Latest Data Science Jobs

Senior Simulation Data Engineer

The Senior Simulation Data Engineer will design and operate large-scale data pipelines for AI-driven engineering simulations, orchestrating CFD workflows from geometry preprocessing to ML-ready output. This role involves building robust HPC infrastructure, ensuring data quality, and enabling traceability across the simulation lifecycle. The position bridges research and infrastructure, working closely with scientists and ML engineers in a high-impact, R&D-intensive environment.

PhysicsX London, United Kingdom

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a distributed system that manages thousands of resources across NVIDIA teams. The engineer will create test plans, automate UI and API testing, integrate tests into CI/CD pipelines, and enhance QA workflows using AI-driven tools. A key focus is leveraging Large Language Models and AI techniques to improve test generation, debugging, and validation efficiency in complex, cloud-based environments.

NVIDIA United Kingdom

Developer Relations Manager, Retail & Media Entertainment

This role involves engaging with startups and developers to drive adoption of NVIDIA's AI and generative AI technologies in the retail and media & entertainment sectors. You'll build technical content, support integration with NVIDIA's Gen AI stack, and represent the company at events and customer meetings. The position focuses on accelerating developer success with tools like Triton, TensorRT-LLM, and NeMo while gathering feedback to inform product roadmaps.

NVIDIA Germany

On-site Permanent

Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Drive cross-functional collaboration across drug discovery, computational biology, and clinical teams to advance novel therapies from preclinical stages through clinical proof of concept. Pioneer innovative diagnostic approaches and leverage multi-omic datasets to validate mechanisms of action and resistance in cancer therapies.

Isomorphic Labs Cambridge, United Kingdom

ML Research Engineer, London

This role involves developing and optimizing cutting-edge AI models at the intersection of machine learning and drug discovery. You'll work in a collaborative, interdisciplinary environment to translate research into scalable, production-ready systems, focusing on foundational models like Transformers, GNNs, and Diffusion models. The position emphasizes innovation in computational biology and chemistry, with a strong focus on robust codebases, data pipelines, and full-cycle ML development.

Isomorphic Labs London, United Kingdom

On-site Permanent

Platform Engineer

Design and build secure, scalable cloud infrastructure to support AI and ML workflows in cross-functional teams. Enable data scientists and ML engineers through reusable infrastructure-as-code and best practices. Work with clients to implement cutting-edge solutions using modern DevOps and cloud technologies.

Faculty London, United Kingdom

Hybrid Permanent

Senior AI & Algorithms Engineer (Defence & Security)

This role involves leading the development of advanced AI and machine learning systems for defence and security applications, including signal processing, edge AI, and information processing with transformers. The engineer will deliver data-driven solutions, mentor junior staff, and contribute to client-facing technical proposals and demonstrators. Work includes translating research into deployable systems, with a strong emphasis on technical ownership and innovation in high-stakes domains.

Cambridge Consultants United Kingdom

Hybrid Permanent Clearance Required

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

Computational Protein Designer

This role involves designing functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. The scientist will iteratively optimize protein designs based on lab feedback, contribute to AI model improvement, and help refine data workflows. The position emphasizes interdisciplinary collaboration, scientific rigor, and innovation in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Machine Learning Developer - Quant Strategies

This role involves building statistical models for quantitative strategies in equities and commodities, working closely with business partners to deliver robust solutions. You will become the machine learning authority, attending events and delivering presentations, while operating in a forward-thinking environment with opportunities for personal projects.

Newton Colmore London, United Kingdom

On-site Permanent

Market Risk Product Analyst

This role involves shaping and enhancing a Market Risk product by translating client and stakeholder needs into clear technical requirements. The analyst will work closely with data, software, and financial engineering teams to develop and integrate risk models, design new features, and support client onboarding and product demonstrations. The position emphasizes collaboration, analytical prototyping, and end-to-end ownership of product components within a data-driven financial risk environment.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Financial Risk Analytics FRA Implementation & Support Consultant

This role involves end-to-end client implementation and operational support for Financial Risk Analytics (FRA) solutions, including onboarding, issue resolution, data validation, and coordination across technical and product teams. The consultant ensures smooth delivery of risk-as-a-service offerings, conducts data analysis across large datasets, and supports testing and deployment in alignment with client needs. It combines technical problem-solving with strong client communication and project coordination in a fast-paced financial risk environment.

eFinancialCareers London, United Kingdom

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for clients across energy, infrastructure, and government sectors. The engineer will work on scalable ML solutions, define best practices for deployment, and collaborate with cross-functional teams to deliver real-world AI impact. Emphasis is placed on operationalising models, cloud infrastructure, and translating technical concepts for non-technical stakeholders.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required