26 to 50 of 66 Reinforcement Learning Jobs in London

and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs and on … A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building LLM-powered … applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable skills: Experience with More ❯

generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to … goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute … open-sourcing efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming More ❯

call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years 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 More ❯

Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex … academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation … sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool More ❯

by the challenge of teaching robots how to understand and manipulate the physical world? Do you want to build real systems that use machine learning and perception to grasp and interact in unstructured and unknown environments? Do you thrive in fast-paced, multidisciplinary teams solving hard problems? If so … defence. Our robotic systems are designed to perform autonomous manipulation in the harshest and most complex environments imaginable. We're looking for a Machine Learning Robotic Manipulation Engineer to lead development of the core ML-based grasping stack for our robotic capture system. In this role, you'll research … about robotics and want to see your work in action, this is the role for you. What You'll Do Lead development of machine learning systems for real world grasping and manipulation of unknown objects in space. Design and train models for arbitrary grasp candidate prediction and real-time More ❯

options in Barcelona, Berlin, or London, designed to maximize team interaction. Remote work options are also considered. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related fields, or equivalent experience. Excellent written and verbal communication skills. Experience programming in Java, Python, C++, or … in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications in relevant fields. Key Responsibilities Solve complex optimization and machine learning problems using scalable algorithms. Design and develop prototypes addressing real-world logistics challenges. Lead analyses to support decision-making and communicate results to leadership. … optimizing Amazon's logistics through advanced mathematical algorithms and data-driven techniques. We work closely with academic experts, employ cutting-edge methods like deep learning and reinforcement learning, and prioritize correct modeling and production-ready prototypes. Our goal is to support strategic investments and solve real-world More ❯

AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language processing … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … driven models of human behavior. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in the field of machine learning, AI, computer science, applied mathematics or related technical fields. Degree must be completed prior to joining Meta. Experience in theoretical and empirical research and More ❯

ensuring scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … in the workplace and at home, there's nothing we can't achieve in the cloud. • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep More ❯

customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements … in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value … level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally More ❯

ensuring scalability and efficiency - LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) - Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and … patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) - Hands-on experience with generative AI technology PREFERRED QUALIFICATIONS - 2+ More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM … VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM … VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch More ❯

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental More ❯

experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need … knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. Build "hard" eval sets to help identify failure modes of how … infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table. Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working 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 ❯

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 ❯

a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the … shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. Minimum Qualifications Minimum 2 years Project/Program management experience in More ❯

Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the … training and analyzing the data sets for improving customer experience. These data sets generated are consumed by engineering teams like Natural Language Understanding, Machine Learning Science to develop, test and train the Alexa models with the highest quality data for improving the shopping experience. Come, partner with us to 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 ❯

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 ❯