AI Engineer Jobs in London, UK 🇬🇧

The titles on this page span generalist AI engineering, applied and forward-deployed positions, LLM-specific engineering, and principal or staff-level architecture roles. In practice the work clusters around two themes: building and deploying LLM-powered systems into production, and designing the evaluation frameworks that measure their accuracy, safety, and latency.

Appnovation's AI / Agent Engineer focuses on MCP servers and graph-RAG pipelines for multi-model retrieval. Google's Applied AI Engineer owns customer conversational workflows end to end, including agentic system design on GCP. Microsoft's health-focused role centres on building LLM evaluation systems and translating research into benchmarks for healthcare stakeholders. Latent Labs asks for someone to embed generative biology models directly into pharmaceutical customer environments. Anaplan's Principal AI Engineer works across the full stack from prompt engineering to user interfaces. Isomorphic Labs applies LLM infrastructure to drug discovery at scale. Forward-deployed variants appear across several employers, pointing to a client-facing delivery component alongside the core engineering work.

All postings on this page state a work arrangement. A majority are listed as onsite, with the remainder hybrid. None are listed as fully remote, though one sample title explicitly notes "Remote Eligible in the UK" as a qualifier, suggesting some individual postings may carry exceptions that the top-level classification does not fully reflect. For any posting where the precise office location, days on-site, or remote flexibility matters to you, the arrangement should be confirmed directly with the employer, as the level of detail varies between postings.