4 of 4 Permanent Research Scientist Jobs in London

partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . … hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience ...

partnering exclusively with a pioneering organisation developing next‑generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . … hybrid quantum‑classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands‑on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience ...

Research Scientist (LLM/RL) Frontier AI | London or Paris Compensation: Up to £250k + equity package. About This is a well-funded frontier AI startup building state-of-the-art agentic systems that automate complex, multi-step tasks normally done by humans. The team combines deep research … well for agents in practice: strong instruction following, reliable tool use, and good decision-making at a given inference cost. What you'll do Research post-training methods for large multimodal language models, with a focus on RL and feedback-driven learning Design reward models and large-scale reinforcement ...

product and engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard. Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with … engineering team to take research from notebook to production - defining clean interfaces, writing model-serving code that engineers can build on, and making sure what you've validated in a research context actually holds up in a live enterprise environment. The expectation is that your work ships ...