Machine Learning Engineer – Reading

A Machine Learning Engineer specialises in developing and deploying advanced AI systems for varied clients, supporting the full lifecycle of machine learning models. Responsibilities include designing scalable software architecture, collaborating with cross-functional teams, and establishing deployment standards. The role requires expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn, along with strong Python and software engineering skills. Experience with cloud infrastructure, containerisation, and orchestration tools like AWS, Docker, and Kubernetes is essential. Candidates should possess solid understanding of ML concepts including statistics and probability, and be adept at communicating complex ideas clearly. The position offers flexible working options including remote and on-site work, with travel to client locations, subject to security clearance requirements.