1 to 25 of 54 Reinforcement Learning Jobs in London

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 company we are deploying our products in a number of … value of our approach from 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 … 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 graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI … systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation More ❯

be a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer to … join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning … technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep Learning More ❯

protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Recent ventures include: - Kluster.ai - Anti-hallucination platform for Machine Learning models - Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases - Tanssi - Decentralised AppChain infrastructure secured via Restaking What you'll do: Lead the end-to-end design … and development of core AI systems that enable collective learning and shared memory among autonomous agents. Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale Drive innovation in protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents. Build frameworks and tooling that allow … agents to transform episodic episodic experiences and action trajectories into reusable, network-wide intelligence. Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems. Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers. What you'll bring More ❯

t wait to hear from 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) Ad-hoc data mining for … of presenting technical concepts to 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 such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

t wait to hear from 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) Ad-hoc data mining for … of presenting technical concepts to 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 computational simulation/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 such as Python and SQL Excellent Python, including relevant libraries for data More ❯

of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and … by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate … cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote best More ❯

of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and … by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate … cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote best More ❯

define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design … define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design … quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and More ❯

Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate end-to-end AI solutions that serve … impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. Enhancing Copilot Search by developing novel content representation models. Building … Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in More ❯

impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building … Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in … Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis skills and More ❯

Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses … Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and … engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation More ❯

to customer behaviour modeling Publish research at top conferences (NeurIPS, ICML, ICLR, AAAI etc) while solving real-world problems Work with teams across Africa and Europe to deploy Machine Learning solutions that expand financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics … and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally a publication record in Machine Learning research (NeurIPS, ICML, ICLR, AAAI etc preferred) Our Mission We create financial inclusion for the traditionally excluded through a More ❯

design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND … open source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Bachelor's/Master's Degree in Computer Science or … AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment More ❯

type Full time posted on Posted Yesterday job requisition id JREQ193529 Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems 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 of research capabilities across different areas and are looking for scientists who participate in designing, coding … conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric More ❯

type Full time posted on Posted Yesterday job requisition id JREQ193526 Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems 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 of research capabilities across different areas and are looking for managers who can inspire and guide … willing to roll up their 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 & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool More ❯

we have the potential and the opportunity to change the way organisations operate. As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you'll combine hands … of successfully designing, building and deploying ML models into production environments at scale. Expertise in Python and relevant ML libraries. Strong experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud More ❯

cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building … recordof successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud More ❯

cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building … recordof successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud More ❯

Data Parallel (FSDP) and DeepSpeed, 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 Neuron SDK and developing custom … our nature to learn and 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 Growth We're continuously raising … we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS • 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 learning and machine learning More ❯

to help improve the performance of our targeting and optimization products. The Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and … role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you will do: Design and maintain statistical and machine learning models to optimize campaign performance Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign bids and budgets … Improve systems that optimize campaign performance and pacing Implement machine learning pipelines on Google Cloud Platform Write and ship production-level python code Write and execute complex SQL queries to extract and transform data from various sources Collaborate with other applied scientists, software engineers, data analysts and product managers to design and implement solutions based on business requirements Document More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you More ❯

Develop predictive models to forecast 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: Master's or PhD degree …/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). 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 of individual customers. Real-time … work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. More ❯

to hear from you. Whether you're looking for remote flexibility or prefer to work from India, this role is built for impact. ️ Key Responsibilities: Build and train machine learning models and algorithms Preprocess, clean, and analyse datasets from multiple sources Apply best practices for testing, validation, and deployment Work closely with data scientists, engineers, and product teams Deploy … for workflows and models Required Skills: Strong Python skills + ML libraries (scikit-learn, TensorFlow, PyTorch) Solid understanding of data preprocessing & feature engineering Knowledge of supervised, unsupervised, and deep learning methods Experience in model evaluation & tuning Familiarity with AWS, GCP, or Azure is a plus Strong problem-solving & communication skills Qualifications : Bachelor s or Master s in CS, Engineering … Data Science, or similar 1 5 years experience in AI/ML roles or relevant hands-on projects Nice to Have (Bonus) : NLP, Computer Vision, or Reinforcement Learning experience Knowledge of MLOps tools (MLflow, Kubeflow, etc.) Familiarity with SQL or Big Data tools (e.g., Spark) ️ Please apply only if you meet the skill and experience criteria. This role More ❯

help improve the lives of people in financial difficulty at scale.The data team sits at the heart of Ophelos and is responsible for developing: The Ophelos Decision Engine - a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions OphelosGPT - our generative AI model for empathetic, context-aware customer communication … are looking for someone with: Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries) 4+ years of experience delivering machine learning products end-to-end in production Hands-on experience with LLMs - fine-tuning, prompt engineering, vector databases, or RAG pipelines Proven experience with A/B testing, experimentation design … We're decisive and embrace a sense of urgency; we don't let opportunities get away from us. We'd rather act quickly and take informed risks, iterating and learning as we go. Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn't just individual departments - it More ❯