Data Science Jobs

• London
• Hybrid · 2–3 days in office
• £90,000 – £120,000 pa
• Senior
• Permanent

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable production AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

• Seattle, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds robust APIs and Kubernetes controllers for Mission Manager, Palantir's PaaS that lets US Government customers run software securely in disconnected, cloud, or edge environments. Works with forward deployed engineers to close product gaps and shape a long-term infrastructure roadmap for a platform still in its earliest days.

Kubernetes · Palantir Apollo · PaaS

• Colchester
• £25,000 – £45,000 pa
• Entry level

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 be completed in 6-12 months around existing commitments.

Azure · Git · GitHub

• Cambridge
• £25,000 – £45,000 pa
• Entry level

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 a guaranteed job offer or a full refund of course fees.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid
• Lead
• Permanent

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Metaview

• London
• Hybrid
• Permanent

Builds and maintains the internal delivery platform that supports over 100 data scientists and ML engineers, owning cloud infrastructure, MLOps and deployment tooling. Work spans infrastructure-as-code, DevSecOps, containerised microservices and multi-cloud integration across AWS, Azure and GCP, with a focus on removing technical friction for delivery teams.

AWS · Azure · GCP +5