1 to 25 of 35 Remote Reinforcement Learning Jobs in the UK

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 ❯

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 ❯

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 ❯

COE will focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a … and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al … ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into Al-powered solutions, including machine learning models, data pipelines, and Al- driven processes. Platform Selection and Integration: Evaluate and select appropriate Al tools, platforms, and technologies to meet business goals. Oversee integration with existing systems 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 ❯

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 ❯

/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 - 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 ❯

of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that … Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce … efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have More ❯

rapidly growing Data and Decision Support capability within a forward-thinking and innovative organisation. This team delivers cutting-edge solutions across a range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language … or funding proposals (e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy More ❯

Bonus, Extensive Benefits Package Location: Chelmsford Are you an AI Lead Technologist looking for your next challenge? This is your chance to join a cutting-edge AI and Machine Learning capability that's actively shaping the future of data and decision intelligence. Working as part of a highly collaborative and cross-functional team, you'll engage in advanced research … across areas focusing on reinforcement learning and NLP/LLMs, - helping deliver real-world solutions for some of the most complex challenges out there. As an AI Lead Technologist, you'll be encouraged to take the lead on innovative projects that combine academic rigour with impactful application. You'll thrive here if you're passionate about using AI … field with around 10+ years of experience in AI/ML (ideally in the defence or security domain). Deep knowledge in one or more areas such as NLP, reinforcement learning, with broad awareness of other AI disciplines. Strong mathematical, statistical, and computational background underpinning AI/ML work. Demonstrated ability to provide engineering assurance and review of More ❯

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 … 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 Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype 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 ❯

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 ❯

tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred … Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML … systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to More ❯

Senior Research Scientist £60,000 - £70,000 GBP Hybrid WORKING Location: England , Chelmsford, East of England - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location: South East UK (Hybrid: typically 2 days onsite in Great Baddow) Clearance: SC clearable (UK EYES ONLY) - DV/UKIC eligibility highly desirable Work Pattern: Full-time (37 hours/week … where your research leads to operational outcomes? We're hiring a Senior Research Scientist to join a leading R&D team working at the intersection of artificial intelligence, machine learning, autonomy, and signal processing. This role sits within a growing capability focused on time-series data, decision support systems, and autonomous platforms-and offers an ideal mix of technical … real-world application. About the Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known More ❯

Research Scientist £70000 GBP Hybrid WORKING Location: Guildford, South East - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location: South East UK (Hybrid: typically 2 days onsite in Great Baddow) Clearance: SC clearable (UK EYES ONLY) - DV/UKIC eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage … where your research leads to operational outcomes? We're hiring a Senior Research Scientist to join a leading R&D team working at the intersection of artificial intelligence, machine learning, autonomy, and signal processing. This role sits within a growing capability focused on time-series data, decision support systems, and autonomous platforms-and offers an ideal mix of technical … real-world application. About the Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known More ❯

at the intersection of AI, autonomy, cyber, and complex systems. About the Opportunity You'll head up a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands … technical delivery across projects Present findings to both technical and non-technical audiences Engage with external collaborators, including academia and innovation partners About You PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience Strong experience leading small R&D teams (ideally 5+ people) Demonstrated success in writing More ❯

new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner with product … and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering collaboration across … production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview More ❯

Lead Technologist - AI & ML ££85,000 GBP 10% bonus Hybrid WORKING Location: Chelmsford, Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (2 days a week) Salary : Up to £85,000 + 10% We're looking for a Lead Technologist with deep expertise in AI/ML to drive technical excellence across … projects in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and developers Shape and direct novel research in More ❯

experienced Senior Research Scientist to head its Knowledge and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team … in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute … provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ More ❯