1 to 25 of 122 Reinforcement Learning Jobs in the UK

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, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working … in a highly collaborative 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 Learning with hands-on implementation … experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such More ❯

generate insights and drive decision-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/LLM and 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. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating … in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based … a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term … product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based … a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term … product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based … a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term … product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based … a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term … product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based … a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term … product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from More ❯

protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Recent ventures include: - Kluster.ai - Anti-hallucination platform for Machine Learning models - Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases - Tanssi - Decentralised AppChain infrastructure secured via Restaking What you'll do: Lead the end-to-end design … and development of core AI systems that enable collective learning and shared memory among autonomous agents. Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale Drive innovation in protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents. Build frameworks and tooling that allow … agents to transform episodic episodic experiences and action trajectories into reusable, network-wide intelligence. Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems. Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers. What you'll bring More ❯

or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring … LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring … LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring … LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring … LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring … LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

best investors in the business who have also backed the likes of Livongo, Hinge, Calm, MDLive, and others. What we're looking for We're looking for a Machine Learning/Data Engineer to lead the development of ML applications and data infrastructure that will accelerate our ability to gather actionable, high-impact insights from complex healthcare data. We … re looking for someone who is effective at all levels of the machine learning and data stack, with a track record of delivering applications from the ground up. You'll lead research, prototyping, and deployment of models that risk stratify patients, predict readmissions, surface timely interventions for our clinicians, and more. As one of our early data hires, you … versioning What you bring to the team: 5+ years of ML engineering experience in a professional setting with a proven track record of owning the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring 3+ years of experience with modern machine learning tools and libraries (scikit-learn, PyTorch, TensorFlow, spaCy, etc More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

ASAP | Outside IR35 To apply, email: THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of a highly skilled R&D team building next-generation AI solutions for … world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV … Experience with wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for … world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV … wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