Senior Machine Learning Data Engineer – Cambridge

A rapid-growth robotics firm seeks a senior data engineer specialising in machine learning data to develop the infrastructure supporting intelligent robotic operations in logistics. The position involves designing scalable data pipelines for large unstructured datasets such as images, videos, and sensor data, as well as collaborating with AI, robotics, and software teams to enhance data quality and accessibility. Candidates should have expertise in Python, SQL, cloud platforms like AWS, and data processing frameworks such as Spark or Ray, alongside a solid understanding of data modelling for machine learning. They will support feature engineering, data validation, and automation workflows to optimise model training and deployment. The role requires strong problem-solving abilities, experience with large-scale datasets, and familiarity with machine learning lifecycle concepts and MLOps practices. The successful applicant will be responsible for monitoring, maintaining, and evolving machine learning data infrastructure to support innovative robotics applications.