collaboration in the office, sensible freedom to shape your week and day working hours, offices in different locations Colleague discount acrossourbrands - Sainsbury's, Argos and Habitat Health cover Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more
26/07/2026
Full time
Why join us We're a 150+ year-old business that operates on an incredible scale. There's data from our 10 million+ Nectar users, days like Black Friday that make Argos the 3rd biggest website in the UK, and supply chain integration that gets the right products to the right locations on time, every time. The technology we use is modern, scalable and constantly evolving, whether we're in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event-based solutions. This is where you can broaden your technical knowledge and help solve complex problems while using your Agile skills to develop our long-lived teams.As a Staff Engineer, you'll help us bring together those complex horizontal outcomes that go beyond a single team and area, working with engineers and 3rd parties to deliver high quality and well-designed solutions. What you'll be doing Work with the Head of Engineering and Engineering Managers to shape technical priorities and reduce ambiguity, acting as a technical backbone to ensure balanced decisions across architecture, delivery, service and cost. Lead design reviews for complex data solutions, ensuring decisions are secure, scalable, cost-conscious, observable and aligned to platform standards. Create and evolve reusable engineering patterns for ingestion, transformation, orchestration, data quality, reconciliation, testing, monitoring, alerting and access control. Coach engineers and senior engineers through pairing, design critique, code review, incident learning, technical storytelling and pragmatic problem solving. Act as a bridge between engineering, product, architecture, data governance, security, BI Hub, Data & Analytics, and strategic partners so that outcomes are technically coherent and commercially sensible. Support the Definition of Ready process by helping teams clarify technical feasibility, dependencies, risks, data requirements, non functional requirements and route to build evidence before quarterly planning commitments are made. Stay close to delivery where your expertise makes the biggest difference: critical migrations, platform adoption, data quality improvements, incident prevention, supplier/service issues or strategically important customer data capabilities. Key Responsibilities: Design and implement end-to-end data solutions that align with business objectives while adhering to best practices in data management and database performance. Define and communicate technical direction across multiple squads. Challenge local decisions where they create unnecessary complexity, risk, duplicated capability or long term support burden. Raise the quality bar for data products through clear ownership, robust testing, reconciliation, observability, lineage, documentation, performance and supportability. Collaborate with cross functional teams to address security, GDPR, PII handling, role based access, auditability and data governance are designed in from the start, not added later. Champion Sainsbury's engineering standards, aligned autonomy and community practice; turn standards into practical patterns teams can adopt, improving resilience through monitoring, alerting, support runbooks, incident learning, data quality checks, cost controls and proactive simplification. More about you: Strong practical experience designing and operating modern data platforms, pipelines and services across batch, streaming and event driven patterns. Deep understanding of engineering practice: clean design, testing strategy, CI/CD, infrastructure as code, observability, performance, security, incident response and DevSecOps. Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role based access, privacy, GDPR/PII handling and data governance controls. Ability to reason about trade offs across cost, performance, resilience, supportability, delivery risk and strategic fit. Awareness of retail and customer data trends, including personalisation, customer identity, data products, BI modernisation, AI enabled insight and responsible data use. You can influence without authority and bring people with you, even when priorities differ across squads, products, architecture and partners. You can make technical decisions easier for others by framing the options, evidence, risks and recommended path in plain English. You raise standards without becoming a blocker; you know when to insist on the right pattern and when to make a pragmatic trade off safely. You care about delivery and service, not just design. You follow through from idea to production, support, measurement and continuous improvement. You coach with care and directness, helping engineers build confidence and judgement rather than simply giving them answers. You are curious about the wider technology landscape and can connect external engineering trends to Sainsbury's scale and customer context. What you could do in future There's a lot of scope for widening your skills in this role, because it allows you to move into different areas, cover lots of ground and really broaden your understanding of how the business works. When you want to take the next step up, a Principal Engineer role would help you build on everything that you've already learned and achieved. Your technical understanding will still be in play, but it'll be as much about looking upwards and outwards - thinking about strategy and where we should be going and solving problems right across the technicalorganisation. In return You'll enjoy all this and more: Flexible working - tailored approach to balance your working from home and collaboration in the office, sensible freedom to shape your week and day working hours, offices in different locations Colleague discount acrossourbrands - Sainsbury's, Argos and Habitat Health cover Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services. This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript. You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability. Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement. You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad. build services and APIs that are reliable, reusable and easy for others to consume. improve the reliability, performance and operability of the services you work on. use emerging engineering tools thoughtfully and responsibly where they add value. contribute constructively to technical decisions, API standards and code reviews. help the team release software safely and efficiently. and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers. The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status. Our promises What we do: we deliver real impact, quickly. Technology is at the heart of what we do, and your expertise is how we deliver real impact, quickly. What you'll do: you're constantly learning and growing Our breadth of capabilities means you'll have an outstanding network of people to call on to help you achieve more. How we work: we trust in you You'll be respected for the work you're doing, and trusted to work independently. What we believe in: we can make the world better We believe that technology can make a positive difference to society, and you'll be proud of the kind of projects we make possible. Where we're going: you can shape our future Zuhlke is at a scale where your expertise can be recognized and valued, and you'll be able to have a significant impact on how we work. Take a look at our life at Zühlke page to learn more about our culture and what it's like to work at Zühlke. Our podcast series explores some of our own colleagues personal experiences working in Software & Hardware Engineering, Data & AI, UX, Cloud, Digital Consulting and beyond. In each episode you'll get top tips on navigating challenges like: how to become an expert communicator in tech and innovation projects. How to get accessibility right, and how to practically contribute to sustainability. Subscribe here Our cross-functional teams are located in ten countries, from Europe to Asia, and they collaborate globally. Learn more about our various teams here at Zühlke and how, using the latest technologies, we create new services, products and business models for our clients.
26/07/2026
Full time
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services. This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript. You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability. Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement. You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad. build services and APIs that are reliable, reusable and easy for others to consume. improve the reliability, performance and operability of the services you work on. use emerging engineering tools thoughtfully and responsibly where they add value. contribute constructively to technical decisions, API standards and code reviews. help the team release software safely and efficiently. and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers. The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status. Our promises What we do: we deliver real impact, quickly. Technology is at the heart of what we do, and your expertise is how we deliver real impact, quickly. What you'll do: you're constantly learning and growing Our breadth of capabilities means you'll have an outstanding network of people to call on to help you achieve more. How we work: we trust in you You'll be respected for the work you're doing, and trusted to work independently. What we believe in: we can make the world better We believe that technology can make a positive difference to society, and you'll be proud of the kind of projects we make possible. Where we're going: you can shape our future Zuhlke is at a scale where your expertise can be recognized and valued, and you'll be able to have a significant impact on how we work. Take a look at our life at Zühlke page to learn more about our culture and what it's like to work at Zühlke. Our podcast series explores some of our own colleagues personal experiences working in Software & Hardware Engineering, Data & AI, UX, Cloud, Digital Consulting and beyond. In each episode you'll get top tips on navigating challenges like: how to become an expert communicator in tech and innovation projects. How to get accessibility right, and how to practically contribute to sustainability. Subscribe here Our cross-functional teams are located in ten countries, from Europe to Asia, and they collaborate globally. Learn more about our various teams here at Zühlke and how, using the latest technologies, we create new services, products and business models for our clients.
Job Title: AI Technical Lead - IT Location: SPAIN / UK - Harrogate / Remote WHO WE ARE Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company's Professional Services Automation (PSA), Customer Success, and ERP solutions delivered on Salesforce's leading cloud platform, provide services businesses with the intelligence and agility to deliver high-quality services, elevate customer experiences and accelerate growth. Headquartered in Austin Texas, with offices around the world, Certinia is backed by Haveli Investments, General Atlantic and Salesforce Ventures. For more information, visit . THE ROLE Reporting to the Senior Director, Global IT, you are the AI technical lead within the IT Team for Certinia's internal AI transformation. You will work hand-in-hand with an AI Business Analyst to identify high-impact enterprise processes and automate them using robust AI technologies. This is an execution-focused role: you will utilise existing, best-in-class AI tools to build scalable solutions that drive organisational acceleration and measurable ROI. WHAT YOU WILL DO IN THIS ROLE Lead Technical Execution: Act as the primary builder for Certinia's internal AI transformation. Turn high-level process goals into functioning, automated realities. Work Autonomously: Operate with a high degree of independence. You are responsible for taking a concept from the requirements phase through to a live, measurable result with minimal supervision. Drive Process Transformation: Execute top-down process improvements by integrating AI into enterprise-grade workflows to accelerate organisational adoption. Partner with the AI Business Analyst: Work hand-in-hand with the Analyst to validate technical feasibility and deploy solutions that meet the ROI and TTV objectives. Utilise Existing AI Technology: Hands-on configuration and deployment of established AI tools (e.g., Salesforce, Gemini, GCP, Claude, AWS) to solve immediate business challenges. Accelerate Time-to-Value (TTV): Focus on rapid implementation and scaling of solutions. Move quickly from identification to a live, production-ready state. Build Robust Automations: Ensure all AI-driven processes are backed by enterprise-grade technology, robust data pipelines, and reliable API integrations. Report on Service Health: Provide the Senior Director, Global IT with data-driven insights into the performance, health, and ROI of deployed AI services. Maximise Investment: Identify and unlock underutilised AI capabilities within the current technology stack to eliminate manual overhead and operational friction. Adopt AI Guardrails: Collaborate with the Security team to ensure all internal AI implementations remain compliant with InfoSec pillars and data privacy standards. WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership for requirements gathering and delivering high-impact technical demonstrations. Process Transformation Mindset: Deep understanding of enterprise-grade business processes and how to apply AI to accelerate ROI and shorten Time-to-Value (TTV). Framework Awareness: Familiarity with SOC 2 and ISO 27001 standards, with a focus on ensuring AI implementations align with ISO 42001 (AI Management System) readiness. Hands-on