1 to 25 of 54 Permanent Reinforcement Learning Jobs in London

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 ❯

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 ❯

Data Scientist who can contribute to all stages of our data science client projects. This means that as well as developing cutting-edge machine learning solutions, we are looking for someone who can also design data science solutions from scratch and present their team's work in an engaging … lead project centred client interactions Oversee the delivery of high-quality code and successful project outcomes Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python … of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement More ❯

you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python … stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced … machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools More ❯

way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python … seeking an exceptional technical leader who can drive innovation while maintaining production excellence. The following qualities are essential: Technical Excellence: Deep expertise in machine learning approaches with the ability to assess and implement cutting-edge algorithms Strategic Thinking: Ability to break down high-level optimisation goals into lower-level More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background and be … well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and semiconductors market. … What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning … planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing … CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience More ❯

Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning … planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing … CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience 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 ❯

VP Data Science, and be part of a small (but growing!) team of Data Scientists. The ideal candidate wi ll have a background in Reinforcement Learning (or related disciplines ) , with hands-on cloud technology experience . Whilst commercial experience is highly desirable, given the deployment of RL at … optimize the ACO algorithm(s) and related Data Science compone n ts for the product Design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation/testing Implement and interpret explainability frameworks to provide clear insights … degree in D ata S cience , Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L earning as an umbrella term rather than a More ❯

Tier 1 HFT Seeks Deep Learning Researcher Tier 1 HFT is seeking a Deep Learning Researcher to join our team. Our team: A group of 5 highly accomplished, academically oriented researchers and traders with expertise in statistics, reinforcement learning, machine learning, and more. Role specifics … No specific financial, trading, or HFT experience is required. Desired expertise and publications: Language Models Drug Design Physical System Modelling Uncertainty Modelling Off-Policy Reinforcement Learning Distribution Shift Detection Nonstationarity Modelling Active Learning This role requires a PhD and several years of post-PhD experience. We value More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources … engineers to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. … Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems More ❯

Insights to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. At M-KOPA, machine learning research isn't conducted in an academic vacuum-it's deployed to empower millions of people across Africa. As our Commercial Research Scientist working … You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning-it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings. Working in a fully remote … optimize our operations, and develop new products that bring digital and financial services to those traditionally excluded from the system. Imagine seeing your machine learning innovations translated into real stories of impact: a small business securing its first inventory loan, a family accessing educational content through their first smartphone More ❯

shaping the future of Generative AI ? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement learning, vector databases, and autonomous systems . As a key AI strategy leader , you'll define the next-generation consumer experiences , enabling real … Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement … and improve user experiences. End-to-End AI Automation: Build architectures to integrate AI with APIs, databases, and external applications for seamless automation. Machine Learning Pipeline Optimization: Define best practices for AI experimentation, model deployment, and cloud-scale AI processing. Gen AI for Consumer-Facing Products: Elevate chatbot capabilities More ❯

Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) Job ID: Services LLC The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Sr. Software Development Engineer(Sr. SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi … team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing. A day in the life As a Sr. SDE/MLE with the AGI team, you will be responsible for leading … quality software. About the team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape More ❯

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 Visual Foundation Models: Unlocking Human Engagement … in writing, in person, and in small groups, and are able to educate audiences at all levels on the novel applications and relevance of reinforcement learning. You can easily distinguish authentic and high integrity thinkers from 'posers', while also critically evaluating truth from fiction in your own work. Your … dampen the mood. Your intensity goes from 0 to 1000 when you become authentically interested in a topic. You not only have interests in reinforcement learning, but are deeply curious about a range of interdisciplinary topics, ranging from knowledge graphs, recommendations, web-scale search, deep learning, generative More ❯

insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences … while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent … integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into More ❯

years of experience in software development and with data structures/algorithms. 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems. 5 years of experience in distributed development and large-scale data processing. Experience coding in either C++ or Python. Experience with ML … fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in areas like natural language processing (NLP), computer vision, and generative AI. Preferred Qualifications: Experience with generative models (e.g., diffusion models, GANs, transformers) for various media formats (e.g., text, image, video, audio), including prompt engineering, fine … tuning, and evaluation techniques. Experience with RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong More ❯

software development, with a focus on data structures and algorithms Minimum of 5 years of experience building and architecting large-scale, production-quality Machine Learning (ML) systems At least 5 years of experience in distributed development and large-scale data processing Proficiency in coding with C++ or Python Solid … understanding of ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in NLP, computer vision, and generative AI Preferred Qualifications Experience with generative models such as diffusion models, GANs, and transformers for various media formats, including prompt engineering, fine-tuning, and evaluation Knowledge of … RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures Experience leading high-performing research or engineering teams and fostering an inclusive culture Published research in ML/AI conferences or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool More ❯

years of experience in software development and with data structures/algorithms. 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems. 5 years of experience in distributed development and large-scale data processing. Experience coding in either C++ or Python. Experience with ML … fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in areas like natural language processing (NLP), computer vision, and generative AI. Preferred qualifications: Experience with generative models (e.g., diffusion models, GANs, transformers) for various media formats (e.g., text, image, video, audio), including prompt engineering, fine … tuning, and evaluation techniques. Experience with RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong More ❯

Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by someone with significant 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 … Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by someone with significant 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 … a stimulating and dynamic environment designed to enable you to flourish. In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning & development opportunities, generous holiday allowances, four additional days off for professional development and many others. To learn more about the GSMA, visit our career More ❯

Company Overview Our client is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive investment strategies and generate alpha. We are seeking an exceptional AI Tech Lead to spearhead the technological innovation and AI implementation across quantitative research and trading operations. Job Description … Key Responsibilities Lead the architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial … real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions Implement robust machine learning pipelines for data preprocessing, model training, validation, and deployment Ensure the highest standards of model interpretability, explainability, and risk management Drive innovation in AI More ❯

to senior/staff level About the Position Our client is reimagining how virtual agents move, behave, and interact. By combining real-time simulation, reinforcement learning, and generative models, they’re building a new foundation for intelligent animation in digital worlds; from characters to physically grounded agents. This … and make them work Work closely with a small, tight-knit team of engineers and researchers shipping iterative prototypes Experience Required: Proven experience in reinforcement learning for control, robotics, or animation Strong coding ability in Python and comfort with performance-aware development Familiarity with simulation environments (Isaac Sim More ❯