Latest Research 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

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 candidate will conduct foundational research to develop scalable, evolvable agents capable of continuous learning and decision-making in complex environments. Work includes designing memory architectures, self-evolving frameworks, and RL-driven optimisation, with opportunities to publish and contribute to AGI progress.

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

Research Associate in Machine Learning (Fixed Term)

Develop and evaluate AI-powered weather forecasting systems for African farming communities, focusing on sub-seasonal and spatio-temporal models. Design modular deep learning architectures integrating remote sensing and numerical data, and collaborate with UK and African partners to operationalize solutions. Work within an end-to-end forecasting team to publish results and support field testing in Ghana and Senegal.

University of Cambridge Cambridge, South East England, United Kingdom £37 – £46 pa

On-site Contract

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

Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, reinforcement learning, and 3D spatial understanding. The scientist will develop foundation models, scalable decision-making systems, and sim-to-real transfer techniques, working at the intersection of machine learning, robotics, and simulation. The position emphasizes long-horizon prediction, cross-embodiment learning, and evaluation framework development in a research-driven environment.

Wayve London, United Kingdom

On-site Permanent

Research Leader / Senior Scientist (Medicinal Drug Design), Cambridge, MA

Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Collaborate closely with machine learning scientists to refine predictive models, guide programs from hit identification to candidate selection, and manage external research partners. The role emphasizes innovation in structure-based and fragment-based design within a dynamic, interdisciplinary environment.

Isomorphic Labs Cambridge, United Kingdom

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 Program Manager

The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, engineering, and external partners, maintaining roadmaps, driving delivery rhythms, and enabling breakthroughs in AI-driven physics simulation. The position blends strategic coordination with technical fluency in a fast-scaling environment.

PhysicsX London, United Kingdom

Research Scientist/Engineer - Multimodal AI & LLM

Research Scientist / Research Engineer - Multimodal AI & Large Language ModelsLocation: LondonSalary: £(phone number removed) per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-siteAbout the OpportunityWe are partnering with an innovative research organisation at the forefront of...

Adecco London, United Kingdom

Research Scientist

Conducts original research in AI safety, focusing on interpretability and behavioral analysis of transformer-based large language models. Designs and runs experiments, develops reproducible research tooling in Python/PyTorch, and translates technical findings for government, frontier labs, and national security partners. Publishes results in academic papers and technical reports while collaborating with senior scientists to shape emerging AI safety standards.

Faculty 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

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative with research and engineering teams, focusing on empirical science to advance steerable and safe AI systems.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Hybrid 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. The scientist will co-develop models to enhance memory, task horizon, and general intelligence in vision-language and LLM architectures, with a strong emphasis on open-sourcing code and publishing high-impact research. Based in Zurich, the position operates at the intersection of theoretical innovation and practical implementation in AI.

NVIDIA Switzerland

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models, focusing on advancing general intelligence in AI systems. Collaborate on developing novel models, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a world-leading AI research team pushing the boundaries of machine learning and intelligent systems.

NVIDIA

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

Researcher, Training - London

This role involves advancing large language model (LLM) development through research and experimentation, focusing on architecture design, optimization, and scaling. The researcher will work on improving model intelligence and efficiency, contributing to both training infrastructure and inference systems. Based in London with a hybrid work model, the position emphasizes hands-on empirical work and collaboration within a cutting-edge AI research environment.

OpenAI London, United Kingdom

Hybrid Permanent