1,876 to 1,900 of 16,729 AI Jobs in the UK

leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

scalable solutions that benefit the wider organisation. About the role This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical … direction on architecture, MLOps, responsible AI, legacy system integration, AWS-based delivery, and AI-assisted development practices. The position does not have direct reports. Key Responsibilities Serve as the initial point of escalation for AI/ML engineering issues within the area of responsibility. Interface with software engineers, data engineers ...

technical decisions, and enjoys improving how software is designed, built, and operated. We’re also looking for engineers who embrace modern engineering practices, including AI‐assisted development and agentic ways of working, to help teams work more effectively and deliver greater value. What You'll Be Doing Design, build … systems, and distributed applications Collaborate with platform teams to ensure reliable, scalable deployments Contribute to CI/CD pipelines and improve engineering workflows Leverage AI‐assisted development tools and agentic workflows to improve productivity and software quality Identify opportunities to automate routine engineering tasks through intelligent tooling and AI Troubleshoot ...

Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives.This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation … modern AWS-based MLOps and LLMOps platform.The RoleThe successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative AI approaches while ensuring successful models integrate seamlessly into live operational systems.This is a high-impact role at a pivotal point in the adoption of AI ...

headphones. In this role, you will partner closely with the team lead to architect and advance the automation ecosystem, with a strong emphasis on AI-driven innovation through internal initiatives. You will design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimise test effectiveness across … pass/fail metrics, focusing on regression prevention and production reliability. The ideal candidate brings deep expertise in test architecture, embedded systems automation, and AI-powered quality assurance, and is excited to drive meaningful transformation in how Roku tests and delivers audio experiences. How will I use AI at Roku ...

ContributorTravel: Less than 25%Profession: Consulting ServicesDiscipline: Solution ArchitectureCompany: MicrosoftOverviewMicrosoft is helping define a new era of scientific and industrial innovation: one where agentic AI, cloud-scale computing, data, simulation, and human expertise come together to accelerate breakthroughs that once took months or years. As customers look to transform … engineering to identify high-value R&D scenarios. The Industry Architect serves as the strategic bridge between scientific innovation, business outcomes, and Microsoft’s AI technologies, shaping high-value opportunities from pre-sales through delivery and leading first-of-its-kind MVPs and cutting-edge production deployments.This is a role ...

business requirements of a global 247 trading operation, while balancing stringent non-functional demands for availability, latency, and resilience.Critically, you will lean heavily into AI-driven development. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess … strategic transformation: Work alongside domain experts to understand existing production processes, challenge long-held assumptions that may no longer hold in a cloud-centric, AI-driven world, and define and deliver the requirements for CTL integration.Multiply your output with AI: Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin ...

integration and develop solutions that leverage LLM capabilities.Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation.Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced applied ...

contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skillsComputer Science degree or equivalent expertisePractical cloud native experienceHands ...

offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.Joining the AI Strategy, Research & Enablement team, you’ll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world … collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future.We’re looking for a Senior Research Data Scientist to play a key role in developing dunnhumby’s next-generation models across a range ...

solutions or breakdown technical problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...

headphones. In this role, you will partner closely with the team lead to architect and advance the automation ecosystem, with a strong emphasis on AI-driven innovation through internal initiatives. You will design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness across … pass/fail metrics, focusing on regression prevention and production reliability. The ideal candidate brings deep expertise in test architecture, embedded systems automation, and AI-powered quality assurance, and is excited to drive meaningful transformation in how Roku tests and delivers audio experiences. How will I use AI at Roku ...

users to understand requirements and prioritize deliverables Apply Agile development methodologies to drive projects from inception to production Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Focus on testing and quality throughout the development cycle Contribute to continuous ...

headphones. In this role, you will partner closely with the team lead to architect and advance the automation ecosystem, with a strong emphasis on AI-driven innovation through internal initiatives. You will design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness across … pass/fail metrics, focusing on regression prevention and production reliability. The ideal candidate brings deep expertise in test architecture, embedded systems automation, and AI-powered quality assurance, and is excited to drive meaningful transformation in how Roku tests and delivers audio experiences.How will I use AI at Roku ...

support knowledge sharing across the team Contribute to code quality through reviews, testing practices, and defect resolution Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where … deliver greater value for our global client baseConduct sophisticated analytics informed by market and proprietary data to inform critical business decisions leveraging latest AI models and BI toolsDesign, Develop, and Market innovative collateral products in an AI-Accelerated Agile development modelCollaborate across teams including sales, technology, legal, operations, and third ...

engineer to join our London team who will help drive the automation agenda, onboard new products onto our platform, drive integration with new innovative AI/ML led autopricers and extend the connectivity with external vendors to increase flow. As a Lead Software Engineer at JPMorganChase within the Equities Derivatives … amount of a robust, secure and efficient API to persist/retrieve data and implement the business logic rives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

that power how our people work, every day. Reporting to the CIO, you will lead a team responsible for the business systems, collaboration platforms, AI and productivity tooling, end-user technology services, and the internal platform engineering capability that will underpin how automation is built and scaled across Genius Sports. … team’s evolution from reactive IT support to proactive platform engineering, embedding engineering culture, practices, and accountability into how the function operates. Drive AI and Productivity Tooling Adoption Own the strategy and governance for enterprise AI and productivity tools, including Claude, ChatGPT, and Microsoft Copilot, ensuring deployment aligns with ...

engineer to join our London team who will help drive the automation agenda, onboard new products onto our platform, drive integration with new innovative AI/ML led autopricers and extend the connectivity with external vendors to increase flow.As a Lead Software Engineer at JPMorganChase within the Equities Derivatives Front … significant amount of a robust, secure and efficient API to persist/retrieve data and implement the business logicrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy ...

personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. Data & AI Engineering is a cross-functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI-infused … engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. ...

Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success … Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure supporting our cutting-edge AI-infused scenario planning platform. You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ...

Rates Nonlinear trading deskDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration … automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...

work directly influences the stability of services relied upon by millions.As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management … including operations reviews, incident review boards, and reliability councils to drive accountability, share learnings, and align stakeholders on priorities.Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy ...

heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators … deliver greater value for our global client base Conduct sophisticated analytics informed by market and proprietary data to inform critical business decisions leveraging latest AI models and BI tools Design, Develop, and Market innovative collateral products in an AI-Accelerated Agile development model Collaborate across teams including sales, technology, legal ...