76 to 100 of 228 Reinforcement Learning Jobs in England

optimization of all the modules used in trading – leading to a simplified, highly effective trading system. Responsibilities Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more. Implement AI solutions throughout the firm via collaboration with portfolio management, risk and other … data and hardware systems. Develop the foundational software used for AI at WorldQuant. Qualifications At least 2 years of experience training AI, ML, reinforcement learning and related models in the technology, academia or quantitative trading domains. Hands‐on experience building, testing and maintaining complex software systems. Willingness ...

/Computer Vision Engineer, you will be an experienced researcher or developer with a strong interest in state-of-the-art AI, Machine Learning, and Computer Vision technologies. The Senior AI/ML/Computer Vision Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically … actively providing technical expertise across a broad range of AI/ML and Computer Vision disciplines, including 2D/3D computer vision, Reinforcement Learning, LLMs and NLP. The Key Requirements: Proven experience in AI/ML/Computer Vision R&D (e.g. detection, classification, segmentation, forward/backward ...

committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the roleAnthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind … only appear at scalePartner closely with adjacent RL teams across research and engineering and advance our overall RL stackMinimum qualificationsStrong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent areaDemonstrated ability to own large experiments end-to-end, from design through interpretationProficiency ...

down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high‐quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data … Effective use of AI tools in your own day‐to‐day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively ...

thinking, environments may be idle burning resources they don't need. So making agentic rollouts efficient and reliable is a key requirement for agentic reinforcement learning At General Reasoning, rollout infrastructure is a first-class problem. We need someone to own the full session lifecycle at massive concurrency … management, and process isolation Comfortable building systems in Go and Python Willingness to work in-person in London, UK Nice to Have Experience with reinforcement learning Experience managing LLM inference backends Experience with lightweight sandboxing (Firecracker microVMs, gVisor, V8 isolates, Wasm runtimes) and their startup/memory trade ...

team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team of technical … clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL ...

looking for an RL Environment Data Engineer/Researcher to design, build, and refine reinforcement learning training environments across different domains. This role will focus on data collection, task definition, reward design, evaluation criteria, anti-reward-hacking mechanisms, and post-training validation of environment data effectiveness. Responsibilities - Design … independently build data pipelines, environments, and evaluation tools. - Proficiency with AI coding tools for code generation, debugging, refactoring, and rapid experimentation. - Solid understanding of reinforcement learning, post-training, reward function design, environment design, and data evaluation. - Ability to translate real-world tasks into trainable and measurable RL environments. ...

role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning‐focused role, so we are looking for experience creating realistic physics‐based environments and training RL policies, while experience in robotics … policies transfer reliably to hardware. Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates. Improve our simulation‐based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling. What We're Looking For 3+ years building simulation environments or game‐engine‐based interactive ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

higher engagement among at-risk segments. Build conviction through results. Work backward from customers to technology. Partner with Applied Science and ML Engineering on reinforcement learning, multi-objective optimization, and unified customer representations — always in service of a specific customer outcome. Drive organizational alignment. Get multiple teams … product strategy for ML/AI-powered consumer products.Preferred qualification - Experience with subscription or commerce business models and LTV-based decision making.- Familiarity with reinforcement learning, multi-armed bandits, or multi-objective optimization applied to product personalization.- Track record of shipping products that changed customer behavior at scale ...

Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics Bonus: Experience shipping humanoid robots or whole-body control ...

venues (NeurIPS, ICML, ICLR, CVPR, and similar). Deep technical expertise in at least one of generative video models, world models, multimodal learning, reinforcement learning, or robotics. A track record of leading and growing research teams, including mentoring researchers at all levels, not just senior hires. Demonstrated ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using **LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning** to deliver real-world business impact.**If you're passionate about shaping the future … create measurable business value at scale.This role combines **technical leadership, people leadership, and strategic execution**. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate has a consistent track record ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact.If you're passionate about shaping the future … that create measurable business value at scale.This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate has a consistent track record ...

with subject matter experts in biology and chemistry domains to validate the output.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models … scale projectsMentoring junior data scientists and fostering a knowledge-sharing culture within the team.Staying up-to-date with the latest advancements in AI, machine learning, and NLP technologies.RequirementsMaster’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.5+ years of relevant applied experience in data ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct ...

Title: Machine Learning Engineer Location: London Salary: Up to £70,000 DOE This is a unique opportunity for a Machine Learning Engineer to join a well-funded early-stage company building frontier AI systems focused on optimising complex operational environments. Working at the intersection of scientific machine learning … hands-on engineering role where you will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment. The Role You will design, build, and deploy advanced machine learning models capable of solving complex ...

empowers our employees to thrive, continuously learn, and contribute meaningfully to our mission of advancing system design and calibration with our data-efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently … machine learning. Secondmind Labs consists of researchers that explore innovative ideas that can improve the state of the art in Probabilistic modelling, active learning and related fields, and tackle real-world challenging problems. We work in highly collaborative research teams, developing algorithms that are theoretically rigorous, yet scalable ...

curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research … 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). We are building a strong foundation of research capabilities across different areas and are looking for scientists ...

curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research … sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test ...

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 a Vice President/Research Lead in AI Research … alignment, guardrails, red teaming, adversarial attacks and defenses, robustness to distribution shifts (b) Foundation model training for structured data modalities (e.g. tabular, graph) (c) Reinforcement Learning, continual learning (parametric/model-based), model post-training and test-time adaptation. Preferred qualifications, capabilities, and skills Practical experience with ...

design and delivery of data and AI solutions that address their needs.Take ownership of the development and implementation of AI and machine learning models, data pipelines, and analytics solutions, ensuring they are robust, scalable, and aligned with best practices.Support the deployment and operationalisation of AI systems, focusing on performance … analysts, to ensure successful project delivery and integration of AI solutions.Contribute to the mentoring and development of junior team members, promoting a culture of learning, innovation, and delivery excellence.Connect to your skills and professional experience We are looking for candidates who are able to demonstrate skills and experience ...

design and delivery of data and AI solutions that address their needs.Take ownership of the development and implementation of AI and machine learning models, data pipelines, and analytics solutions, ensuring they are robust, scalable, and aligned with best practices.Support the deployment and operationalisation of AI systems, focusing on performance … analysts, to ensure successful project delivery and integration of AI solutions.Contribute to the mentoring and development of junior team members, promoting a culture of learning, innovation, and delivery excellence.Connect to your skills and professional experience We are looking for candidates who are able to demonstrate skills and experience ...

design and delivery of data and AI solutions that address their needs.Take ownership of the development and implementation of AI and machine learning models, data pipelines, and analytics solutions, ensuring they are robust, scalable, and aligned with best practices.Support the deployment and operationalisation of AI systems, focusing on performance … analysts, to ensure successful project delivery and integration of AI solutions.Contribute to the mentoring and development of junior team members, promoting a culture of learning, innovation, and delivery excellence.Connect to your skills and professional experience We are looking for candidates who are able to demonstrate skills and experience ...