Latest Data Scientist Jobs

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance credit underwriting, using non-traditional data and advanced neural networks. Translate R&D into production systems while mentoring junior scientists and collaborating with stakeholders. Work across structured and unstructured data, including time series and text, to deliver predictive insights.

Capital One Leicester, Leicestershire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development of deep learning models to enhance underwriting capabilities, focusing on non-traditional data and advanced neural networks. Translate R&D into production solutions while mentoring junior scientists and collaborating across functions. Work with time series, text, and multi-modal data using frameworks like PyTorch and TensorFlow.

Capital One Spondon, Derbyshire, United Kingdom

Software Engineer

This role involves building and owning core platform capabilities, developing full stack applications using Python, React, and TypeScript, and integrating AI and LLM-powered workflows into production environments. You will collaborate closely with Product Managers, Data Scientists, and business stakeholders to translate ambiguous business problems into scalable software solutions.

Harnham - Data and Analytics Recruitment Usa, United Kingdom US$200,000 – US$225,000 pa

Senior Machine Learning Engineer

This role involves designing, building, and deploying machine learning models into production environments. You will work closely with data scientists and engineers to develop robust, scalable solutions that drive commercial outcomes, with a focus on MLOps, DevOps, and cloud platforms.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £110,000 pa

Hybrid 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

Senior Forward Deployed Engineer

Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.

Faculty London, United Kingdom

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

Full Stack Software Engineer

Design and build full-stack AI-powered applications, translating machine learning outputs into production-ready systems. Collaborate with data scientists and product managers to deliver scalable, user-centric solutions for global clients in regulated industries. Focus on robust architecture, cloud deployment, and client-facing technical leadership.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering problems for clients across aerospace, energy, automotive, and other advanced industries. You'll work closely with customers on-site and collaborate with data scientists and engineers to design, prototype, and iterate tools that transform engineering workflows. The position emphasizes end-to-end ownership, rapid development, and translating real-world engineering challenges into impactful software solutions using modern cloud-native technologies.

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

Hybrid Permanent

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 traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

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

Lead translational strategies for oncology and immunology programs by designing in vivo pharmacology and PK/PD studies, bridging computational predictions with experimental validation. Work across CROs to generate robust data for candidate selection and clinical translation, integrating biomarker strategies and informing first-in-human trial design.

Isomorphic Labs England

Staff Research Scientist- Interactive Avatars

As a Staff Research Scientist, you will work on the cutting edge of generative AI, focusing on interactive avatars that can engage in natural, real-time conversations. Your responsibilities include setting the research direction, advancing the state of the art in perceptual layers, and building robust evaluation frameworks.

Synthesia London, United Kingdom

Remote Permanent

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

Machine Learning Scientist, Generative Modelling

Develop machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions and inform therapeutic strategies. Work at the intersection of generative modelling and experimental biology, collaborating closely with wet-lab scientists to translate biological questions into modelling problems and interpret results in meaningful ways. Contribute to the research roadmap and advance the biological coherence of model evaluation beyond standard metrics.

Relation Therapeutics London, United Kingdom

On-site Permanent

Machine Learning Scientist – Sequence Modelling

A Machine Learning Scientist will develop and apply advanced sequence modelling techniques to DNA and genetic data to uncover associations between genetic variants and diseases. The role involves building and evaluating ML models for variant interpretation, gene discovery, and regulatory modelling, in close collaboration with computational and experimental scientists. Work is grounded in real-world therapeutic discovery, leveraging both internal and large-scale external genomics datasets.

Relation Therapeutics London, United Kingdom

Permanent