51 to 75 of 192 Reinforcement Learning Jobs in London

information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python programming skills with experience writing production quality code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning ...

with real-world data in an academic environment.Who are we looking for The ideal candidate will have:Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record … success in online data science competitions, such as KaggleExperience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inferenceExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data ...

innovations that Optimizely should invest in.Job ResponsibilitiesProduct and Feature DevelopmentCollaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. Analyze product … Leverage AI agents to deploy new statistical capabilities. Research and InnovationPartner with academic and industry researchers to explore cutting-edge statistical methods and machine learning innovations. Identify emerging trends in experimentation and statistics that could enhance Optimizely’s offerings. Propose and prototype advanced statistical techniques to solve challenging business ...

should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. Analyze product … agents to deploy new statistical capabilities. Research and Innovation Partner with academic and industry researchers to explore cutting-edge statistical methods and machine learning innovations. Identify emerging trends in experimentation and statistics that could enhance Optimizely’s offerings. Propose and prototype advanced statistical techniques to solve challenging business problems ...

seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across TikTok Live platform. The ideal candidate will … delivering actionable analytical insights.- Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team ...

seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across TikTok Live platform. The ideal candidate will … delivering actionable analytical insights. Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team ...

building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean4 and reinforcement learning to verify its reasoning and results. About Harmonic At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While … most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean4 and reinforcement learning to verify its reasoning and results. Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that ...

Title: Reinforcement Learning (RL) Engineer, Manipulation Company: Randstad Technologies Recruitment Location: City of London, London Salary: £80,000 – £120,000/annum We are currently supporting an exciting, top‐notch high‐tech robotics company in London as they assemble an elite team to define their 2026 technical roadmap. … opportunity for world‐class talent to solve the most complex challenges in high‐DOF autonomous systems and embodied AI. Expertise areas AI/Machine Learning MLOps Software Engineering Data Science The environment The mission is driven by high‐bandwidth, in‐person collaboration. This is a 5‐day‐a‐week ...

experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless … safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi‐agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM‐generated jailbreaks. Write scripts ...

previous internship, work experience, coding competitions, or publications and experience troubleshooting and debugging technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe ...

microstructure modeling. Experience across FICC markets or multiple asset classes; outstanding equities specialists interested in transitioning to FICC are encouraged. Familiarity with machine learning, deep learning, or reinforcement learning applied to limit-order-book modeling, execution, or control problems. Research publications, open-source contributions, or substantial ...

alerting rules in distributed or containerized ecosystems. Preferred Technical Exposure Experience building infrastructure for simulation software, virtual testbeds, or automated control systems. Experience with Reinforcement Learning tools such as Ray RLlib Familiarity with high-efficiency runtime environments or specialized hardware acceleration toolchains. Background in remote system provisioning, telemetry ...

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 ...

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 ...

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 ...