26 to 50 of 107 Reinforcement Learning Jobs in the UK

competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position offers … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy advanced ...

strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail‐oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship … will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time ...

## Research Engineer in Reinforcement LearningLondon 70K GBP - 90K GBPApply NowShare on FacebookShare on X (Twitter)Share on LinkedInShare on EmailShare on RedditShare on PocketInstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin … this role.* Attendance in the office for 3 days a week mandatory, we do not offer remote roles.**Nice to have:*** Professional experience in Reinforcement Learning and/or dealing with combinatorial optimization problems* Hands-on experience in high-performance computing environments (Kubernetes, Ray etc.)* Domain expertise ...

implementation of our Evidence-Based Intervention Library. Develop AI features tailored for product retention and engagement. Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care. Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s. Provide … approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour. Experience in Eval-driven-development. Experience using Machine Learning in a production environment or via high-impact scientific publications (e.g., predictive modelling, reinforcement learning). Experience modelling text/language data ...

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 ...

Google DeepMind is seeking a Research Scientist to advance reinforcement learning through large-scale experiments, novel algorithms, and rigorous evaluations. You will design, run, and analyze end-to-end experiments, publish findings, and contribute to a world-class research program across machine learning, NLP, and systems, while ...

Director, AI & Data Science About the Team The team is led by someone with more than 25 years AI experience in bio‐inspired architectures, reinforcement learning, expert systems, scheduling, meta‐heuristics, robotics and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with … user development of LLMs; telecommunications related expertise would be a bonus but is not mandatory. Any knowledge of AI techniques related to NLP, Reinforcement Learning, or Agent‐based‐modelling are desirable, but are not essential. Candidates that have followed a non‐conventional career paths are encouraged to apply ...

join a rapidly expanding Data and Decision Support Capability team. This role focuses on cutting-edge research and development across various AI domains, including reinforcement learning, NLP/LLMs, knowledge graphs, computer vision, and advanced sensor processing (radar, sonar, acoustics, and RF). Typical Responsibilities Technical Leadership: Lead … Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML applied to RF, Electronic ...

previous intership, 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 ...

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 ...

InstaDeep Ltd is looking for a Research Engineer specializing in Reinforcement Learning to work in London. The role involves translating industrial knowledge into optimization problems, collaborating with clients, and engaging in high-performance software development. Candidates should have proven experience in AI and software development using Python. This ...

policy experts, and business leaders working together to build beneficial AI systems. About the role The company'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 … scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation ...

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 … 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 ...

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 ...

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 ...

public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgement with advanced machine learning … novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors. Lead the development of cutting-edge deep learning models and generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis ...

practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research. Current areas of focus include LLMs, Reinforcement Learning, Generative Models and optimisation techniques for deep learning. The Role As a senior member … contribute to a collaborative environment built around technical excellence, scientific curiosity and practical impact. Key Responsibilities Lead the engineering delivery of complex machine learning and AI research projects. Translate research objectives into robust, scalable technical solutions. Implement and optimise advanced machine learning algorithms. Work closely with researchers ...

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 ...

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget … platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We’re hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you’ll be doing Unlike many companies ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with … fields Requirements: PhD in Computer Science or related subject Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/ ...

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 ...

Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. … feature extraction, data ingestion, and real‐time inference using cloud‐based or edge‐based architectures. Evaluate and experiment with modern AI methods (e.g., deep learning, time‐series forecasting, reinforcement learning for Wi‐Fi optimization, LLM‐based agents for support flows). Work with broadband gateway telemetry ...