101 to 125 of 253 Artificial Intelligence Engineering Jobs in the UK

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. … technical expertise. This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross‐functional projects alongside colleagues from Technology, Data and Product. ...

seeking a Senior AI Engineer to design, build and deploy generative AI systems for financial services clients. You’ll own the full AI engineering lifecycle, from architecture to production deployment, working with multi-disciplinary teams across client projects. The role emphasizes scalable MLOps, low-latency AI, and hands ...

make a difference in ways that matter to you.We are seeking an experienced Lead Software Engineer to join T. Rowe Price Labs’ AI Engineering team. In this role, you will lead the design and delivery of production-grade AI systems, guide technical direction across high-impact initiatives … best practices for responsible AI. You will contribute to reusable AI capabilities, influence engineering standards, and help set direction for modern AI engineering at T. Rowe Price. You will also help showcase the team’s AI work to visiting clients and partners, explaining how our projects ...

trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering ...

About the role As a AI Security Architect , you will lead the design and implementation of robust security architectures, standards, and governance frameworks for Artificial Intelligence (AI), Generative AI (GenAI), AI-powered applications, agents, copilots, and enterprise environments. This role requires a deep understanding … AI security, AI governance, cloud-native security, application security, data security, and enterprise security technologies. You will work closely with product teams, AI engineering teams, developers, security engineers, DevSecOps, legal, risk, and operations teams to ensure security is Embedded throughout the application life cycle, from solution design ...

something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions … reliability of AI-driven features, while contributing to the technical growth of the team. Responsibilities Responsibilities include: Bridge data science and software engineering to productionize AI/ML solutions. Collaborate with data scientists, software engineers, and product teams to deliver robust, scalable AI features for Workday Products. Integrate ...

technical solution design and architecture decisions, bringing clarity from ambiguous client requirements Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments Lead end‐to‐end solution delivery, from discovery … also being able to lead implementation during delivery Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field Microsoft certified i.e. Azure AI Apps and Agents Developer ...

Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. AI Engineering Lead Location London Employment Type Full time Location Type Hybrid Department The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with … workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring an AI engineering lead as the first engineering hire on the intelligence software product. Substrate runs two AI products on top of operational ...

engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands‐on experience applying agentic patterns in real delivery work. Comfortable … software engineering, AI, cloud, and automation. Clear communicator across technical and non‐technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career ...

Resources is seeking a Senior Software Engineer for an AI engineering organisation to deploy and optimise a leading open-source LLM inference engine across two core programmes: a scaling inference initiative and a high-assurance/regulatory environments initiative. You will work with Python and low-level languages ...

Head of AI Engineering As a member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature … pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high‐quality delivery ...

based decisioning logic - incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements - knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … problem, starts building, ships, improves Experimental mindset - runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning Locations London Additional Information Equal Employment Opportunity Statement All employment decisions ...

Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high‐performing AI engineering function aligned to COO's operational priorities — including team topology, operating … each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model — hire and structure a high‐performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production‐grade ...

Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements**Building the AI Engineering Organization*** Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities — including team topology, operating … AI/ML, or related field preferred**What success looks like:**In the first year, we expect the successful candidate to:* **Establish the AI engineering team and operating model** — hire and structure a high-performing team with clear roles, responsibilities, and a strong culture* **Deliver 3+ production-grade ...

agentic use cases across the organisation. You will develop reusable platform services for Azure APIM, Databricks and model serving, collaborating with architecture, AI engineering and product teams to ensure enterprise-standard, scalable, and cost-efficient AI workloads. #J-18808-Ljbffr ...

Kainos, a leader in digital services, seeks a Senior AI Engineer within Workday Products to bridge data science and software engineering and productionize AI/ML solutions. You will work with data scientists, software engineers, and product teams to deliver robust AI features for Workday products. You will ...

Space LLC in London seeks an experienced Lead Software Engineer to lead the design and delivery of production-grade AI systems within our AI Engineering team. You will mentor engineers, define architecture, and scale AI products across the firm. You will work with business stakeholders and global teams ...

and implementation of AI capabilities within a Finance AI platform. This is a hands‐on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud‐native engineering expertise with practical experience building … frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability, governance, security, and performance. Mentor engineers and provide technical leadership across ...

CONTRACT AI BACKEND ENGINEER (OUTSIDE IR35) Agentic AI | Claude Code | GitHub Copilot | C#/.NET | AI Engineering | Outside IR35 Hybrid Working (2 Days Onsite in Greater Manchester) £500 - £580 Per Day Outside IR35 Initial 3 Month Contract CONTRACT AI BACKEND ENGINEER We're looking for an experienced AI … platforms Experience introducing or championing AI-assisted software engineering within development teams Strong understanding of Agentic AI concepts, prompting strategies and AI engineering workflows Experience creating reusable AI project context, commands and documentation (such as AGENTS.md , CLAUDE.md or equivalent) Passion for coaching and enabling other engineers ...

+ Benefits, Training & Bonus Package Full Time | Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design … technical stakeholders to deliver measurable business value * Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/ ...

concept work. Key Responsibilities Design, build, and deploy machine learning models into production environments Work with generative AI/LLM integration, including prompt engineering, fine-tuning, or RAG-based architectures Collaborate with data engineers and software developers to build robust data pipelines feeding ML systems Monitor and maintain … with emerging techniques, tools, and frameworks in the AI/ML space Essential Skills & Experience 2-4 years' experience in a machine learning, AI engineering, or applied data science role Strong Python skills, with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Experience deploying models to production ...

multi-agent workflows on AWS, with strong emphasis on observability, reliability, cost control, security and continuous optimization in production environments. Required Skills Agentic AI, Engineering, AWS Platform, AIOps/LLMOps, Dev Key Responsibilities AI Agent Development Design and develop AI agents and multi-agent workflows using AWS AgentCore … with enterprise APIs, databases, event streams and third-party platforms. Design secure and scalable AI architectures aligned to AWS Well-Architected principles. Application Engineering Develop backend services, APIs and orchestration components using Python and TypeScript. Build event-driven and serverless applications using AWS Lambda, API Gateway, EventBridge, Step ...

Mentor and support junior engineers through design reviews, code reviews, and technical guidance. Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team. Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time. Partner with business … judgment. You raise the quality bar through mentoring, code reviews, and engineering best practices. You contribute to a stronger AI engineering capability across the organization. Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable ...

week on site, up to £800/day, Inside IR35 THE COMPANY A major international aviation group is building a brand-new AI engineering capability to transform its maintenance and supply chain operations. The programme is fully greenfield: the team formed only weeks ago, there is a roadmap … internal AI products, and the first is an LLM-powered contract intelligence platform targeting tens of millions of pounds in savings across the group. THE ROLE This is a deeply technical leadership role. You will own architecture across half the domain, drive the technical decisions, and work with squads ...

Responsibilities Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Lead the technical direction of AI Engineering initiatives Provide technical leadership, mentoring and coaching to AI Engineers across the wider team Help establish engineering standards, best practice … code quality across AI Engineering Collaborate closely with Digital Products, AI, Data & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Help transition AI Proof of Concepts into secure, scalable production solutions Contribute towards ...