Latest data scientist Jobs

Frontend Engineer

Design and develop client-facing web applications that visualize insights from data science and machine learning models, collaborating with cross-functional teams in government and public sector projects. Build and maintain reusable frontend components and drive best practices across the organization. Work within secure environments requiring UK Security Clearance, with a focus on scalable, well-tested React and TypeScript applications.

Faculty 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

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Senior Forward Deployed Software Engineer

A Senior Forward Deployed Software Engineer at PhysicsX works directly with customers and internal teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers also contribute to the core platform by abstracting reusable components from customer solutions and shaping product direction.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Software Engineer

This role involves leading backend and edge/IoT engineering efforts to build production-grade AI systems for high-stakes defence applications. The engineer will bridge machine learning research with robust software delivery, using Python and compiled languages like Rust or C++, while implementing scalable CI/CD, containerisation, and Kubernetes deployments. Collaboration with data scientists and mentoring of engineering peers are key aspects of the position.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Senior Scientist (In vitro / Cellular Pharmacology), Cambridge, MA

This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on biophysical, biochemical, and cellular assays. The scientist will bridge computational predictions with experimental validation, working closely with AI/ML teams and CROs to advance oncology and immunology projects from early discovery to clinical development. Key responsibilities include guiding assay development, interpreting complex pharmacological data, and supporting lead optimization across multiple therapeutic areas.

Isomorphic Labs England

Hybrid Permanent

Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA

This role involves leading translational biology strategies in oncology and immunology, bridging AI-driven drug design with experimental validation. You will design in vivo pharmacology studies, develop biomarker strategies, and manage CRO partnerships to generate robust data for clinical translation. The position plays a key role in advancing drug candidates from discovery through to clinical development by integrating biological insights with machine learning predictions.

Isomorphic Labs England

Hybrid Permanent

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

Machine Learning Scientist (KTP Associate) in AI-Driven Peptide Design

This role involves developing an AI platform to generate and predict properties of novel peptide sequences, working closely with AstraZeneca and Queen Mary University of London. The position is based at AstraZeneca's Discovery Centre in Cambridge, with periodic travel to DERI for research and training.

Queen Mary University of London London, United Kingdom £38 – £50 pa

Contract

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

Machine Learning Scientist – Sequence Modelling

Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.

Relation Therapeutics London, United Kingdom

Permanent