Latest ml scientist Jobs

Research Engineer (LLM Performance), London

This role involves advancing large language models for drug discovery by optimizing post-training methods, scaling frontier AI systems, and solving performance bottlenecks in distributed training and inference. The engineer will collaborate with interdisciplinary teams to translate research into production-ready systems, applying low-precision techniques and performance optimization strategies to real-world drug design challenges. Work focuses on improving model efficiency and scalability within a mission-driven environment combining AI and computational biology.

Isomorphic Labs London, United Kingdom

Senior Forward Deployed Engineer

Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.

Faculty London, United Kingdom

Permanent

Software Engineer (Safety)

As a Software Engineer in Faculty's National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, focusing on AI safety and responsible development.

Faculty London, United Kingdom

Permanent

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £190,000 pa

On-site Permanent Clearance Required

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

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

On-site Permanent Clearance Required

Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading the technical strategy for AI inference solutions across EMEA, working closely with AI-native customers and frontier labs. The Senior Solutions Architect will design and optimize high-performance inference pipelines using NVIDIA's latest technologies, addressing challenges in latency, efficiency, and scalability. Key responsibilities include translating customer deployment insights into product feedback and driving the evolution of NVIDIA’s inference stack.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for large-scale AI inference deployments across EMEA, working closely with frontier AI labs and enterprises. Architect and optimize high-performance inference pipelines using NVIDIA's stack, including TensorRT-LLm, vLLM, and Dynamo, while translating real-world deployment challenges into product improvements. Drive end-to-end engagements from proof of concept to production at scale, focusing on efficiency, latency, and GPU utilization.

NVIDIA PLN 292,500 – PLN 650,000 pa

Engineering Manager, AI

This role involves leading an Applied AI and Data Science team, focusing on technical delivery, team development, and hands-on engineering. Responsibilities include managing priorities, mentoring team members, and developing AI systems using technologies like LLMs, RAG, and NLP. The position offers a blend of technical and leadership responsibilities in a globally recognized organization.

167 Solutions London, United Kingdom £150,000 – £170,000 pa

Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will lead technical scoping, build production-grade API integrations, and ensure seamless deployment within enterprise environments. They will also act as a technical liaison, gathering feedback to inform product and research improvements while working on-site with international partners.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

AI Engineer (Agentic Systems)

Design and build LLM-powered agentic workflows that help generate testable therapeutic hypotheses for rare diseases by reasoning over scientific data, knowledge graphs, and proprietary methods. Collaborate closely with drug discovery scientists and engineers to translate real-world problems into reliable, production-grade agent systems. Work within an existing agentic framework to enhance and scale AI-driven decision-making in drug discovery.

Healx Cambridge, United Kingdom

Hybrid Permanent

Member of Technical Staff, Applied AI

Develop and deploy proprietary generative AI models into pharmaceutical and biotech customer environments, bridging deep technical understanding with production engineering. Collaborate closely with researchers and customer teams to adapt models, build robust ML pipelines, and deliver performant, secure inference systems. The role involves translating scientific requirements into technical solutions and feeding insights back into model development.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Manager, Technical Deployment

This role involves managing a team of Technical Deployment Leads in the Financial Services sector, ensuring successful AI project delivery, and building strong relationships with executive stakeholders. Responsibilities include hiring, setting delivery standards, and leading complex engagements.

Anthropic London, United Kingdom

Technical Lead Manager, Synthetic Data

Lead a team of machine learning engineers to develop and scale synthetic data generation using generative world models like GAIA for autonomous driving research. Focus on rig and pose transfer, scalable generation infrastructure, and integrating synthetic data into training pipelines to reduce reliance on real-world data collection. Work closely with researchers and engineers to validate impact on driving model performance.

Wayve London, United Kingdom

University Assistant/Associate Professor in Artificial Intelligence and Machine Learning

This role involves conducting cutting-edge research in AI and machine learning, developing innovative graduate content, and contributing to undergraduate teaching. The appointee will build a world-class team, secure research funding, and collaborate across disciplines.

University of Cambridge Cambridge, South East England, United Kingdom £63 – £67 pa

Permanent

Senior Research Investigator, (Biologics Pharmacology), London

This role involves leading pharmacology and translational biology strategy for biologics drug discovery, designing in vivo and in vitro studies, and guiding candidates from early discovery to clinical advancement. The candidate will work closely with AI and computational teams to integrate experimental data into generative AI models, driving innovation in protein-based therapeutics across immunology, oncology, and inflammation. Collaboration with CROs and academic partners is central to progressing high-impact projects.

Isomorphic Labs London, United Kingdom

On-site Permanent