Latest research engineer Jobs

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability of NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and collaborate with open-source communities to optimize large-scale AI infrastructure.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves optimizing and scaling NVIDIA's DGX Cloud software stack, focusing on Kubernetes and distributed AI infrastructure. The engineer will diagnose performance bottlenecks, build automated testing frameworks, and collaborate with AI teams and open-source communities to enhance large-scale AI workloads. Key responsibilities include end-to-end system analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Member of Technical Staff, Safety for Agents

This role focuses on improving the safety, fairness, and trustworthiness of next-generation large language models that interact with external resources and take autonomous actions. You'll design and implement data generation strategies, post-training algorithms, and evaluation methods, working closely with ML, policy, and product teams. The position emphasizes hands-on experimentation, statistical rigor, and responsible AI practices in a highly autonomous, research-driven environment.

Cohere London, United Kingdom

Hybrid Permanent

Quantitative Researcher

Develop predictive models using high-frequency and alternative data to generate alpha in equities and futures markets. Work closely with developers to implement and optimize ML-driven trading signals, leveraging cutting-edge techniques in deep learning, NLP, and tree-based models within a collaborative research environment.

eFinancialCareers London, United Kingdom £200,000 pa

On-site Permanent

Systematic Volatility Quant Researcher - London

This role involves conducting end-to-end systematic volatility research, from alpha signal generation to execution optimization. You will develop, backtest, and refine volatility-based trading strategies across asset classes, working closely with traders and portfolio managers to enhance trading efficiency and performance.

eFinancialCareers London, United Kingdom

On-site Permanent

Customer Director

This role involves leading strategic AI initiatives for major Life Sciences clients, driving commercial growth and client success. The Customer Director will manage cross-functional teams, develop long-term account strategies, and act as a trusted advisor to senior stakeholders, translating complex AI solutions into impactful business outcomes in a high-stakes, innovation-driven sector.

Faculty AI London, United Kingdom

Hybrid Permanent

Technical Director of AI Safety

This role involves leading Faculty AI's technical strategy and research in AI safety, with a focus on red teaming, risk mitigation, and developing cutting-edge evaluations for frontier models. The Technical Director will build and lead a high-performing R&D team, shape global AI safety practices in collaboration with leading labs and governments, and translate research into real-world impact. It is a senior leadership position combining deep technical expertise, strategic vision, and influence in the international AI safety landscape.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Data Scientist (Platform Development)

This role involves leading the development of data science pipelines and methodologies within a life science start-up. Responsibilities include algorithm development, maintaining data analysis pipelines, and implementing best practices in data analysis to generate insights from scientific data.

ECM Selection Cambridge, Cambridgeshire, United Kingdom

Bioanalytical Lead, London

This role involves leading bioanalytical strategy for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and Antibody-Drug Conjugates. The candidate will design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate wet-lab data with AI models to accelerate preclinical development. They will also author regulatory submissions and ensure compliance across non-GLP and GLP environments.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Senior QA Auditor - 60% - 80%

The Senior QA Auditor will lead analytical and problem-solving activities to ensure compliance with GCP and GMP standards in clinical research and manufacturing. Key responsibilities include managing batch records, conducting audits, investigating deviations, and maintaining the Quality Management System (QMS).

Healx Cambridge, United Kingdom

Hybrid Permanent Part-time

Early Career) Information Scientist

Transform scientific content and data into actionable insights using data science and AI-driven techniques within a pharmaceutical R&D environment. Develop automated pipelines for content analytics, apply NLP and machine learning to mine and summarise scientific text, and collaborate with cross-functional teams on information projects. Support data governance and responsible AI initiatives while working in a hybrid setup with at least two days per week onsite.

Carbon 60 Slough, Berkshire, United Kingdom £26 – £31 ph

Hybrid Contract

Machine Learning Scientist – Sequence Modelling

About RelationRelation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly...

Relation Therapeutics London, United Kingdom

Permanent

Senior Data Scientist – Statistical Genetics

This role involves leading statistical and population genomics analyses to drive target identification and validation in drug discovery. The scientist will develop and apply advanced methodologies using large-scale human genetics data, integrate findings with multi-omics datasets, and collaborate closely with experimental and machine learning teams. The position emphasizes technical leadership, reproducible computational workflows, and translating genetic insights into actionable therapeutic hypotheses.

Relation Therapeutics London, United Kingdom

Hybrid Permanent