Machine learning engineer – Dartford

A machine learning engineer at Faculty will be responsible for developing and deploying scalable AI systems for diverse clients, particularly in the energy sector. They will work on bringing machine learning models from concept to production, ensuring technical feasibility and high-quality delivery, and defining best practices for deployment at scale. The role requires collaboration with cross-functional teams including engineers, data scientists, and stakeholders, with an emphasis on architectural decisions and reusable solutions. Candidates should have experience operationalising models with frameworks such as TensorFlow or PyTorch, strong Python skills, and familiarity with cloud infrastructure and container orchestration tools. Effective communication skills and the ability to work independently in a fast-paced environment are essential for success in this role.