76 to 100 of 106 Reinforcement Learning Jobs in London

Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) A good understanding of the regulatory environment, especially responsible lending (creditworthiness/affordability) Experience in using the latest data science techniques to More ❯

Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) Track record of delivering high-impact AI projects from concept to production Strong communication skills – able to translate complex insights into business More ❯

making the world a better place by improving female health. Flo is at the forefront of revolutionizing the AdTech landscape by utilizing advanced machine learning and data analytics. Our mission is to empower marketing and finance teams with predictive insights that enhance decision-making related to user acquisition (UA … campaign evaluation, budgeting, and more. We are seeking a talented Machine Learning Engineer to join our dynamic AdTech ML team. In this role, you will help us develop robust models to predict lifetime value (LTV) and other critical metrics. Your Experience Must have: 4+ years of experience in machine … learning. Strong knowledge of classical machine learning and neural networks. Proven experience deploying ML models in production systems. Strong computer science foundation. Strong Python programming skills. Experience building and managing data pipelines to operate on Big Data using distributed computing or streaming frameworks. Excellent communication skills and ability to More ❯

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team … companies in the entertainment industry to significantly increase profit margins. You’ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You’ll likely come from a strong quantitative degree background in Science or Maths and have worked More ❯

Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong Candidates May Also Have Experience With High performance, large-scale ML systems GPUs, Kubernetes … Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Security and privacy best practice expertise Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Low level systems experience, for example linux kernel tuning and … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional More ❯

AI and contribute to ongoing research. What We're Looking For: Commercial experience building AI systems, with a strong emphasis on agent-based models, reinforcement learning, and autonomous decision-making. Strong grasp of the concepts around MCP, tools, sub-agents short and long-term memory, training etc Expertise More ❯

will love and trust. Stay Cutting-Edge: Ensure Cleo remains at the forefront in ML by actively engaging with the latest trends in NLP, reinforcement learning, and generative AI, and applying them to our products. Communicate at All Levels: Translate insights for senior leadership and bridge the gap More ❯

help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off … require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. … Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family More ❯

of grant proposals and funding applications to secure external research grants and sponsorships. Expertise Ph.D. or equivalent experience in computer science, artificial intelligence, machine learning, or related field, with a focus on manipulation, robotics, or AI/ML. Strong theoretical and practical knowledge in areas such as reinforcement learning, motion planning, and perception, with a specific emphasis on manipulation tasks. Proficiency in programming languages such as Python, C++, or MATLAB, as well as experience with relevant libraries and frameworks for AI/ML development. Experience in conducting independent research and publishing in top-tier conferences and More ❯

of grant proposals and funding applications to secure external research grants and sponsorships. Expertise Ph.D. or equivalent experience in computer science, artificial intelligence, machine learning, or related field, with a focus on manipulation, robotics, or AI/ML. Strong theoretical and practical knowledge in areas such as reinforcement learning, motion planning, and perception, with a specific emphasis on manipulation tasks. Proficiency in programming languages such as Python, C++, or MATLAB, as well as experience with relevant libraries and frameworks for AI/ML development. Experience in conducting independent research and publishing in top-tier conferences and More ❯

leader, designing solutions from a theoretical standpoint through to practical execution. The Profile: Broad experience of using a range of predictive modelling and machine learning techniques to tackle business problems across commercial sectors. Ability to translate complex analytical solutions into transparent and actionable business insight. Advanced knowledge of statistics … and ML techniques (both supervised and unsupervised), knowledge of emerging technologies e.g. Reinforcement Learning is advantageous. Advanced user of Python and/or R, with cloud analytics experience. This is a fantastic opportunity for a passionate experienced data scientist with ambition to grow their career. To apply and More ❯

experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are … safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts … if it goes outside your job description. Care about the impacts of AI. Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety. Have experience with LLMs. Have experience with reinforcement learning. Have experience with Kubernetes clusters and complex shared codebases. Candidates More ❯

and video, by building and productizing generative AI-driven tools for advertisers. We are investing in latent-diffusion and DiT models, LLMs, computer vision, reinforcement learning, and image + video synthesis. The solutions we develop will be deployed for use by self-service advertisers and agencies, as well More ❯

e.g., AWS). Hands-on experience building or using Data and AI (e.g., LLM) solutions. Experience in any of Supervised Fine-Tuning (SFT), and Reinforcement learning with human feedback (RLHF), RAG, Search, and Agents. Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index. Knowledge of operationalizing More ❯

while manipulating, fall recovery, and other advanced mobility tasks. The ideal candidate will have strong expertise in classic locomotion pipeline, whole-body control and reinforcement learning. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into … for biped robots, focusing on locomotion. Proficiency with model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Knowledge of advanced topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Familiarity with real-time control systems and integration with hardware, including actuators and sensors. More ❯

while manipulating, fall recovery, and other advanced mobility tasks. The ideal candidate will have strong expertise in classic locomotion pipeline, whole-body control and reinforcement learning. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into … for biped robots, focusing on locomotion. Proficiency with model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Knowledge of advanced topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Familiarity with real-time control systems and integration with hardware, including actuators and sensors. More ❯

is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building "hard" knowledge base eval sets to help identify failure modes … if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional More ❯

biped robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Isaac Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Experience in topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Desirable Skills and Experience Familiarity with real-time control systems and integration with hardware More ❯

biped robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Isaac Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Experience in topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Desirable Skills and Experience Familiarity with real-time control systems and integration with hardware More ❯

solve hard problems with first principles thinking. Requirements: Experience deploying LLMs into production. Strong ML/data science and data engineering fundamentals. Experience with reinforcement learning methods. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development and Data Infrastructure and More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence. You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support. Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations. Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference. Experience in cross More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence. You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support. Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations. Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference. Experience in cross More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference Experience in cross More ❯

experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are … safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write … if it goes outside your job description. Care about the impacts of AI. Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety. Have experience with LLMs. Have experience with reinforcement learning. Have experience with Kubernetes clusters and complex shared codebases. Candidates More ❯

proposals to secure external sponsorships. What We’re Looking For: Ph.D. (or equivalent experience) in AI, ML, robotics, or related fields. Expertise in manipulation, reinforcement learning, motion planning, and perception. A track record of conducting research and publishing in top-tier AI/ML conferences and journals. Proficiency More ❯