Machine Learning Engineer – Milton Keynes

A Machine Learning Engineer is accountable for developing and deploying scalable machine learning software and infrastructure, collaborating cross-functionally to meet client needs, and establishing best practices for ML deployment at scale. They should possess strong Python programming skills, experience with frameworks such as Scikit-learn, TensorFlow or PyTorch, and familiarity with cloud services like AWS, Azure or GCP, alongside container tools like Docker and Kubernetes. The role involves leading technical scope and architecture decisions, advising stakeholders, and ensuring the technical feasibility and timely delivery of high-quality ML solutions. Candidates should understand the entire ML lifecycle and core concepts including probability and statistics, as well as possess excellent communication skills to translate complex ideas to non-technical audiences. They need to adapt to fast-paced environments, own project scopes independently, and work effectively with diverse teams across technical and stakeholder groups.