51 to 75 of 77 Reinforcement Learning Jobs in London

technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop large-scale machine learning systems, alignment workflows, and optimization infrastructure to advance LLM reasoning and post-training capabilities. Design and execute scaled reinforcement learning pipelines (e.g. … changing needs of Huawei Research and Development UK Limited. Person Specification Required Master's or PhD (or equivalent industry research experience) in Machine Learning, Computer Science, Data Science, or a highly quantitative field with a heavy focus on Machine Learning. Deep proficiency in PyTorch and experience writing custom training ...

iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack : You’ll work in React (JavaScript/TypeScript … against important business goals that help the entire team win Pragmatic Best Practices : An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for We’re a great bunch but we have some "Euph" cultural ...

equipment, drones, autonomous vehicles, or IoT-enabled devices. Build and optimize AI-driven perception, reasoning, planning, and control systems using computer vision, sensor fusion, reinforcement learning, digital twins, and real-time decision-making frameworks. Collaborate with robotics, engineering, and operations teams to integrate Generative AI, Agentic ...

GPUs/TPUs, high-performance networking (NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field … CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets or trading Benefits Discretionary bonus eligibility Medical, dental, and vision insurance ...

environments Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data Deep … expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

Huawei Technologies Research & Development (UK) Ltd is looking for a skilled professional to research and develop advanced machine learning systems focused on scaling reinforcement learning and optimization infrastructure. You will design and execute RL workflows to enhance machine learning capabilities while managing large-scale distributed training ...

What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 3+ years ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

Randstad Technologies Recruitment is searching for a Reinforcement Learning (RL) Engineer to join a leading robotics company in London. This permanent position involves working collaboratively to define the company's 2026 technical roadmap while solving complex challenges in autonomous systems. The role requires expertise in AI, MLOps, Software ...

Senior Engineer in Greater London to develop and manage data pipelines for AI systems. This role involves significant responsibilities, including ensuring the quality of reinforcement learning data, collaborating with various teams, and innovating operational frameworks. The ideal candidate will possess strong software engineering skills, have a background ...

plus. Have experience as a technical founder, or engineer at an early stage startup. Have familiarity with, or interest in, model training pipelines and reinforcement learning. Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. Are comfortable working directly ...

improve multimodal LLMs to achieve new functionality for our customers and optimize their deployments (cloud and edge). Some of our deep learning models are truly tiny - the memory footprint of our smallest computer vision model is just 1MB. You will train and design more accurate models, while also … LLMs. Trained neural networks that moved into production. Nice To Have Industry experience with efficient inference deployments (cloud or edge). Experience with Deep Reinforcement Learning. We only consider applicants who are currently based in, or willing to relocate to, London or Amsterdam. We have flexible working hours ...

DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for its document translation multimodal and vision models. You will develop models that reason about document layout, fuse data sources, and drive breakthroughs from prototype to deployment. The role requires hands ...

DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, model steerability, and reinforcement learning for our LLM-based translation models. You will own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs into production. You will fuse high-value human ...

DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, model steerability, and reinforcement learning for the next generation of translation models. You will fuse high-value human data with synthetic data and drive breakthroughs from research to production at scale. You will work with ...

United States Digital Space LLC is seeking a Research Engineer to design and run large-scale experiments in Reinforcement Learning. The role involves debugging complex issues, maintaining benchmarks, and working closely with research and engineering teams. Successful candidates will have strong empirical research skills and proficiency in Python. ...

DeepL is seeking a Senior Research Scientist to design, implement, and deploy cutting-edge reinforcement learning and post-training research at scale. You will drive innovations that translate to production, collaborating with engineering, ML platforms, and HPC teams. The role emphasizes building scalable RL pipelines, aligning models with ...

will work with foundation models and real robots, translating lab research into real-world systems, and contributing to diverse areas such as simulation, reinforcement learning, and vision-language-action models. #J-18808-Ljbffr ...

will design, implement and evaluate large models for robotic agents, while collaborating across teams and contributing to open research. This role emphasizes scalable ML, reinforcement learning, and real-world robot integration. You will work with state-of-the-art robotics platforms, prototype applications, and cutting-edge datasets ...

DeepL is seeking a Senior Research Scientist to lead cutting-edge reinforcement learning research and scale post-training for multi-modal models. You will drive innovations from conception to production, ensuring safety, efficiency, and robust performance across our global translations platform. You will work with a diverse, international ...

DeepL in the United Kingdom is hiring a Senior Research Scientist to design, implement, and deploy cutting-edge reinforcement learning research at scale, driving innovations that align pre-trained models with real user goals. You'll collaborate with engineering, ML platform, and HPC teams to translate findings into ...

will build coordinated intelligence so offers respect customer signals and journey stage. Additionally, you will partner with Applied Science and ML Engineering on reinforcement learning and multi-objective optimization to prove that respecting customers drives better outcomes. #J-18808-Ljbffr ...

background in Eval-driven-development. Expert-level proficiency in Python and Typescript/Javascript. Proven experience building an LLM agent harness . Experience utilizing reinforcement learning. Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications. A solid understanding of statistical principles specifically ...