Latest ml scientist Jobs

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Senior Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX United Kingdom

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, from scoping to production deployment. Bridge technical and business stakeholders, define MVPs, manage stakeholder expectations, and codify reusable playbooks. The role combines technical leadership with executive engagement to drive successful AI adoption in complex environments.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Research Leader (DMPK), Cambridge, MA

Lead DMPK strategy for drug discovery projects using an AI-first approach, integrating quantitative pharmacology and ADME data to guide candidate selection. Develop predictive models, optimise molecule design in collaboration with chemistry teams, and support regulatory submissions. Work within a multidisciplinary team to advance novel therapeutics from hit identification to first-in-human trials.

Isomorphic Labs Cambridge, United Kingdom

Research Leader (Toxicology), Cambridge, MA

Lead toxicology strategy in an AI-driven drug discovery environment, designing safety assessment frameworks and predictive models to reduce reliance on animal testing. Collaborate with machine learning teams to integrate toxicology insights into a digital drug design engine, while mentoring junior scientists and guiding regulatory submissions for small molecules and biologics.

Isomorphic Labs Cambridge, United Kingdom

AI Safety Engineer (Data)

This role involves building and managing datasets and evaluation systems for AI safety, translating policy into data criteria, and creating scalable processes for model assessment. The candidate will work hands-on with real-world data, design labelling workflows, and develop Python/SQL pipelines to support training and monitoring of AI models in production. Collaboration with safety researchers, engineers, and policy teams is central to the role.

ElevenLabs London, United Kingdom

Hybrid Permanent

Senior Software Engineer, Chem-Bio

Design and build robust platform systems to support AI research on chemical and biological risks, translating complex research needs into scalable infrastructure. Develop evaluation frameworks, LLM-based agent systems, and shared tooling in Python, collaborating closely with interdisciplinary researchers. Drive engineering excellence through architecture, mentorship, and infrastructure improvements within a government-embedded technical team.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required

Member of Technical Staff, Multilingual

This role involves advancing multilingual large language models through research and engineering, focusing on improving performance across diverse languages and NLP tasks. You'll design scalable systems, publish cutting-edge research, and mentor team members in a globally impactful AI initiative. The position emphasizes technical rigor, innovation in language technology, and collaboration within a world-class team.

Cohere London, United Kingdom

Remote Permanent

Machine Learning Engineer (Safety)

As a Machine Learning Engineer, you will build and deploy production-grade ML systems, collaborate with cross-functional teams to solve critical client challenges, and lead technical scoping and architectural decisions. You will work on high-stakes, high-impact missions in national security and AI safety, ensuring AI is secure, trustworthy, and safe for all.

Faculty London, United Kingdom

Hybrid Permanent

Forward Deployed Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. You'll work across the full ML lifecycle, design scalable software architecture, and act as a technical advisor to translate complex concepts for stakeholders. The role emphasizes operationalising models, defining deployment standards, and delivering bespoke AI solutions in collaboration with cross-functional teams.

Faculty London, United Kingdom

Hybrid Permanent

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

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to develop AI-driven solutions for engineering and manufacturing challenges. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. The position requires strong software engineering practices and customer-facing delivery, with opportunities for international travel.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Machine Learning Engineer, Synthetic Data

This role involves building, scaling, and optimizing next-generation world model architectures for synthetic data generation to accelerate autonomous vehicle development. You will collaborate with researchers and engineers to integrate synthetic data into training pipelines, diagnose and fix generation issues, and expand coverage to new vehicle platforms and safety-critical scenarios.

Wayve London, United Kingdom

Hybrid Permanent

Member of Technical Staff, Integration/RL Team (Research Engineer)

This role involves developing and scaling machine learning algorithms and infrastructure for large-scale, distributed reinforcement learning. You will design and implement high-performance software, optimize post-training algorithms, and collaborate with engineering and scientific teams to enhance the quality of the post-training codebase.

Cohere London, United Kingdom

Remote Permanent