Latest Data Science Jobs

CFD Engineer

This role involves building and running high-fidelity CFD simulations for real-world engineering problems across aerospace, energy, and advanced manufacturing sectors. The engineer will work closely with data science and machine learning teams to generate datasets for AI training, automate simulation workflows, and support customer integrations using tools like Star-CCM+, OpenFOAM, or Fluent. The position blends hands-on CAE modelling with AI-driven innovation in a collaborative, interdisciplinary environment.

PhysicsX United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA

Staff Software Engineer (Inference Platform), London

This role involves leading the reliability and scalability of AI/ML infrastructure for drug discovery, focusing on GPU/TPU systems, Kubernetes orchestration, and inference services. The engineer will design test harnesses, improve monitoring and CI/CD stability, and ensure high-throughput model serving. Work is closely aligned with research and applied ML teams to support biotech R&D at digital speed.

Isomorphic Labs London, United Kingdom

On-site Permanent

Bioanalytical Lead, London

Lead the development and execution of bioanalytical strategies for AI-designed therapeutics across small molecules, biologics, and ADCs. Bridge computational discovery with wet-lab validation by designing robust assays, managing global CROs, and integrating data into AI models. Play a key role in IND-enabling studies and cross-functional preclinical teams.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Delivery Manager

This role involves leading end-to-end delivery of high-impact AI projects for clients, acting as the primary liaison between technical teams and stakeholders. The Delivery Manager ensures timely execution, maximises value, and identifies new commercial opportunities while fostering strong client relationships. The position emphasizes innovation within regulated industries and contributes to shaping best practices in responsible AI deployment.

Faculty AI London, United Kingdom

Hybrid Permanent

Software Engineer

This role involves building and scaling the Frontier Decision Intelligence platform, focusing on creating enterprise-grade AI solutions for high-impact sectors like healthcare and life sciences. You'll work across full-stack development with Python and TypeScript, designing APIs and SaaS user experiences while collaborating in cross-functional squads. The position emphasizes technical ownership, scalable architecture, and solving complex real-world problems using state-of-the-art tools and practices.

Faculty AI London, United Kingdom

Hybrid Permanent

Customer Director - Professional Services

Leads AI transformation initiatives for professional services firms, building strategic relationships with C-suite stakeholders and guiding multidisciplinary teams to deliver production-grade AI solutions. Focuses on automating complex knowledge work and scaling enterprise-wide AI adoption in regulated environments. Shapes go-to-market strategy and drives commercial growth through high-impact client engagements and thought leadership.

Faculty London, United Kingdom

On-site Permanent

Forward Deployed Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. You'll work across the full ML lifecycle, design scalable software architecture, and act as a technical advisor to translate complex concepts for stakeholders. The role emphasizes operationalising models, defining deployment standards, and delivering bespoke AI solutions in collaboration with cross-functional teams.

Faculty London, United Kingdom

Hybrid Permanent

Staff Backend Software Engineer - GO & Python

Build and maintain a platform for Data Scientists and Simulation Engineers to develop and deploy physics-informed AI models. Work on scalable backend systems using Python and Go, with full ownership from implementation to production. Collaborate closely with cross-functional teams and leverage domain expertise to shape engineering practices in a high-performance, event-driven environment.

PhysicsX London, United Kingdom

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Regional Research Economist, Economic Research

This role involves conducting empirical economic research on AI's impact across labor markets, productivity, and economic transformation, using novel measurement systems and large-scale datasets. The economist will develop region-specific insights through the Anthropic Economic Index, collaborate with external partners, and translate findings into policy recommendations. Work includes methodological innovation in econometrics and machine learning, with a focus on real-world AI adoption patterns and societal outcomes.

Anthropic London, United Kingdom £180,000 – £190,000 pa

On-site Permanent

Staff Software Engineer, Infrastructure (Distributed Systems)

Lead and architect large-scale distributed systems that support AI model training, serving, and security. Work closely with research and product teams to build reliable, scalable infrastructure on Kubernetes and cloud platforms. Drive technical strategy, mentor engineers, and improve operational resilience across high-impact systems.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Performance Engineer (Junior) | AI Infrastructure | Cambridge

This role involves working alongside senior engineers to build performance models and calculators for AI infrastructure, predicting the efficiency and cost-effectiveness of different setups. You'll work with real metrics from live training and inference jobs, using your strong background in computer architecture and experience with GPU code and profiling tools.

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £55,000 – £70,000 pa

Hybrid

Senior Performance Engineer | AI Infrastructure | Cambridge

This role involves working between research and engineering teams to build performance models and calculators that optimize AI infrastructure. You'll analyze real-world training and inference runs to provide actionable insights that influence hardware and system decisions for the organization and its members.

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £90,000 – £120,000 pa

Hybrid