Latest Research Scientist Jobs

Spotlight

Programme Manager (Forward Deployed)

Act as a Programme Manager embedded within a client's technology programme, owning delivery while identifying inefficiencies that can be automated using AI. You'll run programme governance, manage risks and dependencies, and prototype AI workflows to solve real delivery bottlenecks. The role blends hands-on client delivery with innovation to scale solutions through the M-1 platform.

M-1 Intelligence London, United Kingdom £60,000 – £75,000 pa

Remote Permanent

Research Scientist

This role involves conducting original research in AI safety, focusing on interpretability and behavioral analysis of transformer-based large language models. You'll design and run experiments, develop reproducible research tooling in Python with PyTorch, and translate technical findings for government, frontier labs, and national security partners. The position emphasizes scientific rigor, collaboration with senior researchers, and contributing to emerging AI safety standards.

Faculty London, United Kingdom

Permanent

Research Scientist/Engineer - General Decision & Control Agent

This role involves advancing autonomous AI agent systems with a focus on long-term reasoning, memory, self-improvement, and reinforcement learning. The researcher will design scalable memory architectures, develop self-evolving agent capabilities, and contribute to novel research in agentic RL and LLM-based reasoning. Work is conducted in a high-impact research environment with publication and innovation as core goals.

Adecco London, City And County Of the City Of London, United Kingdom £100,000 – £180,000 pa

Research Scientist (Applied LLMs), London

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

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 an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

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Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, spatial intelligence, and scalable decision-making. You'll develop foundation models, reinforcement learning systems, and sim-to-real transfer techniques in a multidisciplinary environment. The work spans simulation, robotics, and real-world deployment, with a focus on long-horizon prediction and cross-embodiment learning.

Wayve London, United Kingdom

On-site Permanent

Research Scientist, AI RL and LLMs

This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. You'll co-develop models that enhance memory, task horizon, and general intelligence in vision-language models, with a strong emphasis on open-sourcing code and publishing high-impact research. The position is embedded in NVIDIA's AI research team in Zurich, focusing on long-term breakthroughs in AI.

NVIDIA Switzerland

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing models with enhanced memory and task capabilities, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a leading AI research team focused on long-term breakthroughs in intelligent machines.

NVIDIA

Senior Research Scientist - AI Safety

This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Senior Research Scientist - AI Safety Evaluations

Lead the development of advanced AI safety evaluations to assess risks in critical domains like CBRN and cybersecurity. Conduct original research from concept to publication, shape methodological strategy, and collaborate with frontier labs and government stakeholders. Focus on rigorous, scientifically grounded approaches to red-teaming, robustness testing, and evaluation design.

Faculty London, United Kingdom

Permanent

Control Red Team - Research Engineer/Research Scientist

This role involves designing and conducting machine learning experiments to evaluate the effectiveness of AI control measures such as monitors, sandboxing, and permission systems. The researcher will develop adversarial attacks to test frontier AI models, build experimental infrastructure, and produce actionable insights for both companies and government stakeholders. Work combines technical depth in ML with strategic red-teaming to uncover real-world risks in advanced AI systems.

AI Security Institute London, United Kingdom

Misuse Red Team - Research Engineer/Research Scientist

This role involves researching and developing novel attack vectors against large language model safeguards to identify vulnerabilities before malicious actors can exploit them. You'll design automated attack systems, evaluate LLM robustness through methods like jailbreaking and data poisoning, and collaborate with leading AI labs to improve defenses. The work directly informs policy and safety practices at frontier AI companies and government levels.

AI Security Institute London, United Kingdom

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent