14 of 14 Permanent Reinforcement Learning Jobs in the UK excluding London

range of challenging projects. Why join us? This role offers the opportunity to work with cutting-edge technologies including large language models, deep learning and reinforcement learning, helping to transform innovative ideas into practical solutions that deliver real-world impact. You will investigate emerging threats and opportunities … allowances depending on the skills and experience of the applicant. Job description What you'll do; Design, develop and evaluate innovative AI and machine learning solutions to address complex cyber challenges. Apply advanced Python software development skills to develop and assess AI techniques including deep learning, reinforcement ...

prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where … Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including ...

high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive … evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including ...

high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive … evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

Requirements The Role: We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into … actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data ...

solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We're seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development … fine tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end. Data InfrastructureCollaborate with Data Scientist to build ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research engineers … locations, but we'd prefer you to be based in or around London. The ideal candidate: An adaptable, experienced data scientist or machine learning expert that wants to tackle complex challenges and push the state of the art for automation in the energy sector. Of course, we're also ...

Systems could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You should have existing skills in Machine ...

help shape new opportunities and bids, but you won't be a salesperson. It suits an engineer who has deep roots in traditional machine learning and MLOps, combined with hands-on GenAI and agentic AI experience. Key Responsibilities Lead the design, deployment and serving of AI solutions in production … Need Essential: Proven experience deploying and serving ML models in production at significant scale Several years of traditional ML experience (classic ML, computer vision, reinforcement learning or MLOps), including work that predates GenAI Hands-on GenAI experience: prompt engineering, RAG, agentic AI and model evaluation using metrics such ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc).\n \nSpecifically, the role entails:\n \n Leading and developing a team … prefer you to be based in or around London.\n The ideal candidate: \n An adaptable, experienced data scientist or machine learning expert that wants to tackle complex challenges and push the state of the art for automation in the energy sector. \n \nOf course, we're also adaptable ...

recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image … interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

Open Until Filled The University of Bath invites applications for a full Professor in Artificial Intelligence. You will be part of the AI & Machine Learning group within the Department of Computer Science. Were particularly looking for candidates with research strength in a core area of AI, such as generative … models, natural language processing, reinforcement learning, AI verification and AI security and assurance. The AI & Machine Learning group is a key strength of the department, highly regarded internationally and successful in research publication and grant capture. Our research and our strong industry connections give the group clear ...