1 to 25 of 136 Reinforcement Learning Jobs in England

Job 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, speech analytics, time series, reinforcement learning and recommendation systems. As an NLP/LLM Scientist - Applied AI ML Lead in the Machine Learning Centre of Excellence, you will be responsible for researching and exploring new machine learning methods, developing state-of-the-art machine learning models, and collaborating with multiple … teams to deploy solutions into production. You will also promote firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. The candidate must excel in working in a highly collaborative environment together with the business, technologists and More ❯

us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and … to autonomous driving or similar robotics or decision making domain, inclusive, but not limited to the following specific areas: Model-free and model-based reinforcement learning Offline reinforcement learning Planning with learned models, model predictive control and tree search Imitation learning, inverse reinforcement learning … of real-world driving data How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc. Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning) How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation More ❯

to sorting and pack-out-Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agent systems, and simulation at scale? We want to hear from you! At Locus … tools and ML systems to optimize the behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agent systems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate … real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize fleet behavior in dynamic environments. Implement and More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization … proactive shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph … Exploration using Reinforcement Learning Human experts can form and explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge More ❯

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 … 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 More ❯

NLP/LLM Scientist - Applied AI ML Senior Associate - 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 practiced 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 More ❯

NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence Job Description 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 practiced 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 More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Job Description 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 More ❯

him, they/them, etc). Are you ready to revolutionise the way people find meaningful connections? Bumble is looking for a Senior Machine Learning Scientist to join our People Recommendations team and play a key role building our cutting-edge recommendation system to empower millions of users across … interactions, millions of profiles and multi-modal data (text, images and user behaviour signals) to research, develop and deploy state of the art machine learning solutions that will redefine how people connect and form relationships online. If you have a strong product sense, extensive experience in a variety of … machine learning applications, and a passion for creating impactful technology to shape the future of online connections, we want to hear from you! THE RECOMMENDATIONS TEAM We are a team of passionate machine learning, software engineer and data science professionals who focus on designing and building products that More ❯

Job Description Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office. As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely … the growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with business, technologists … Additionally, your responsibilities will include researching new methods, developing models, and contributing to reusable code and components. Job Responsibilities: Research and explore new machine learning methods through independent study, attending conferences, and experimentation. Develop state-of-the-art machine learning models to solve real-world problems in Cybersecurity More ❯

Help build the world's most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you'll help advance state-of-the-art model … priorities Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics … competitive programming, and related domains are a plus. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and More ❯

experience will also be considered) - Full rights to work in the UK without limitation While not required, any additional experience with digital twins, machine learning, reinforcement learning or agentic systems within a scientific context would be beneficial. On offer is a very competitive salary and attractive benefits … hybrid or remote work. Keywords: RSE, Scientific Modelling, R&D, Python, Julia, R, C, C++, C#, Fortran, Digital Twins, Agentic Systems, Probabilistic Programming, Machine Learning, Reinforcement Learning Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact More ❯

will directly impact the future of autonomous vehicles, enhancing their adaptability, reliability, and efficiency through innovative approaches such as model-free and model-based reinforcement learning, efficient vision-language models, and more. In this role, you will be at the forefront of designing and optimizing foundation models that … optimize ultra-efficient foundation models specifically tailored for autonomous systems and embodied AI. Develop and refine techniques such as model-free and model-based reinforcement learning, and efficient vision-language models to improve the adaptability, reliability, and efficiency of autonomous systems. Collaborate with world-class researchers and engineers … autonomous technologies. Essential 7+ years of ML engineering/applied science experience in an industrial research environment Experience in GenAI, EfficientAI, LLMs, World Models, Reinforcement Learning, or Autonomous Driving Passion for working in a team on research ideas that have real-world impact Strong programming skills in Python More ❯

imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab … in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR … related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will More ❯

Social network you want to login/join with: Founding AI Engineer - Reinforcement Learning & LLMs, London Client: Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 13.04.2025 Expiry Date: 28.05.2025 Job Description: Founding AI Engineer - Reinforcement Learning & LLMs (London … ability with startup experience. Curious and loves to solve hard problems with first-principles thinking. Requirements: Experience deploying LLMs into production. Experience with deep reinforcement learning. Strong ML/data science and data engineering fundamentals. #J-18808-Ljbffr More ❯

