26 to 45 of 45 Reinforcement Learning Jobs in London

Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities. Foundational Research Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development … with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute ...

evaluation of retrieval quality. Familiarity with advanced patterns such as GraphRAG and agentic RAG to reduce hallucination and improve factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud … platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion planning, control systems Data ethics: bias in machine learning, fairness in algorithms Foundation models & LLMs: GPT, Claude, Gemini, Llama, Mistral ...

Transportation Job ID: 10379007 | Amazon UK Services Ltd. Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing … causal inference and artificial intelligence techniques, to improve marketplace services and execution for our customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real‐time load planning and capacity utilization. The scale ...

aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower‐level programming … performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

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 ...

Google Inc. is seeking a Research Scientist for its DeepMind team in London to tackle large-scale research issues in reinforcement learning. Candidates must possess a PhD in Machine Learning and at least 2 years of relevant experience. This role will involve proposing novel research directions, implementing algorithms ...

Huawei Technologies Research & Development (UK) Ltd is seeking a skilled Machine Learning Scientist for its London Research Centre. The role centers on advancing AI technologies, particularly in reinforcement learning and Bayesian optimisation. Successful candidates will have a PhD in Computer Science and a strong publication record ...

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 ...

Mapping) Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership ...

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 ...

clients’ core needs. Work closely with engineering to build, test, and refine products. Ensure AI customer service agents are adaptive and intelligent, leveraging LLMs, reinforcement learning, RAG techniques, and expert feedback. Monitor and measure performance, using data‐driven insights to refine AI responses, minimize hallucinations, reduce handling times ...

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 ...

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. ...

Huawei Research and Development UK Limited in London seeks researchers to advance agent systems and reinforcement learning, focusing on memory architectures, evolution of agents, and collaborative RL pipelines. You will join a team exploring generalizable AI technologies and scalable agent frameworks. The role requires deep knowledge of agents ...

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 ...

Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using … Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World‐Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. ...

cognition and actively spend time trying to understand how they think. Experience RL‐training LLMs: You have hands‐on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative ...