AI Engineer

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Mobile Application Developer – AI Finance Agent

• Lead the full delivery of AI and machine learning projects, ensuring timelines, budgets, and quality standards are achieved.
• Run and mentor delivery teams, providing clear direction, support, and professional development opportunities.
• Develop and maintain comprehensive project plans, risk registers, and delivery roadmaps using appropriate methodologies.
• Engage with senior collaborators and clients to understand requirements, lead expectations, and communicate progress and outcomes.
• Analyse project performance metrics and implement continuous improvement initiatives to improve delivery efficiency.
• Coordinate prioritisation, capacity planning, and team composition to optimise project outcomes.
• Identify and mitigate risks proactively, developing contingency plans and protocols for blocking issues.
• Champion guidelines in AI delivery, governance, and ethical implementation across the organisation.
• Collaborate with technical teams to ensure architectural decisions align with business objectives and delivery constraints.
• Facilitate knowledge sharing and capability building within the delivery function.

AI Delivery Lead

• Engineering and maintaining innovative, customer centric, high performance, secure and robust solutions
• Working within a feature team to engineer software, scripts and tools
• Producing complex and critical software rapidly and of high quality that adds value to the business
• Working in permanent teams responsible for the full life cycle, from initial development through enhancement, maintenance to replacement or decommissioning
• Collaborating to optimise software engineering capability
• Designing, producing, testing and implementing working software solutions
• Working across the life cycle from requirements analysis and design through coding to testing, deployment and operations

Software Engineer, AI

• Building core agentic product features; researching, planning, refining, executing and maintaining
• Collaborating with other engineers to integrate AI into our enterprise software product
• Designing end-to-end AI solutions from the backend to user interface, and deploying them both in cloud environments and on-premise.
• Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions
• Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI
• Building secure, robust solutions by adhering to coding standards throughout the development lifecycle

• Leads the overall post-sale value realization strategy for Nexus Black.
• Responsible for building, scaling, and managing the AI Adoption Engineering organization.
• Set the vision, define operating models, influence GTM and product strategy.
• Ensure customers achieve repeatable early wins, expanded value realization, and long-term strategic partnership.
• Serve as executive sponsor for key enterprise customers.
• Drive innovation in workflows, integrations, and AI-enabled customer processes.

AI Adoption Lead

• Develop comprehensive change management strategies for AI implementation
• Conduct stakeholder analysis and create stakeholder engagement plans
• Design and deliver communications campaigns that support AI adoption
• Develop training plans and materials for end‑users
• Establish and support networks of change champions
• Track benefits, measure adoption and produce reporting
• Conduct business readiness assessments
• Manage resistance and develop mitigation strategies
• Support post‑implementation transition to BAU operations
• Collaborate with project delivery teams to align change activity with solution rollout

• Act as the primary point of contact with major clients during project delivery and represent the company on Project Steering Groups
• Manage all elements of the PRINCE2 Agile project management lifecycle for AI transformation programmes
• Coordinate technical implementation teams for projects and solutions across multiple concurrent workstreams
• Manage project budgets, resourcing, risk management and stakeholder engagement across multiple council departments
• Provide client communications and reporting, including regular Highlight reports and project status updates
• Ensure accountability for project quality through test plans, governance reviews and risk management
• Create and maintain project documentation including Project Initiation Documentation, Project Plans, RAID Logs, and Change Management Trackers
• Deliver Risk Management, Stakeholder Management, Budget Management, Benefits Realisation, Business Intelligence and Renewal management
• Effective resource planning to ensure maximum billable resource allocation
• Provide consultancy services and gather solution requirements from stakeholders
• Support the Project Management Office team with PMO continuous improvement initiatives.

AI Transformation Lead

• Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy.
• Evaluate and recommend AI technologies, modelling approaches, and platform components.
• Stay up to date with advances in agentic AI and domain-specific AI research.
• Translate emerging capabilities into practical architectural recommendations.
• Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale.
• Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources.
• Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora.
• Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics.
• Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production.
• Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs.
• Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance.
• Ensure all AI systems comply with RELX Responsible AI Principles.
• Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks.
• Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders.

AI Architect

• Run discovery with customer stakeholders across Procurement, Finance, Legal, and IT, and translate their process into an Omnea configuration
• Design the target workflow: approval chains, routing logic, integrations, and the edge cases that make procurement hard
• Define success criteria and a realistic path to go-live with the customer's project sponsor
• Direct Omnea's AI-assisted deployment tooling to build first-draft workflows, configurations, and integration mappings from your specifications
• Write specifications precise enough for AI to execute correctly. This is the core skill of the role, not an afterthought
• Validate every AI-generated output against the customer's actual process, policy, and edge cases before anything ships
• Handle what AI can't: judgment calls on ambiguous requirements, custom logic, and anything that needs a human read on internal politics
• Present configured workflows to stakeholders, from procurement analysts to CFOs, and win their buy-in
• Project-manage the deployment: timelines, blockers, stakeholder alignment, and a clear path to launch, acting as an extension of the customer's team
• Track adoption after go-live and keep the configuration working as the customer's process evolves
• Feed what you learn back to Product and Engineering. You'll help prioritise the roadmap and beta-test new modules as they ship