Job Description Data Scientist (Advanced Machine Learning Applications) Algo1: London Area, United Kingdom Hybrid: Minimum 3 days per week in Central London office About the Role: We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are developing innovative solutions for retail, leveraging reinforcement learning, generative AI, and advanced machine learning. We are seeking a Data Scientist with recent, hands-on experience in developing and deploying advanced machine learning models for complex datasets to work with our team of industry-leading domain experts and engineers. Key Responsibilities: Algorithm Development & Implementation: Design … and implement scalable machine learning and deep learning algorithms for complex data analysis and predictive modeling. Solution Development: Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Performance Optimisation: Optimise machine learning models for More ❯

s in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters. Experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python … for the Large Language Model (LLM) that drives Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, Reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model … work was part of the Alexa+ launch announcement: link . BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language. Experience building machine learning models or developing algorithms for business application. Experience in state-of-the-art deep learning models architecture design and deep learning training More ❯

audio entertainment. We are revolutionizing how customers experience music, podcasts and audiobooks through personalized recommendations and novel listening features. We are innovating with Machine Learning technologies, including Large Language Models, to enhance content recommendations and create more engaging listening experiences. As a technical leader, you'll have ownership of … day in the life You will lead a team of applied scientists and engineers crafting delightful audio experiences. You'll leverage AI and machine learning to revolutionize how customers engage with audio content. Your day will involve leading large-scale, customer-facing services that directly impact the listening experience … the coming year. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent experience. Experience applying machine learning to solve complex problems for large-scale applications. Experience leading applied science and engineering teams in a software development organization. Highly proficient in both More ❯

art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely … with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. … Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred): Proven track record (2+ years) of hands More ❯

to develop data science & Gen AI modules collaborating along with broader team builder engineering & business teams. Foster a culture of collaboration, innovation, and continuous learning within the team. Act as a key liaison between team members, chapter leads, and stakeholders to ensure seamless communication and project alignment. Advanced AI … Machine Learning & Generative AI: Design and implement cutting-edge AI as well as Generative AI models for diverse business applications. Apply reinforcement learning techniques to solve complex decision-making problems. Drive adoption of machine learning and AI best practices across the organization. Apply LLM models & frameworks … Science/AI engineering roles to lead and execute advanced AI and optimization projects. You will have a deep understanding of Generative AI, machine learning, and cloud platforms, along with extensive experience in stakeholder management and strategic collaboration. Experience/Knowledge 5+ years of hands-on experience in building More ❯

KEY RESPONSIBILITIES Leadership & Team Collaboration: Lead, mentor, and guide a team of data scientists and engineers. Foster a culture of collaboration, innovation, and continuous learning within the team. Act as a key liaison between team members, chapter leads, and stakeholders to ensure seamless communication and project alignment. Advanced AI … Machine Learning & Generative AI: Design and implement cutting-edge AI as well as Generative AI models for diverse business applications. Apply reinforcement learning techniques to solve complex decision-making problems. Drive adoption of machine learning and AI best practices across the organization. Apply LLM models & frameworks … experience in data scientist roles to lead and execute advanced AI and optimization projects. You will have a deep understanding of Generative AI, machine learning, and cloud platforms, along with extensive experience in stakeholder management and strategic collaboration. Experience/Knowledge 6+ years of hands-on experience in building More ❯

empower content developers worldwide. What You'll Do You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models to support users developing games in our creator ecosystem. You will be responsible for the design, implementation … and deployment of production-ready machine learning models that can be integrated in the Unreal Engine (UE), with applications including learned bots, believable bots, QA bots, etc. In this role, you will Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms for … looking for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience. Experience creating innovative algorithms for problems using Reinforcement Learning and deploying them as production-level systems. Experience with working collaboratively with other developers, following a flexible/agile/lean approach. More ❯

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific … Engineer at Google DeepMind, we look for the following skills and experience: BSc/BEng degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent (MSc/MEng preferable). Proven experience, either in industry or a research lab, working on complex ML problems and engineering workflows. … Strong knowledge and experience of Python and/or C++. Proven knowledge of machine learning and/or statistics e.g. Neural Nets, Deep Learning, Reinforcement Learning etc. Strong knowledge of algorithm design - with a proven ability to write ML algos from scratch. In addition, the following More ❯

Founding AI Engineer - Reinforcement Learning & LLMs (London, In-person) VC-backed generative AI startup building platform to take LLM-powered tasks to 99%+ accuracy. Early-stage, engineering-led, everyone codes. Role: Build, train and optimise LLM systems capable of beating industry benchmarks. Deploy robust generative AI systems … ability with startup experience. Curious and loves to solve hard problems with first-principles thinking. Requirements: Experience deploying LLMs into production. Experience with deep reinforcement learning. Strong ML/data science and data engineering fundamentals. Excellent Python skills. More ❯

You will need to login before you can apply for a job. Associate Director, Machine Learning Developer and Data Scientist Site Name: USA - Massachusetts - Waltham, Belgium-Wavre, Italy - Siena, Philadelphia Walnut Street, UK - London Posted Date: Apr 9 2025 Uniting science, technology and talent to get ahead of disease … forest), this team is also responsible for large language model (LLM) customization and fine-tuning using complex techniques (i.e., low-rank adaptation (LoRA) and reinforcement learning (RL) with human feedback). Collaborate with AI engineers to deploy AI/ML models in both classical inference pipelines and agentic … goals: BS degree in computer science or equivalent quantitative science fields (e.g., bioinformatics, applied math, statistics, engineering) 3+ years of data science and machine learning developer experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent More ❯