11 of 11 Permanent Reinforcement Learning Jobs in the East of England

ground operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational … teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation regulations ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with … fields Requirements: PhD in Computer Science or related subject Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/ ...

Description Job Title: Deep Learning ResearcherLocation: London or Cambridge, UKType: PermanentOur client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligenceOptimize algorithms and ensure the scalability and robustness of research prototypes and systemsCoordinate closely with researchers to align … practices, and related fieldsRequirements: PhD in Computer Science or related subjectPublications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAIExtensive experience researching machine learning algorithms and systemsAdvanced proficiency in programming languages such as Python, C++, or similarExperience with optimization, reinforcement learning, and/or large language ...

Description A PhD level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play … role in designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. ...

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 ...

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 ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

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. ...

novel model architectures and iterate rapidly toward measurable outcomes Solid experience with automated training pipelines, training orchestration, and scalable model evaluation Practical experience applying reinforcement learning in real product or research settings Excellent Python skills and strong software engineering fundamentals for building reliable, maintainable AI systems Strong communication ...

agents for enterprise workflows, and create robust training pipelines that enable rapid experimentation and deployment at scale. We value hands-on expertise with LLMs, reinforcement learning, and agentic systems, along with strong Python and software engineering fundamentals. #J-18808-Ljbffr ...