AI Solutions Lead

• Partner with clients to define AI strategies, adoption roadmaps and investment priorities.
• Design enterprise AI platforms, operating models and governance frameworks.
• Lead workshops with business and technology stakeholders to shape AI transformation programmes.
• Advise clients on technologies including Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Claude and other enterprise AI platforms.
• Design secure, scalable architectures for AI agents, knowledge management and Generative AI solutions.
• Produce high-quality client deliverables including strategies, operating models, roadmaps and architectures.
• Provide architectural and delivery leadership across AI engagements.
• Support business development, proposition development and technology partnerships.
• Mentor consultants, architects and engineers within the AI practice.

Principal AI Architect

• Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.
• Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.
• Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.
• Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.
• Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.

AI Product Engineer

• Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
• Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
• Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
• Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
• Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.

AI/ML Engineer

• A transformative leader in responsible AI, engaging and enabling the Platform and Business
• Inform the patterns of ethical AI development and deployment for the Group
• Guide prominent AI use cases
• Partner with the Business and Platforms to bring appropriate AI risk mitigations
• Establish guideline patterns for reuse across the Group
• Play a key role in establishing a programme of responsible AI enablement for the Group
• Promote a culture of safe and ethical AI throughout the organisation, advising senior leaders
• Organise the Responsible AI support for the Big Bet agenda
• Provide expertise support to use cases that fall under the Big Bet themes
• Shape the formation of repeatable risk & control patterns

AI Enablement Lead

• Look at how a client works today and find sensible ways to use AI and automation to make delivery faster and more consistent.
• Reviewing the technology, data and systems that support how the business runs.
• Finding where AI and automation would genuinely help, and where they would not.
• Setting out a clear and practical target design that fits the client's existing tools and data.
• Turning findings into a plan the client can actually follow.
• Working alongside our strategy, analysis and adoption people on the same engagement.

AI Enterprise Architect, Associate

• **Technical Leadership & Engineering**
• ● Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation.
• ● Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect.
• ● Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines.
• ● AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance.
• ● Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents.
• **Team Mentorship & Delivery**
• ● Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility.
• ● Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints.
• ● Drive MVP to Production: Shift the team’s focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition.
• **Evolve AI Maturity**
• ● Support the company’s evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection.
• ● Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team.
• ● Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies.

Lead AI Engineer

• Define Fuse's inference serving strategy and architecture from first principles.
• Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads.
• Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers.
• Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents).
• Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans.
• Act as a direct technical owner of inference performance and reliability.
• Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer.
• Set the standards, tooling, and benchmarks this function will run on as it grows.

AI Inference Engineer

• Work on exciting public sector projects and make a positive difference in people’s lives.
• As a Graduate Machine Learning Engineer, you’ll start building the skills to research machine learning models and evaluate how they can be applied within our specialist domain.
• Work alongside and learn from a small team who deliver AI capabilities for the UK government.
• Bring a foundation in software engineering from your degree alongside your ML knowledge.
• Get hands-on with research, experiment under guidance, and see how new approaches translate into practical capability for our customers.
• Work closely with, and be mentored by, a small, high-performing team of engineers and researchers, contributing ideas and building new skills as you go.

Graduate Machine Learning Engineer, AI

• Work on exciting public sector projects and make a positive difference in people’s lives.
• Research machine learning models and evaluate their application within the specialist domain.
• Collaborate with a small team to deliver AI capabilities for the UK government.
• Keep learning about various AI techniques such as classical ML, generative, and adversarial methods.
• Experiment with new approaches and translate them into practical capabilities.

Machine Learning Engineer, AI

• Build AI-enabled features end-to-end - React front-ends in Azure Static Web Apps, Python back-ends in Function Apps, agent logic, prompt design, integrations.
• Partner with the AI Business Analyst on requirements - ask the questions that uncover the real need.
• Own delivery of features end-to-end, including testing and support during UAT.
• Design effective prompts and agent workflows.
• Write clean, well-tested code that passes code review and ships through the Azure DevOps pipeline.

AI Developer

• Lead the design, build, and deployment of ML models and AI systems
• Own the end-to-end lifecycle of AI and ML models
• Establish and evolve ML engineering standards and best practices
• Oversee model performance in production, including accuracy and stability
• Embed controls, monitoring, and validation within AI and ML solutions
• Enable automation of decision-making through AI

AI Engineer jobs in United Kingdom

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Mobile Application Developer – AI Finance Agent

AI Delivery Lead

Software Engineer, AI

AI Engineer

AI Adoption Lead

AI Adoption Lead

AI Transformation Lead

AI Architect

AI Solutions Lead

Principal AI Architect

AI Product Engineer

AI/ML Engineer

AI Enablement Lead

AI Enterprise Architect, Associate

Lead AI Engineer

AI Inference Engineer

Graduate Machine Learning Engineer, AI

Machine Learning Engineer, AI

AI Developer

AI Engineering Lead