1 to 25 of 77 Reinforcement Learning Jobs in London

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/… 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. You will collaborate with various ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

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, large language models, and recommendation systems. … 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 ...

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/… 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. You will collaborate with various ...

Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom Corporate Functions At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking … Principlal Machine Learning Engineer to lead the design, fine‐tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands‐on, high‐impact role: you will work across the full model lifecycle, from reinforcement learning and upstream ...

/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, large language models, and recommendation systems. The candidate … 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 ...

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. ...

backbone of upcoming releases. You will help bridge research and engineering by designing scalable experiments and building reliable infrastructure for tool use and reinforcement learning. You will value various experience and backgrounds to create extraordinary impact.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.ResponsibilitiesLead the full research process, from forming hypotheses to delivering ...

large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part … controllability, and safer, more effective user experiences. Your responsibilities As a Senior Research Scientist, you'll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale, driving innovations that make it into production. Build and deploy state-of-the-art reinforcement learning ...

large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part … controllability, and safer, more effective user experiences. Your responsibilities As a Senior Research Scientist, you’ll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale, driving innovations that make it into production. You will: Build and deploy state-of-the-art reinforcement ...

Founding ML Engineer focused on Agentic Systems, you will contribute to building the foundational technologies for enterprise superintelligence: you help architect memory, reasoning, and learning capabilities of our autonomous agents. You will tackle hard problems in long-horizon planning, knowledge representation, and agentic learning, combining state … research with world-class engineering to build a new computing paradigm. If you are a world expert in search, retrieval, or reinforcement learning who is driven to define the future of agentic AI, this is your ideal role. What You’ll Do You will define the capabilities ...

fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the London Office of UKRD is seeking a highly skilled Machine Learning Scientist/Engineer to join our team. … Black Box Optimisation Challenge - Winners, multiple Best Paper Awards, and industry recognition. This role focuses on advancing the state-of-the-art in reinforcement learning (RL), Bayesian optimisation (BO), AI agents, large language models (LLMs), and vision-language models (VLMs). Whether your strength lies in fundamental algorithmic ...

moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You’ll Do Design … build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather ...

Software Engineer (SWE). 2 years of experience building in Python. 2 years of experience with LLM agents, LLM inference/serving, reinforcement learning for LLMs, or multi-agent orchestration. Experience building 0-to-1 systems, pipelines, and scalable infrastructure. Preferred qualifications: Experience engineering search and retrieval pipelines … hypotheses into robust, high‐performance experiments. Your work will focus on scaling LLM agent architectures, optimizing inference and serving for complex reasoning workflows, engineering reinforcement learning pipelines, and building contamination‐immune evaluation platforms. Your technical contributions will enable the team to make rapid, empirically driven progress toward autonomous ...

deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person … drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher ...

this exciting journey and drive your career forward. Job Summary Huawei is seeking exceptional candidates to pursue research in various aspects of robot learning (imitation/reinforcement learning), dynamics, and/or control for real robot systems (eg. Fixed-base arm and legged robots). The successful … robotics. This is an exceptional opportunity for research while collaborating with a diverse team with backgrounds ranging from robotics, control/planning theory, reinforcement/imitation learning to mathematics, probability and game theory. These positions involve theoretical advances and aim to apply innovations in the real world. ...

deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person … scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role ...

code and have a good understanding of data structures and algorithms. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression … decision trees, SVM, etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer ...

Qualifications PhD degree in a technical field or equivalent practical experience. 2 years of experience with reinforcement and imitation learning, multimodal generative modeling, training and inference, and vision/vision-language/video multimodal models. Preferred Qualifications Experience working with simulators and real-world robots, especially dexterous manipulation … human data with or without capture devices into our robotics foundation models. Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. About ...

permanent opportunity based in London or Cambourne, UK. Key responsibilities for this Research Engineer position: Implement and test research ideas across machine learning and AI. Build prototypes and support experiments for team and company projects. Collaborate with researchers to translate theoretical models into practical systems. Maintain and improve research … infrastructure, tools, and workflows. Prepare technical documentation and reports. Key requirements: Experience implementing machine learning algorithms and techniques. Proficiency in Python, C++, or similar programming languages. Strong problem-solving skills with the ability to work independently and collaboratively. Clear written and verbal communication skills. Familiarity with deep learning ...

Research Engineer to join a collaborative team where cutting-edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems. … implementation while working alongside leading AI experts, this is an opportunity to make a genuine impact. Key Responsibilities Implement and evaluate novel machine learning algorithms and AI research concepts. Develop prototypes and proof-of-concept systems to support research initiatives. Collaborate with researchers to translate theoretical ideas into practical ...

competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position offers … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy advanced ...

strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail‐oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship … will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time ...

## Research Engineer in Reinforcement LearningLondon 70K GBP - 90K GBPApply NowShare on FacebookShare on X (Twitter)Share on LinkedInShare on EmailShare on RedditShare on PocketInstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin … this role.* Attendance in the office for 3 days a week mandatory, we do not offer remote roles.**Nice to have:*** Professional experience in Reinforcement Learning and/or dealing with combinatorial optimization problems* Hands-on experience in high-performance computing environments (Kubernetes, Ray etc.)* Domain expertise ...

implementation of our Evidence-Based Intervention Library. Develop AI features tailored for product retention and engagement. Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care. Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s. Provide … approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour. Experience in Eval-driven-development. Experience using Machine Learning in a production environment or via high-impact scientific publications (e.g., predictive modelling, reinforcement learning). Experience modelling text/language data ...