Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.

AWS · Azure · GCP +2

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• £255,000 – £325,000 pa
• Lead · manages people

Lead a London-based team building connectivity infrastructure for Claude, including the MCP proxy, OAuth and token management, and official SDKs. The role spans hiring, coaching, roadmap setting with San Francisco partners, and operational rigor for systems that external partners depend on.

MCP · Python · TypeScript +4

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Senior
• Permanent

Builds and operates shared multi-cloud compute platforms behind ChatGPT and the OpenAI API, spanning Kubernetes cluster lifecycle, upgrades, patching, capacity management, autoscaling and infrastructure automation. The role carries end-to-end production ownership, including on-call incident response, and focuses on reusable platform tooling across OCI, AWS and Azure rather than GPU optimization.

Kubernetes · AWS · Azure +2

• Switzerland
• Remote
• Senior

Serve as a trusted technical advisor for the healthcare and life sciences developer ecosystem, helping partners integrate NVIDIA's AI and computing stack into their products and pipelines. Work spans agentic AI, clinical documentation, trial matching and cross-specialty orchestration, with responsibility for mapping the European ecosystem and feeding field insights back to product and engineering teams.

NVIDIA · BioNeMo Agent Toolkit · NVIDIA Agent Toolkit +3