613 jobs for “Ai Engineer”
IT Career Switch Barnet £25,000 – £45,000 pa
A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.
IT Career Switch Weston-super-Mare £25,000 – £45,000 pa
A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.
OpenAI London
Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.
Wayve London
Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.
Latent Labs London
Deploys and adapts proprietary generative biology models into pharmaceutical and biotech customer environments, building production-grade API integrations, model-serving infrastructure and ML data pipelines. Combines deep generative-modelling research with customer-facing delivery, fine-tuning models and feeding insights back to research and product teams. Hybrid role with on-site work at international partner locations.
AI Security Institute London £65,000 – £145,000 pa
The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI systems, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. Findings are shared with frontier AI companies, UK officials and allied governments to inform deployment and policy. The role is open to research engineers and scientists at all seniority levels, with appointment conditional on obtaining UK Government Developed Vetting clearance.
AI Security Institute London £65,000 – £145,000 pa
Engineers at all levels build and scale the shared tooling and infrastructure behind the institute's AI safety research, from Inspect plugins and large-scale evaluation systems to model hosting and secure proxy infrastructure. Work spans open-source collaboration, supporting research teams with custom setups, and hardening infrastructure for frontier model evaluations.
PhysicsX New York, United States US$90,000 – US$130,000 pa
Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.
PhysicsX New York, United States US$150,000 – US$250,000 pa
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industrial engineering challenges into product opportunities, tracking engagement and measuring value. Hybrid role based in Manhattan with remote flexibility.
DCV Technologies Manchester £550 – £600 pd
Contract data science role focused on building and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.
Isomorphic Labs London
Translate the company's security strategy into engineering reality, steering a multi-quarter InfoSec roadmap across Cloud Security, Platform IAM and Secure SDLC. Partner directly with engineering and ML teams to secure drug discovery pipelines and Agentic AI workflows, and build data-driven dashboards giving the CISO visibility into program health and risk reduction.
Isomorphic Labs London
Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.
OpenAI London
Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, with enablement workshops and delivery coordination alongside Sales, Product, Research and Engineering. This is a general talent pool rather than a specific vacancy.
Cranfield University Cranfield £21,805 pa
A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.
Luminance London
Design intuitive, user-centred experiences for an AI-powered enterprise platform used by legal, compliance, and operations teams. Lead end-to-end design from research to implementation, creating wireframes, prototypes, and workflows that simplify complex AI-driven processes. Collaborate with product, engineering, and legal experts to ensure usability, consistency, and alignment with the design system.
