76 to 100 of 163 Research Engineer Jobs in London

Jobs in Structural Biology and Related Fields Research Software Engineer Job - MDAnalysis software maintainer Kings College London, London, United Kingdom MDAnalysis is seeking a Research Software Engineer (RSE) to provide dedicated maintenance and development capacity for the MDAnalysis library. This post is funded part-time … Software Sustainability Institute Research Software Maintenance Fund (RSMF) grant. The role offers a unique opportunity to have a direct impact on open-source software used by thousands of researchers worldwide across drug discovery, materials science and biophysics. Job Description The RSE will work across the MDAnalysis codebase on release ...

world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning … together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities ...

teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship … frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales. You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD. Location: Paris/Warsaw ...

exploit-generation and validation pipeline behind Cyrion’s autonomous agent swarm. You will sit at the center of Cyrion’s offensive capability — the research that decides what our agents are able to find, chain, and prove. This is a hands-on exploit-development role embedded in a product team … isolated research function. What you'll do Design and implement new exploit-generation modules across web, API, and cloud attack surfaces. Build and maintain the sandboxed validation pipeline that confirms every candidate finding before it ships. Reverse-engineer novel vulnerability classes and translate them into repeatable, automatable test ...

Mistral AI is hiring a Research Engineer to design and harden the software stack that underpins frontier-scale AI models. You’ll build, maintain and optimize shared dev-tools, data pipelines, and training frameworks for an expert research team. Based in Europe with a London ...

evaluation frameworks, benchmarks, or automated testing pipelines for ML models. Responsibilities: Be able to rapidly prototype and deliver scalable engineering solutions across the Responsibility research portfolio. Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation behaviors in frontier language models. Develop post-training strategies … mitigate manipulation risks including deceptive persuasion, sycophancy, and covert influence tactics. Collaborate with research scientists to translate safety research into robust implementations and present results to cross-functional stakeholders. Build and maintain evaluation infrastructure to systematically track model safety performance across releases. ...

evaluation frameworks, benchmarks, or automated testing pipelines for ML models. Responsibilities: Be able to rapidly prototype and deliver scalable engineering solutions across the Responsibility research portfolio. Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation behaviors in frontier language models. Develop post-training strategies … mitigate manipulation risks including deceptive persuasion, sycophancy, and covert influence tactics. Collaborate with research scientists to translate safety research into robust implementations and present results to cross-functional stakeholders. Build and maintain evaluation infrastructure to systematically track model safety performance across releases. TPBN1_UKTJ ...

Security Institute in London seeks Research Scientists and Research Engineers to join the Control Red Team. You will design and run ML experiments on frontier models, build adversarial attacks, and evaluate security monitors. The role offers frontier access, significant compute, and collaboration with leading experts in AI safety … policy. We value candidates who can lead research projects, publish results, and work across research and engineering to reduce real-world AI risk. #J-18808-Ljbffr ...

Callosum Technologies Ltd. in London is hiring a research-focused engineer to develop agentic AI systems across heterogeneous models and hardware, turning theory into scalable infrastructure. You will design experiments, analyze memory and task decomposition, and build observability tools that the whole company uses. Strong communication and rigorous ...

Security Institute (AISI) in London seeks research scientists and engineers to advance safety research for frontier AI systems. You will design and execute experiments, publish impactful findings, and collaborate with leading researchers from academia and industry. The role spans hands-on LLM research and building robust research ...

solve the most complex problems in trading alongside many of the brightest minds in the field. We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus … this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies. Research Engineers at HRT work on a wide variety of projects. Examples include: Designing highly customized quantitative systems that enable Algo Developers to easily express ...

improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals … join our ranks and shape the future of superintelligent AI. Key Responsibilities: Develop and train advanced LLMs and VLMs, including multimodal architectures Research and implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training ...

Senior Research HPC Engineer MRC Laboratory of Medical Sciences MRC Band 3-S1: £57,623 - £61,622 plus London Allowance £5,560 per annum Higher salary of £61,622 - £67,693 plus London Allowance of £5,560 per annum will be available for candidates with significant relevant experience ...

Google DeepMind is seeking a research-focused Software Engineer embedded across the company to design, prototype, and deploy AI-driven systems at scale. You will work on large-scale experiments and collaborate with universities and institutes globally to accelerate AI innovation. Responsibilities include prototyping, dataset curation, model training ...

Google DeepMind is seeking a research-focused Software Engineer to help deploy high-impact AI ideas at scale. You will prototype, curate data, train models, and optimize performance across generative media tasks, collaborating closely with researchers and engineers. You will work on cutting-edge multimodal understanding, contributing ...

SOTA model topology that independently measures interactions. Our architecture is federated and non-retentive . We are looking for a Lead Machine Learning Engineer who owns the engineering bridge experimentation between deep model research and the production ecosystem we ship. You would run the seam directly: translating research findings into engineering work, regressions into research questions, and production observations back into experimental probes accompanied with our different units. This is a senior engineering seat with potential mentorship. You work directly with the Chief Data & Analytics Office and the Global Delivery team, with technical autonomy ...

delta one space. We trade 24/7 globally with our team located primarily in Chicago and London. We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading … work directly with quantitative researchers on a daily basis. Responsibilities Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research Accelerate the research lifecycle from data engineering to feature generation and analysis Integrate with diverse data sources such as blockchains, exchanges, and data vendors ...

Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. … hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Artificial intelligence will be one of humanitys ...

Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. … hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Artificial intelligence will be one of humanity ...

full stack from engine layer (vLLM, SGLang) through to serving architecture (disaggregated inference, intelligent routing). The team operates at the intersection of research and production - translating cutting-edge techniques directly into the systems behind live agent products. What you'll do Build and operate the inference stack serving … multimodal agentic models in production Improve latency, throughput, and cost across the serving stack Research and implement inference techniques tailored to agent workloads Co-design with the models team on training-time decisions that affect inference behaviour Evaluate inference frameworks and hardware platforms and feed findings back into roadmap ...

General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. ASAT has sub-teams … amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers. Artificial intelligence will be one of humanitys most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional ...

related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Minimum qualifications Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development … engineering, or ML research. Experience working with research teams. Preferred qualifications Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems. Experience with training large models (e.g., supervised finetuning, RLHF). About The Job The Artificial General Intelligence (AGI) Safety ...

General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. ASAT has sub-teams … amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with ...

River Trading (HRT) is a quantitative trading firm that builds and deploys cutting-edge systems across its global operations. We are seeking highly motivated Research Engineers to work closely with Algo Developer teams, solving complex problems in fast-paced, research-driven environments. You will design, develop, and maintain … scalable software for live trading, backtesting, and research tooling, with a strong emphasis on performance, reliability, and collaboration across trading desks #J-18808-Ljbffr ...

Experience with training large-scale models. Cross-functional collaboration experience. Knowledge of machine learning, statistics, and diffusion model theories. About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas … come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software ...