Cloud Expertise: Direct experience implementing and securing solutions within major cloud and SaaS environments, specifically AWS, GCP and Salesforce. Robust Engineering Standards: Proficient in building reliable data pipelines and API integrations that ensure AI outputs are accurate and enterprise-ready. Composure Under Pressure: Proven ability to lead technical deployments through high-pressure phases, such as rapid scale-ups or critical process migrations, with clarity. Cross-Functional Partnership: Strong ability to work in a "pod" structure with an AI Business Analyst, providing the technical "how" to meet high-level business "whats.". Technical Storytelling: Strong ability to translate technical AI constraints and successes into clear business language. Problem Solving: Proficient in analysing legacy process bottlenecks and solving them using industry-best AI practices and existing technology stacks. WHAT ELSE WOULD BE GREAT AI Tooling: Experience with AI orchestration layers. Prompt Engineering: Skill in refining LLM outputs for high-accuracy enterprise tasks. Agile Delivery: Experience in "Sprint" environments where speed and ROI are the primary measures of success.
26/07/2026
Full time
Job Title: AI Technical Lead - IT Location: SPAIN / UK - Harrogate / Remote WHO WE ARE Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company's Professional Services Automation (PSA), Customer Success, and ERP solutions delivered on Salesforce's leading cloud platform, provide services businesses with the intelligence and agility to deliver high-quality services, elevate customer experiences and accelerate growth. Headquartered in Austin Texas, with offices around the world, Certinia is backed by Haveli Investments, General Atlantic and Salesforce Ventures. For more information, visit . THE ROLE Reporting to the Senior Director, Global IT, you are the AI technical lead within the IT Team for Certinia's internal AI transformation. You will work hand-in-hand with an AI Business Analyst to identify high-impact enterprise processes and automate them using robust AI technologies. This is an execution-focused role: you will utilise existing, best-in-class AI tools to build scalable solutions that drive organisational acceleration and measurable ROI. WHAT YOU WILL DO IN THIS ROLE Lead Technical Execution: Act as the primary builder for Certinia's internal AI transformation. Turn high-level process goals into functioning, automated realities. Work Autonomously: Operate with a high degree of independence. You are responsible for taking a concept from the requirements phase through to a live, measurable result with minimal supervision. Drive Process Transformation: Execute top-down process improvements by integrating AI into enterprise-grade workflows to accelerate organisational adoption. Partner with the AI Business Analyst: Work hand-in-hand with the Analyst to validate technical feasibility and deploy solutions that meet the ROI and TTV objectives. Utilise Existing AI Technology: Hands-on configuration and deployment of established AI tools (e.g., Salesforce, Gemini, GCP, Claude, AWS) to solve immediate business challenges. Accelerate Time-to-Value (TTV): Focus on rapid implementation and scaling of solutions. Move quickly from identification to a live, production-ready state. Build Robust Automations: Ensure all AI-driven processes are backed by enterprise-grade technology, robust data pipelines, and reliable API integrations. Report on Service Health: Provide the Senior Director, Global IT with data-driven insights into the performance, health, and ROI of deployed AI services. Maximise Investment: Identify and unlock underutilised AI capabilities within the current technology stack to eliminate manual overhead and operational friction. Adopt AI Guardrails: Collaborate with the Security team to ensure all internal AI implementations remain compliant with InfoSec pillars and data privacy standards. WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership for requirements gathering and delivering high-impact technical demonstrations. Process Transformation Mindset: Deep understanding of enterprise-grade business processes and how to apply AI to accelerate ROI and shorten Time-to-Value (TTV). Framework Awareness: Familiarity with SOC 2 and ISO 27001 standards, with a focus on ensuring AI implementations align with ISO 42001 (AI Management System) readiness. Hands-on Cloud Expertise: Direct experience implementing and securing solutions within major cloud and SaaS environments, specifically AWS, GCP and Salesforce. Robust Engineering Standards: Proficient in building reliable data pipelines and API integrations that ensure AI outputs are accurate and enterprise-ready. Composure Under Pressure: Proven ability to lead technical deployments through high-pressure phases, such as rapid scale-ups or critical process migrations, with clarity. Cross-Functional Partnership: Strong ability to work in a "pod" structure with an AI Business Analyst, providing the technical "how" to meet high-level business "whats.". Technical Storytelling: Strong ability to translate technical AI constraints and successes into clear business language. Problem Solving: Proficient in analysing legacy process bottlenecks and solving them using industry-best AI practices and existing technology stacks. WHAT ELSE WOULD BE GREAT AI Tooling: Experience with AI orchestration layers. Prompt Engineering: Skill in refining LLM outputs for high-accuracy enterprise tasks. Agile Delivery: Experience in "Sprint" environments where speed and ROI are the primary measures of success.
