Latest ml scientist Jobs

Spotlight

ML Runtime Engineer

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge research with practical engineering implementation. Work on geometric deep learning, diffusion models, and 3D representations in biological systems, translating scientific ideas into deployable tools. Collaborate closely with engineers and scientists in a hybrid London-based role focused on high-impact AI for life sciences.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

Research Scientist (Applied LLMs), London

A Research Scientist role focused on applying Large Language Models to drug discovery challenges, working within an interdisciplinary team of AI and life sciences experts. The position involves developing novel LLM-driven methods, refining models for biological and medical applications, and collaborating across scientific domains. The role requires deep technical expertise in LLMs and a strong foundation in machine learning and computational science.

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 a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists focused on computer vision and machine learning, developing production-grade models for document understanding, vision-language systems, and efficient on-device inference. Work at the intersection of research and product, advancing state-of-the-art techniques like distillation and quantisation while shipping models into global identity verification systems used by banks and fintechs.

Entrust London, United Kingdom

On-site Permanent

Lead Machine Learning Engineer

This role involves leading a team of machine learning engineers while maintaining hands-on technical contributions to ML system design, deployment, and continuous improvement. The position shapes engineering best practices, mentors junior staff, and leads cross-functional teams through the full lifecycle of AI/ML projects—from discovery to production. It also includes supporting pre-sales efforts and ensuring robust, scalable solutions are delivered with clear communication to non-technical stakeholders.

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

Hybrid Permanent

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent

Research Data Engineer

Design and build scalable data systems for multi-modal scientific data, enabling efficient analysis and machine learning in a high-performance research environment. Focus on data pipeline architecture, storage optimization, and seamless integration between wet lab and ML teams. Work across cloud-native infrastructure to support large-scale, GPU-intensive model training and rapid iteration.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Data Scientist (AI / ML) - Near Edinburgh - 42K, Bonus

Design and implement machine learning models within an R&D-driven environment, translating technical outcomes into actionable insights for stakeholders. Collaborate with product teams and external partners to integrate AI solutions into globally used products. Focus on innovation, experimentation, and continuous improvement in a hybrid work setting.

Lorien Stockbridge, City Of Edinburgh, Edinburgh, United Kingdom £35,000 – £42,000 pa

Hybrid

Senior CFD Engineer - Plasma Specialist

This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, integrating them with AI-driven simulation tools. The engineer will work directly with customers on-site, validate models against real-world data, and collaborate with data science and ML teams to deliver actionable engineering solutions. The position emphasizes technical ownership, cross-functional collaboration, and global travel to support customer implementations.

PhysicsX London, United Kingdom

Hybrid 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

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

This role involves designing and building machine learning models for large-scale recommendation systems that match job seekers with opportunities and recruiters with talent across Amazon. You'll work on fair and explainable AI systems, using techniques like representation learning and reinforcement learning, while collaborating with engineers and scientists. The position emphasizes scientific rigor, scalability, and improving hiring outcomes through data-driven innovation.

Amazon Edinburgh, Alba / Scotland, United Kingdom

Hybrid Permanent

Data Scientist II, Alexa for Shopping Science UK

This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and advanced machine learning techniques. The Data Scientist will analyze vast datasets to improve customer interactions with Alexa for Shopping, focusing on NLP, recommender systems, and knowledge graphs. Collaboration with engineers and scientists is key to deploying scalable solutions and driving product innovation through experimentation and data insights.

Amazon London, United Kingdom

Hybrid Permanent

Data Scientist

Job Title: Data ScientistLocation: London (Hybrid)Type: PermanentOverviewWe are supporting a rapidly growing organisation that is currently looking for a Data Scientist to help with several new projects.You will be responsible for working with senior stakeholders to understand business problems and...

Infused Solutions London, United Kingdom £46,000 – £56,000 pa

Data Scientist

This role involves building and deploying pricing models to drive revenue growth, using causal inference and statistical rigor to evaluate pricing decisions. The data scientist will work across revenue management, CRM, and machine learning engineering, delivering quick wins and advancing the model roadmap with minimal ramp-up time. Key focus areas include applying quasi-experimental methods to real-world pricing data and managing concurrent workstreams in a dynamic environment.

The Guardian London, United Kingdom

Research Scientist (Biological Models), Chem-Bio

This role involves conducting empirical research on the risk-relevant capabilities of specialised biological AI models, such as those for protein design and genomic analysis. The researcher will design experiments to assess in-silico performance, evaluate whether computational results translate to real-world biological outcomes, and investigate technical safeguards against misuse. Working at the intersection of machine learning, computational biology, and biosecurity, the role requires translating complex technical findings into actionable insights for government and policy stakeholders.

AI Security Institute London, United Kingdom