Machine Learning Jobs

• London
• Hybrid
• Junior
• Permanent

Scoping, building and delivering bespoke AI projects for government national security clients, managing work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, designing user-centric workflows and building trusted stakeholder relationships, with eligibility for UK Developed Vetting and occasional on-site client work.

Metaview

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade machine learning systems for national security and AI safety clients, including LLM applications, multi-agent tooling and evaluation of frontier models. Involves leading technical scoping and architecture decisions, defining deployment standards, and advising customers, working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• United Kingdom
• Remote
• Permanent

Design, build and maintain open source SDKs, client and server libraries and an MCP server to drive developer adoption, while shaping the ElevenLabs API and developer tooling. Acts as "customer zero" for new developer products, jumping across languages and the stack, with scope to write technical content and speak at conferences.

MCP

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo efficacy and complex in vitro functional assays. Act as Biology Lead on projects, coordinating internal workflows and external CROs through candidate selection, while feeding data back into generative AI design loops.

Machine Learning · AI · Computational Biology +1

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• London
• Hybrid
• Senior
• Permanent

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.

PyTorch · TensorRT · GitHub Actions +1

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• London
• Hybrid
• £225,000 – £255,000 pa
• Mid-level

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals for physical-world safety, and scale learnings through cookbooks and the Model Hardware Standard. Expect significant travel and EMEA ambassadorship at conferences.

Claude · Model Hardware Standard · Liquid Handlers +2

• London
• Hybrid
• Senior

Gatekeeper for EMEA data center deals from desktop review through LOI to lease execution, spending about 75% of time on preconstruction and pre-lease diligence and 25% on delivery. Independently tests developer schedules, costs, power and permitting against source documents, shapes lease and contract terms, and embeds with partners on site to drive accelerated build schedules.

Claude

• London
• Hybrid
• Mid-level
• Permanent

Design and build production systems that evaluate AI agent behaviour in real time, detecting risky actions and enabling safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers to turn prototypes into scalable safety capabilities across OpenAI products.

OpenAI

• London
• Hybrid
• Lead
• Permanent

Own end-to-end system architecture for the Wayve AI Driver across L0–L4, defining interface contracts, ECU and sensor requirements, and safety mechanisms. Lead technical alignment with OEMs, Tier 1s and partners, and support integration, bring-up and system-level debugging on vehicles and HiL/ViL benches.

Linux · RTOS · ECU +3