3 of 3 Reinforcement Learning Jobs in the South West

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment. Duties and Responsibilities Develop … AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing. Deployment & Maintenance: Work on deploying AI … Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version More ❯

or the Daresbury Lab near Warrington. IBM has a hybrid work model with 3 days onsite expected. Your role and responsibilities We seek applications from innovative researchers with machine learning and artificial intelligence expertise to join our Climate and Sustainability and our Sustainable Materials team. You will tackle challenges at the forefront of AI, advancing generative and multi-modal … Intelligence focusing on computer vision, LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth. Expertise in one or more AI areas, including transfer learning, model distillation, surrogate … models, and reinforcement learning. Research experience in designing and developing domain-specific and/or generalisable models. Preferred technical and professional experience Strong research skills in large AI models for materials, geospatial and climate applications. Demonstrated experience in developing, training, and testing generative models, such as LLMs or multi-modal foundation models. Demonstrated ability to communicate research through publications More ❯

environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation … Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics, and More ❯