Latest data science scientist Jobs

Sr. Manager, Data Science , GBR)

Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers, engineers, and product teams to solve complex, real-world adversarial problems using cutting-edge AI techniques.

CrowdStrike United Kingdom

Remote

Sr. Manager, Data Science , GBR)

Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral analysis, and AI-driven threat response. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers and engineers to innovate in a high-impact, adversarial environment processing trillions of daily events.

CrowdStrike

Remote

Senior 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 traveling to client sites to implement solutions on-site. The position focuses on turning research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

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

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site 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 Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable Agentic AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into technical AI solutions across enterprise environments.

NVIDIA

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platform, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement complex AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. A strong focus is placed on evangelizing accelerated computing and Agentic AI through technical engagement and solution design.

NVIDIA

AI & Property Data Scientist - KTP Associate

Work on a 28-month KTP project to develop an AI platform that extracts structured building data from UK planning drawings, improving risk assessment for insurers and property stakeholders. Operate at the intersection of AI, computer vision, and property data, with responsibilities spanning research, development, and commercialisation. Collaborate closely with both academic supervisors and an InsurTech scale-up, balancing technical experimentation with real-world application.

University of Exeter Exeter, Hybrid, South West England, United Kingdom £33 – £43 pa

Contract

Senior Machine Learning Scientist

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid 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

Research Leader / Senior Scientist (Computational Drug Design), Cambridge, MA

This role involves leading drug discovery programs using AI-driven computational chemistry, either as a Program Lead or Computational Chemistry Lead. You'll shape Isomorphic Labs' AI platform by integrating cutting-edge machine learning into cheminformatics workflows, guide projects from hit identification to candidate selection, and collaborate across disciplines. The position emphasizes scientific leadership, technical innovation, and mentorship within a culture focused on transforming drug discovery through AI.

Isomorphic Labs Cambridge, United Kingdom

Hybrid 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

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

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom