About the company
An early-stage, well-funded digital health company building a regulated AI platform for personalised healthcare, starting with pregnancy and women's health. They've raised £10m+ from leading integral health funders, which gives them around three years of runway. The leadership team brings together clinical, technical and entrepreneurial experience, including a successful digital health exit and leadership of a major international maternal health research programme. The Senior Machine Learning Engineer role You'll be one of the first ML engineers, working with the Head of AI to shape how machine learning is built, validated and deployed in a regulated medical product. It's a hands-on role for someone who enjoys getting models into production and backing them with rigorous evidence. Build clinical prediction and personalisation models on real-world health data Own the MLOps foundations: data pipelines, experiment tracking, model registry,



controlled release and monitoring Design evaluation and validation that stands up to clinical and regulatory scrutiny (calibration, subgroup performance, drift) Produce the model evidence for Class I/II medical software (ISO *, IEC *, ISO *) Strong experience shipping production ML in Python, with solid software engineering habits Hands-on MLOps on a major cloud platform Experience working with sensitive health data, ideally in a regulated or clinical setting women's health or pregnancy, clinical prediction, digital therapeutics, wearables, FHIR, or taking regulated products from the UK to the US. Meaningful influence on an AI function at an early stage, not an inherited system Remote-first working and a highly experienced leadership team This Senior Machine Learning Engineer role is paying £100,000 to £130,000 + equity. #

📌 Senior Machine Learning Engineer (España)
🏢 Techmunity
📍 España