2 of 2 Permanent Reinforcement Learning Jobs in Oxfordshire

Strong programming skills in Python (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 practices: version control (Git), code … GCP). Deep expertise in 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. STARTING COMPENSATION In addition to your base compensation, we offer a generous Total Rewards More ❯

Postdoctoral Research Assistant in Machine Learning Grade 7: £38,674 - £46,913 per annum (Inclusive of Oxford University weighting) Description We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year with the possibility of … renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims to improve the accessibility … LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is essential. Informal enquiries may be addressed to Dr. Yangchen Pan: For More ❯