Latest Data Scientist cambridge Jobs

Lead Data Scientist /Deep Learning Practitioner

Lead the development of deep learning models to enhance underwriting capabilities, using non-traditional data and advanced neural networks like LSTMs and Transformers. Translate research into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data to deliver predictive insights that drive business impact.

Capital One Spondon, Derbyshire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources and advanced neural architectures. Translate research prototypes into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data, applying techniques like LSTMs, RNNs, and Transformers.

Capital One Leicester, Leicestershire, United Kingdom

Sr. Data Scientist - Gen AI

Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.

CrowdStrike

Remote

Research Scientist - Interactive Avatars

As a Research Scientist, you will join a team of 40+ researchers and engineers to develop cutting-edge generative AI models for interactive avatars. Your focus will be on advancing the state of the art in dyadic interaction modeling, building models that can hold natural, real-time conversations, and generating contextually appropriate reactions to user inputs.

Synthesia London, United Kingdom

Remote Permanent

Applied Scientist/Machine Learning Engineer Gaia

Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.

Wayve London, United Kingdom

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Research Scientist - Large Geometry Models

This role involves owning a research work-stream focused on 3D geometry representation and generation, designing and training generative models, and working with ML and simulation engineers to solve complex engineering challenges. You will also champion research directions and mentor junior colleagues.

PhysicsX London, United Kingdom

Research Scientist, AI RL and LLMs

This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. You'll co-develop models that enhance memory, task horizon, and general intelligence in vision-language models, with a strong emphasis on open-sourcing code and publishing high-impact research. The position is embedded in NVIDIA's AI research team in Zurich, focusing on long-term breakthroughs in AI.

NVIDIA Switzerland

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing models with enhanced memory and task capabilities, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a leading AI research team focused on long-term breakthroughs in intelligent machines.

NVIDIA

Principal Research Scientist - AI Safety

Lead and shape the scientific research agenda for AI safety, focusing on large language models and safety-critical systems. Conduct high-impact research, publish in top-tier venues, and guide red-teaming and evaluation efforts in high-risk domains such as cybersecurity and CBRN. Mentor researchers and position the organisation as a thought leader in responsible AI development.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Staff Research Scientist- Interactive Avatars

As a Staff Research Scientist, you will work on the cutting edge of generative AI, specifically focusing on interactive avatars. Your responsibilities include setting the research direction, advancing the state of the art in perceptual layers, and building models for natural, real-time conversations. You will lead a team, mentor junior researchers, and collaborate with data and engineering teams to turn research into product capabilities.

Synthesia London, United Kingdom £50,000 pa

Remote Permanent

Senior Postdoctoral Research Scientist in AI for Outbreak Response

This role involves developing and validating machine learning models for disease forecasting and scenario modelling, working with public health partners in Nigeria and the DRC to integrate these models into existing workflows. The position is part of the ORCAS project, focusing on AI-driven tools for infectious disease outbreak response.

University of Oxford Oxford, South East England, United Kingdom £49 – £58 pa

On-site Contract

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Staff Research Scientist, Reinforce Learning

This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and development, contributing to the creation of safe and efficient autonomous vehicles.

Wayve London, United Kingdom

Machine Learning Scientist, Generative Modelling

Design and implement machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions. Collaborate closely with wet-lab scientists to translate biological questions into modelling problems and ensure models capture biologically meaningful insights. Contribute to research roadmap development and advance cellular modelling through interdisciplinary collaboration.

Relation Therapeutics London, United Kingdom

On-site Permanent