At AgileRL, we are on a mission to democratise access to reinforcement learning for building human-level artificial intelligence systems. We have just raised a £1.5 million pre-seed round from Octopus Ventures and Counterview Capital. We believe that reinforcement learning will form a part of every sophisticated AI system of the future. It is already having a huge impact on the world we live in, from its use in creating LLMs like ChatGPT, to enabling autonomous vehicles to make decisions. Reinforcement learning enables AI models to plan and achieve objectives, but currently very few companies or individuals have the resources to leverage this powerful machine learning paradigm. AgileRL is building an enterprise-grade reinforcement learning operations (RLOps) platform and a state-of-the-art open-source framework to eliminate these barriers to entry. Our framework has already achieved 10x faster training and hyperparameter optimisation than leading RL libraries. Our RLOps platform, built on top of our open-source framework, is focused on four key areas - simulation, training, deployment and monitoring.

Engineering and Information Technology

Experience with API integration (Rest API or GraphQL), familiarity with performance monitoring tools

Flexible working from home and 6-month remote working policies, competitive salary with significant stock options, 30 days holiday plus bank holidays, learning budget, company pension, enhanced parental leave