8 of 8 Reinforcement Learning Jobs in the Thames Valley

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

interested in working on real world data like no other Viridien is expanding its capabilities in agentic AI, large language models and reinforcement learning for complex scientific and enterprise workflows.We are looking for a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent systems … real world data.About the TeamLearn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien.Key responsibilitiesDesign and develop single-agent and multi-agent systems for complex workflows.Build reasoning, planning, task decomposition, memory ...

interested in working on real world data like no other? Viridien is expanding its capabilities in agentic AI, large language models and reinforcement learning for complex scientific and enterprise workflows. We are looking for a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent … world data. About the TeamLearn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilitiesDesign and develop single-agent and multi-agent systems for complex workflows. Build reasoning, planning, task ...

Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience … working with physical robots, navigating the challenges of sim-to-real (sim2real) transfer, and deploying robotic systems into production environments. What you will do Learning-Based Planning and Control for Real Systems Develop data driven planning and control systems for autonomous excavation that generalize across machine models and soil ...

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 ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision-Language … Vision-Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing ...

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 … 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. Travel Up to 10% travel, including international travel ...

numerical discipline. Knowledge of quantum computing principles, especially benchmarking, calibration, verification, or validation; and/or experience in data science, data engineering, or machine learning applied to areas such as reinforcement learning, digital twins, or black-box optimisation. The 'Nice-to-Haves' Hands-on experience working with ...