Latest data scientist Jobs

Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, 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 technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

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

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with customers on-site and remotely to develop, prototype, and iterate tools that solve complex engineering challenges across aerospace, energy, and manufacturing. Work across backend services, APIs, and cloud infrastructure while contributing to core platform development and shaping product direction based on cross-industry use cases.

PhysicsX London, United Kingdom

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom

Permanent

Research Scientist (Applied LLMs), London

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

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 an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

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

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

R&D Scientist

This role involves leading scientific research projects in applied physics and imaging technology, focusing on X-ray systems, optics, and AI-driven algorithm development. The scientist will use MATLAB extensively for data analysis, modelling, and creating advanced detection solutions. Work spans experimental research, machine learning, and cross-team collaboration to deliver real-world technological innovations.

Euro Projects Recruitment Basford, Nottinghamshire, United Kingdom £30,000 – £40,000 pa

Hybrid Permanent Clearance Required

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

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

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Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by optimizing generative models, ensuring training-grade video output, and integrating synthetic data into real-world training pipelines. Work across GPU-scale infrastructure, 3D geometry, and multi-sensor simulation to accelerate development across new vehicle platforms and safety-critical scenarios.

Wayve London, United Kingdom

Computational Protein Designer

Design and engineer functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. Analyze structural biology and sequence data to generate and refine protein designs, then collaborate closely with wet lab scientists to test and iterate on results. Contribute to model improvement, data systems, and scientific knowledge sharing in a high-impact synthetic biology environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent