Latest Data Science Jobs

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom

CFD Engineer

The role involves building and refining high-fidelity CFD models from geometry cleanup to post-processing, supporting AI-driven simulation workflows for diverse engineering applications. You'll work closely with data scientists and customers to generate simulation datasets, automate pipelines using CAD and Python, and contribute to scalable, ML-integrated CAE solutions. The position emphasizes hands-on technical delivery, collaboration, and growing autonomy in a startup environment with hybrid working in London.

PhysicsX London, United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Research Scientist (Applied LLMs), London

A Research Scientist role focused on applying Large Language Models to drug discovery challenges, working within an interdisciplinary team of AI and life sciences experts. The position involves developing novel LLM-driven methods, refining models for biological and medical applications, and collaborating across scientific domains. The role requires deep technical expertise in LLMs and a strong foundation in machine learning and computational science.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), London

A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

C# Developer - Front Office Engineering Hedge Fund - London - eFinancialCareers

This role involves designing, building, and enhancing high-impact trading and research platforms in a fast-moving, highly technical environment. You will work closely with quants, traders, and the CTO, contributing to core trading systems, front-office tooling, and data-driven applications using C# and .NET.

eFinancialCareers London, United Kingdom

On-site Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Customer Director (Maritime)

Lead the creation and growth of a dedicated maritime AI solutions unit for defence clients, including the Royal Navy and NATO/AUKUS. Act as a strategic entrepreneur to identify high-value opportunities, develop AI-driven propositions for naval challenges, and oversee end-to-end delivery of transformational technology projects. Requires deep maritime domain expertise and the ability to build trusted relationships with senior stakeholders in high-stakes environments.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Machine Learning Engineer (Safety)

As a Machine Learning Engineer, you will build and deploy production-grade ML systems, collaborate with cross-functional teams to solve critical client challenges, and lead technical scoping and architectural decisions. You will work on high-stakes, high-impact missions in national security and AI safety, ensuring AI is secure, trustworthy, and safe for all.

Faculty London, United Kingdom

Hybrid Permanent

Senior Manager (Safety)

This role involves leading the delivery of AI safety evaluations and red teaming projects, forming strong relationships with clients and technical partners, and advising on AI safety strategy. The position requires a deep understanding of applied AI safety, commercial consulting, and the ability to bridge technical research with strategic business challenges.

Faculty London, United Kingdom

Hybrid Permanent

Researcher, Training - London

This role involves advancing large language model (LLM) development through research and experimentation, focusing on architecture design, optimization, and scaling. The researcher will work on improving model intelligence and efficiency, contributing to both training infrastructure and inference systems. Based in London with a hybrid work model, the position emphasizes hands-on empirical work and collaboration within a cutting-edge AI research environment.

OpenAI London, United Kingdom

Hybrid Permanent

AI Engineer (Agentic Systems)

Design and build LLM-powered agentic workflows that help generate testable therapeutic hypotheses for rare diseases by reasoning over scientific data, knowledge graphs, and proprietary methods. Collaborate closely with drug discovery scientists and engineers to translate real-world problems into reliable, production-grade agent systems. Work within an existing agentic framework to enhance and scale AI-driven decision-making in drug discovery.

Healx Cambridge, United Kingdom

Hybrid Permanent

Member of Technical Staff, Multilingual

This role involves advancing multilingual large language models through research and engineering, focusing on improving performance across diverse languages and NLP tasks. You'll design scalable systems, publish cutting-edge research, and mentor team members in a globally impactful AI initiative. The position emphasizes technical rigor, innovation in language technology, and collaboration within a world-class team.

Cohere London, United Kingdom

Remote Permanent

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent