10 of 10 Reinforcement Learning Jobs in the UK excluding London

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 - 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 ❯

Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code … GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning). Familiarity with lower-level development of data pipelines in e.g. C Rust. STARTING COMPENSATION In addition to your base compensation, we offer a generous Total Rewards 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 ❯

that operate in highly regulated environments, processing complex financial data and making critical business decisions. What You'll Build Advanced agentic architectures with orchestrator-managed specialized sub-agents Machine learning algorithms that increase agent autonomy and reduce human input Collaborative learning systems where agents share knowledge and improve collectively Fine-tuned models optimized for complex financial workflows Event … driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For 5+ years developing AI/ML systems beyond basic integration Deep understanding of agent 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 ❯

Innovation Team which have a broad mandate to work across the entire suite of internal products. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment.You'll be working to deliver a new suite of highly scalable products … C#) and at least one high-level scientific language (e.g., Python, Julia) andExperience with scientific computing, numerical methods, or computational modelling.Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building innovative More ❯

working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of highly scalable … one or more compiled systems languages (e.g., C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building innovative More ❯

high-performance systems using C , C++ , C# , or Fortran . Contribute to early-stage exploration of technologies such as AI/ML , digital twins , control systems , agent-based modelling , reinforcement learning , and probabilistic programming . Collaborate with scientists, engineers, and developers to identify, evolve, and scale innovative ideas. Integrate software quality best practices early in the research pipeline … collaboration. Self-motivated, organised, and comfortable working in a fast-paced, exploratory environment. Desirable Experience Background inscientific computing,numerical methods, orcomputational modelling. Familiarity with emerging technologies such as machine learning , digital twins , agentic systems , probabilistic computing , or control systems . Experience in anR&D,innovation, orapplied researchsetting. Compensation & Benefits This role offers ahighly competitive salary,performance-related bonuses, and More ❯

AI is used appropriately for their problems and collaborate with the UK, European and International research ecosystems. You will provide specific leadership for AI R&D and innovation for reinforcement learning. With our ambition to develop and expand the team, will we expect you to identify new talent and partnering opportunities with industry and academia. The role is also … to mental wellbeing app Employee discount shopping schemes on major brands and retailers Development focused targets and relocation support can be provided if required along with a variety of learning, development and career enhancement opportunities. Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales. In line with Thales' Baseline Security requirements More ❯