FunctionCloud & Data EngineeringOur CompanyWe're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.Job descriptionMandatory Skills:Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management.Role Description Skills:ROLE PURPOSELead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving.KEY RESPONSIBILITIESDefine and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysisDesign and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilitiesLead automated incident management: detection, triage, escalation, remediation, and post-incident review automationDrive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operationsDefine and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocityConduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modesMentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvementCollaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelinesTECHNICAL SKILLS & EXPERTISEExpert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or DynatraceStrong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelinesDeep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey)Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelinesProficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooksInfrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systemsCI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releasesCost management: experience with FinOps principles, resource optimisation, and cloud spend analysisSOFT SKILLS & COMPETENCIESStrong leadership and mentoring ability - coaches and develops junior engineersExcellent stakeholder management and communication skills across all levelsStrategic thinker who balances technical depth with business outcomesProven ability to drive change, influence without authority, and build consensusStrong analytical and problem-solving mindset with attention to detailAbility to manage competing priorities across multiple workstreams simultaneouslyQUALIFICATIONS & EXPERIENCE7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacityProven track record of improving availability, reducing MTTR, and implementing self-healing at scaleExperience managing or automating database operations in enterprise environmentsRelevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE FoundationBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)DESIRABLE / NICE TO HAVEPublished work or conference talks on SRE, observability, or chaos engineeringExperience with service mesh (Istio) and distributed tracing at scaleBackground in financial services or regulated industry SRE practicesAbout usWe're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.Fostering innovation through diverse perspectivesHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.How we look after youWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
26/07/2026
Full time
FunctionCloud & Data EngineeringOur CompanyWe're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.Job descriptionMandatory Skills:Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management.Role Description Skills:ROLE PURPOSELead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving.KEY RESPONSIBILITIESDefine and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysisDesign and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilitiesLead automated incident management: detection, triage, escalation, remediation, and post-incident review automationDrive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operationsDefine and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocityConduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modesMentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvementCollaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelinesTECHNICAL SKILLS & EXPERTISEExpert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or DynatraceStrong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelinesDeep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey)Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelinesProficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooksInfrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systemsCI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releasesCost management: experience with FinOps principles, resource optimisation, and cloud spend analysisSOFT SKILLS & COMPETENCIESStrong leadership and mentoring ability - coaches and develops junior engineersExcellent stakeholder management and communication skills across all levelsStrategic thinker who balances technical depth with business outcomesProven ability to drive change, influence without authority, and build consensusStrong analytical and problem-solving mindset with attention to detailAbility to manage competing priorities across multiple workstreams simultaneouslyQUALIFICATIONS & EXPERIENCE7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacityProven track record of improving availability, reducing MTTR, and implementing self-healing at scaleExperience managing or automating database operations in enterprise environmentsRelevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE FoundationBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)DESIRABLE / NICE TO HAVEPublished work or conference talks on SRE, observability, or chaos engineeringExperience with service mesh (Istio) and distributed tracing at scaleBackground in financial services or regulated industry SRE practicesAbout usWe're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.Fostering innovation through diverse perspectivesHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.How we look after youWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
