Data Science Jobs

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• 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
• Senior
• Permanent

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead. Bridge cutting-edge AI research and operational mission needs, build trusted relationships with government partners, and develop proposals and RFP responses to unlock new strategic AI use cases. Mentor multidisciplinary teams while supporting sector strategy and commercial growth.

Metaview

• London
• Hybrid
• Director · manages people
• Permanent

Lead Faculty's AI safety work for frontier labs, owning technical strategy across alignment, interpretability and robustness, and building a world-class R&D team. You'll design an AI safety R&D programme, oversee red-teaming and evaluations for clients like OpenAI and Anthropic, and represent the company with governments and at global events.

OpenAI · Anthropic · Metaview

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients in life sciences and other sectors. Work spans architectural decisions, scalable cloud infrastructure, container orchestration, and acting as a trusted technical advisor to customers while mentoring junior engineers.

AWS · Azure · GCP +2

• London
• Hybrid
• Junior
• Permanent

Scoping, building and delivering bespoke AI projects for pharmaceutical clients within a close-knit life sciences team. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing user-centric workflows alongside technical teams.

Metaview

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a national security and AI safety unit.

NumPy · Pandas · Inspect AI +1

• Remote (UK)
• Remote
• Lead
• Permanent

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams. Requires UK Security Clearance and 2-4 days per week on client sites.

Metaview

• Sydney, Australia
• Hybrid
• Senior · manages people
• Permanent

Lead high-impact AI projects, defining data science approaches and designing robust software architectures for bespoke client solutions. Mentor junior data scientists, partner with commercial teams on client relationships, and ensure delivery rigour across the project lifecycle. Hands-on Python, NumPy, Pandas and deep-learning work sits alongside team leadership.

Python · NumPy · Pandas +2

• London
• Hybrid
• Entry level
• Permanent

Supports delivery of bespoke AI projects across education and public services, managing work streams and translating operational and pedagogical needs into user stories for data science and engineering squads. Partners with education leaders, publishers and assessment bodies, working alongside AI safety and evaluation specialists to ensure solutions are fair, valid and evidence-backed.

Metaview

• London
• Hybrid
• Mid-level
• Permanent

Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while building production-grade systems in Python.

Metaview

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Designs scalable ML systems, drives shared libraries and CI/CD infrastructure, and oversees model deployment, versioning and testing. Also manages and coaches engineers while defending architectural decisions to senior stakeholders.

Kubernetes · TensorFlow · PyTorch +1

• London
• Hybrid
• Lead · manages people
• Permanent

Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, while setting technical direction for the data science team. Involves mentoring, contributing to bids and scoping, and publishing thought leadership, with a focus on deep individual contribution and scalable Python codebases.

Large Language Models