1 to 25 of 162 Reinforcement Learning Jobs in England

making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/… Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various ...

making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/… Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

Description NLP/LLM Scientist – Applied AI ML Lead – Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. … environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep ...

making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/… Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various ...

industrial pilots - and we’re growing the team to take it even further. About The Role We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train reinforcement learning policies that … will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning. What You’ll Do Design and train reinforcement learning policies for humanoid robot control. Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo). Design reward functions, observation spaces, and curricula ...

Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom Corporate Functions At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking … Principlal Machine Learning Engineer to lead the design, fine‐tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands‐on, high‐impact role: you will work across the full model lifecycle, from reinforcement learning and upstream ...

Scientist, Robotics RL, DeepMind corporate_fare DeepMind place London, UK PhD degree in a technical field or equivalent practical experience. 2 years of experiencein reinforcement learning or other techniques for mid-/post-training of foundation models and self-improvement in robotics, and other areas such as multimodal … prototype applications and work with real robots inside and outside the lab to address real-world use cases, strong algorithmic background in scalable machine learning (e.g. reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and large-scale training ...

running in real industrial pilots — and we’re growing the team to take it even further. About the Role We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation … physical reality to build highly performant and robust manipulation policies. What You'll Do Train language‐vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. Construct challenging and diverse suites of manipulation tasks in simulation. Partner with teleoperations to collect trajectories ...

Member of Technical Staff Research Scientist Push the frontier of reinforcement learning for long-horizon work London, UK Full-time Research Context Reinforcement learning is how language models learn to reason, use tools, and work autonomously over long horizons. But RL for long-horizon agents presents … capabilities of long-horizon agents. Before GR, our team previously worked on some of the leading open-source language model efforts and early reinforcement learning work on language models. About this Role As a Research Scientist, you'll design, implement, and evaluate agentic reinforcement learning methods ...

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. ...

Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience. 4 years of experience in LLM fine-tuning/Reinforcement Learning, autonomous and human-on-loop agent development, and designing evaluation frameworks for real-world applications. Experience providing technical leadership to execute research from concept … NeurIPS, ICML, ICLR), or scientific/medical journals (e.g., Nature). About the job Our special interdisciplinary team combines the best techniques from deep learning and reinforcement learning to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made ...

large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part … controllability, and safer, more effective user experiences. Your responsibilities As a Senior Research Scientist, you'll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale, driving innovations that make it into production. Build and deploy state-of-the-art reinforcement learning ...

There is also the possibility of locating in Cambridge, depending on various factors including team member locations. Role Overview As the Senior Robotic Controls & Reinforcement Learning Simulation Engineer you will develop the "brains" that drive early simulations of robotic systems built with our breakthrough elastic synthetic muscle actuators. … will focus on designing, training, and exploring control concepts using both emerging methods for variable stiffness control and advanced reinforcement learning within the VSim physics environment. Given the highly elastic nature of our synthetic muscles, your deep understanding of compliance, stiffness control, and antagonistic/reciprocal actuation will ...

solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. We are looking for a hands‐on Machine Learning Engineer to design, develop and evaluate intelligent agent systems, turning emerging AI methods into reliable, scalable and reusable solutions for truly real world data. About … Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and develop single-agent and multi-agent systems for complex workflows. Build reasoning, planning, task decomposition, memory ...

high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.* Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.* Lead the modeling framework for complex systems, guaranteeing comprehensive … evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting.* Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.* Define and uphold engineering standards and guidelines for model development, including ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, a related field ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, a related field ...

Research Engineer - AI/Deep Learning/LLM Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement learning and generative models. This is a permanent role working 100% onsite in either London or Cambridge What you will be doing Implementing and testing research ideas in machine learning and AI Building prototypes and supporting experiments for team and company projects Collaborating with researchers ...

systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning. WHO ARE WE LOOKING FOR? The team is looking for a strong … Autonomy team. You will combine modern data approaches with safety standards while also considering cost efficient options. You will be an expert in deep learning and software engineering. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking "What ...

Scientist, Human Data, Robotics, DeepMind DeepMind London, UK PhD in Computer Science, a related field, or equivalent practical experience. 2 years of experience with reinforcement learning and imitation learning. Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred … designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Artificial intelligence ...

Senior Research Engineer - AI/Deep Learning/LLM/Python Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods … deep learning, reinforcement learning and generative models. This is a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading engineering efforts on complex research projects in machine learning and AI Optimising algorithms and ensuring the scalability and robustness ...

SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained … discovery. The role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. You will develop rigorous evaluations and training infrastructure that make ...

moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You’ll Do Design … build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather ...

Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real … will translate research and modeling insights into scalable, production‐ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python ...