Artificial Intelligence Jobs

Wayve · London

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data and large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Multiverse · London

Bridges People strategy with hands-on technical product management, building an AI-native People function from the ground up. Owns the vision, strategy and quarterly roadmap for internal People Ops technology, covering core HR systems, integrations, data flows, identity and automation for ~1000 employees. Requires systems thinking and influence across People, Engineering, Security, Compliance, Legal and Analytics.

Multiverse · London

Owns end-to-end AI systems, building agents and the retrieval, memory and RBAC layers that make context permission-aware. Designs evaluation pipelines, tool integrations via MCPs and APIs, and influences architectural direction within a small, high-velocity cross-functional squad.

University of Surrey · Guildford · £21,805 pa

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

Maritime & Coastguard Agency · Southampton · £45,900 pa

Lead the Maritime Innovation Hub's work on digitalisation, AI, data, connected technologies and autonomous surface ships. You will horizon-scan, build industry and academic networks, produce guidance, and support policy and regulatory colleagues while helping innovators navigate the maritime regulatory regime. The role is outward-facing and international, feeding into the IMO Digitalisation Strategy.

Scale AI · London

Sets standards for responsible AI, model governance and production MLOps across a public sector team, and builds or validates the highest-risk parts of strategic AI systems. Acts as senior technical partner to client leadership, leads severe incident resolution, and coaches other applied AI engineers. Requires deep production AI/ML ownership and experience with regulated, sovereign or on-premise deployments.

Aioi Nissay Dowa Europe · United Kingdom · £81,322 – £112,488 pa

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client projects. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

Luminance · Cambridge

Builds AI prototypes combining multiple components to solve complex, nuanced tasks, integrating novel agentic technologies such as memory usage and personalization. Productionises solutions into reusable libraries and frameworks, shipping features and tools for large enterprise customers from day one. Works with LLMs like GPT, Claude and Mistral in a fast-moving, quality-focused team.

Luminance · Cambridge

Join a small, dynamic R&D team prototyping and implementing new approaches to AI problems, evaluating output quality, efficiency and feasibility against other techniques in a data-driven way. Work spans data science on large datasets, modelling and evaluation, using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn. Open to graduates as well as senior candidates with published work in NLP, Computer Vision or Deep Learning.

OpenAI · London

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Amazon · London

Join the Audible Research team to advance computer-generated speech, developing novel deep learning algorithms and modelling techniques for spoken language generation. You will design, evaluate and deploy data-driven models using large-scale computing resources, while leading and mentoring junior engineers and scientists.

Hays Technology · United Kingdom · £90,000 – £100,000 pa

Hands-on technical lead for a large-scale AI programme at a digital consultancy, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Responsibilities span RAG pipelines, semantic search, embedding infrastructure, orchestration, Responsible AI guardrails, LLMOps and mentoring client-side engineers.

Akkodis · London · £60,000 – £85,000 pa

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and managing competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, supporting governance, assurance and senior stakeholder engagement.

OpenAI · London

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with the Child Safety team and cross-functional groups, owning systems end-to-end in an ambiguous, fast-moving environment. Involves exposure to sensitive and egregious content.