1 to 25 of 90 Reinforcement Learning Jobs in England

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 ❯

Postdocs and Research Fellows: Probabilistic machine learning, Centre for AI Fundamentals, Manchester, UK, DL July 27, 2025 Jul 14, 2025 I am hiring in my machine learning group in Manchester, UK, DL July 27, 2025 Funded by UKRI Turing AI World-Leading Researcher Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in developing new … machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulation-based … inference. The positions come with excellent opportunities for collaboration with machine learning researchers in the ELLIS Unit Manchester and the rest of the ELLIS network, and with researchers in other fields for AI for Research. These are fixed-term positions for a year, but there will be opportunities for excellent researchers to continue in my team in Manchester or More ❯

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to … but leave some for future years as well: - Research Fellow - Postdoc - PhD Student The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the … others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference. There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic 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 ❯

Lead Technologist - AI & Machine Learning £75000 - 85000 GBP 10% bonus Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - AI & Machine Learning AI R&D | Defence, Security & Autonomy | Reinforcement Learning, NLP, Graph ML, Remote Sensing Exceptional opportunity for an AI/ML expert to lead complex, applied research projects in one of …/ML Proven track record leading teams of 5+ developers/researchers Strong experience in engineering assurance and technical governance Expert knowledge in at least one of the following: Reinforcement learning NLP & LLM applications AI for radar, RF, EW, sonar or acoustics Remote sensing and computer vision Graph-based neural networks and knowledge graphs Autonomous systems Experience writing 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 ❯

visionary with a passion for 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-time merchant insights , AI-powered … St Paul's, Bank, Cannon 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 loops. Multi-Agent Systems: Implement … to enhance AI contextual understanding 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 with consumer insights and conversational More ❯

Lead Technologist - AI & Machine Learning £85,000 GBP + Bonus Onsite WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Job Title: Lead Technologist - AI & Machine Learning Chelmsford (Hybrid) Up tp £85k + Bonus We are seeking a highly skilled and experienced Lead Technologist to join a growing Data and Decision Support capability, working on cutting-edge … space, and commercial domains. This role offers a blend of technical leadership, research direction, and hands-on assurance responsibilities, with opportunities to shape innovation in areas such as NLP, reinforcement learning, computer vision, graph neural networks, and sensor-based AI systems. Key Responsibilities: Lead the technical delivery of complex AI/ML projects, overseeing the preparation and review … innovation bodies, or academic institutions). Deep expertise in at least one of the following, with working knowledge across multiple areas: AI/ML for imagery (including remote sensing) Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph-based neural networks AI/ML applied to RF, EW, radar, sonar, or acoustic signal processing More ❯

Lead Technologist - Artificial Intelligence & Machine Learning £85000 GBP 10% Bonus + Benefits Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (Hybrid: 2 days onsite, 3 remote) Salary: Up to £85,000 + 10% bonus Hours: Full-time, 37 hours/week As a Lead Technologist in AI … ML, you'll play a pivotal role in shaping the future of intelligent systems across a wide range of domains, from computer vision and NLP to reinforcement learning and signal processing. This is a senior leadership position for a seasoned expert who combines deep technical expertise with strategic vision and mentoring capabilities. You'll lead large-scale research … field , with over 10 years of experience in advanced research and development. Demonstrated leadership in R&D and engineering assurance across multidisciplinary teams. Deep expertise in areas such as reinforcement learning, natural language processing, large language models, computer vision, or signal processing. Exceptional communication and proposal development skills , with a track record of securing and delivering high-impact 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 ❯

/ML research and development projects Providing engineering assurance across bids, publications, and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in … a relevant AI/ML discipline 10+ years of experience in AI/ML, ideally in defence or applied research Deep knowledge of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more … of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires at least 5 years of continuous UK residency. Package: £70,000 - £85,000 base 10% bonus Pension Medical cover To hear more More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join their expanding … Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product … novel research opportunities, fostering collaborations with academic and industry partners Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join their expanding … Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product … novel research opportunities, fostering collaborations with academic and industry partners Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join their expanding … Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product … novel research opportunities, fostering collaborations with academic and industry partners Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience More ❯

Lead Technologist - ML/AI £85000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: South East UK (Hybrid - Great Baddow base) Full-Time | Up to £85,000 + Benefits | Security Clearance Required (UK EYES ONLY) Shape the Future of Applied AI in Defence, Space & Autonomy Are you ready to … capability, and intelligent autonomous systems. We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language processing, computer vision, remote sensing, and signal intelligence. You'll play a pivotal role-blending deep expertise with technical assurance, mentorship, and strategic influence. Why … PhD, with a proven track record of leadership in R&D environments Demonstrated expertise in at least one of the following: AI/ML for imagery (incl. remote sensing) Reinforcement learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits More ❯