5 of 5 Permanent Reinforcement Learning Jobs in the East of England

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice 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) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice 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) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice 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) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

data science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with … SQL and PySpark • Have a novice 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) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths More ❯

Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The … a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. … signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD Experience in software development for proof of concept in Python Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare More ❯