76 to 100 of 135 Artificial Intelligence Engineering Jobs in the UK excluding London

maintain a platform convergence strategy that articulates the current-state landscape, the target architecture, and a credible transition path — enabling bp's engineering platforms and SaaS solutions to operate as an integrated whole. Lead architectural design and decision-making at the intersection of internal platforms and enterprise SaaS … decision records that are accessible to both engineering and executive audiences, building shared understanding of the platform direction. Collaborate with AI engineering, software engineering, and external vendor and partner teams to ensure that platform architecture decisions enable and do not constrain the delivery ...

Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work … assist in preparing research documentation Maintain and improve research infrastructure, tools, and workflows Stay up to date with the latest advancements in AI, engineering best practices, and related fields Requirements: PhD in Computer Science or related subject Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI ...

direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial … production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), agentic AI, model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG ...

Engineering Lead Senior technical leader within the Global ServiceNow Portfolio organisation, reporting directly to the CTO/Portfolio Lead. Responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos … technologies, ServiceNow releases, and ecosystem opportunities to shape next‐gen solutions. Partner with the CTO on strategic bets and long‐term capability building. AI Engineering & Next‐Generation Solutions Lead engineering design and development of GenAI solutions, Agentic AI components (autonomous agents and workflow orchestration), AI‐infused ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. … evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments. Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems. Enable production deployment of ML models and LLMs ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent … engineers and build cohesive, productive teams Experience leading teams in fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems ...

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 ...

checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks … deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads ...

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 andMLOpstooling. The roleis responsible forestablishingAI engineering … standards,governanceand 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 and operational excellence. Define andmaintainengineering standards, AIguardrailsand Responsible AI practices. Oversee model development, deployment, monitoring ...

governance, and business stakeholders. Navigating complex and ambiguous problem spaces to identify practical AI opportunities. Providing technical leadership, guidance, and mentoring within the AI engineering function. Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience Strong commercial experience delivering GenAI solutions into … software engineering fundamentals and experience building scalable applications. Experience making architecture and technology decisions within enterprise organisations. Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. Experience working with cloud platforms, ideally AWS. Ability to balance innovation with risk, governance ...

will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams … lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth ...

data and AI technologies, helping organisations unlock value from their data and accelerate digital transformation.Whether your background is in Data Engineering, AI Engineering, or both, you'll have the opportunity to design and build scalable solutions that deliver real business impact. As one of our AI ...

summary Join CUH during at a unique moment in healthcare, healthtech and the digital transformation of our services, as we embrace artificial intelligence to improve the care we provide. Our Innovation team is nascent but has grand aspirations. We work within a unique ecosystem on the Cambridge Biomedical … plans afoot for new children's, cancer research and acute hospitals. Our academic partner, Cambridge University, has a global reputation in healthtech, AI, engineering, manufacturing and life sciences. And our neighbours on campus include the recently rebuilt Royal Papworth Hospital and Astrazeneca's global R&D facility ...

right in. As a Senior Software Engineer – AI Native Platforms, you'll help build the next generation of AI-enabled engineering at Compare the Market. As the Senior Software Engineer, you will lead development of first-class technical solutions whilst also actively contributing to and leading a culture … maintainable software. Participate in code reviews, testing and continuous improvement activities to maintain high engineering standards. Learn and apply emerging AI engineering techniques while contributing ideas that improve our platforms and developer experience. What we\'re looking for: You'll have commercial experience developing backend software ...

programme and get a job, or get your course fees back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a str... WKCL1_UKTJ ...

programme and get a job, or get your course fees back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a str... WKCL1_UKTJ ...

traffic into better agents, evals, and specialist models, depending on enterprise data and complex context. This role sits at the intersection of applied AI engineering and research, with responsibilities spanning tracing, offline replay, labeling workflows, prompts, and model adaptation in high‐volume tasks. #J-18808-Ljbffr ...