Machine Learning Jobs

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex ML and software projects, architecting scalable systems and overseeing delivery across multiple workstreams in high-risk life sciences environments. Also drives shared libraries, leads hiring and mentoring, and acts as a technical coach to pharma and MedTech clients.

Azure · GCP · AWS +2

• 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 technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.

AWS · Azure · GCP +2

• Exeter
• £21,805 pa
• Entry level
• Contract

Builds next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability and cross-cancer generalisation. Works in a lab-in-the-loop cycle with AstraZeneca and Cancer Research Horizons FGC, who generate pancreatic cancer perturb-seq data to fine-tune the computational models. Purely computational, with high performance computing and industry-aligned experience.

Perturb-seq · DepMap · Project Score

• Cambridge
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale neural network workloads onto future hardware. Involves LLVM/MLIR work, graph transformations, scheduling and memory/layout optimizations, plus close collaboration with hardware architects on co-design.

LLVM · MLIR · TensorFlow +3

• United Kingdom
• Hybrid
• Senior

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

LLVM · MLIR · TensorFlow +3

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Partner with founders and startup engineers as a technical advisor, guiding them from evaluation through deployment of LLM applications on the Claude Developer Platform. You'll run technical evaluations, design architectures, develop evaluation frameworks, and feed emerging use cases back to Product and Engineering, with travel to customer sites and events.

Claude · Claude Developer Platform

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Senior

You'll act as a trusted technical advisor to high-growth startups building on the Claude Developer Platform, pairing with customer engineering teams on architecture reviews, code contributions and agent design. The role blends hands-on LLM engineering—evaluation frameworks, prompting, deployment—with developer-facing content, workshops and hackathons, feeding insights back to Product and Engineering.

Claude · Claude Developer Platform