Applied machine learning engineer

Job Description

Applied Machine Learning Engineer

Contract: Fixed-term until July 2029

Location: Liverpool, hybrid (minimum 3 days on site per week)


Are you ready to push the boundaries of AI-driven sensing and digital diagnostics, contribute to technological innovation, and develop transformative tools for global health applications?


We’re looking for an Applied Machine Learning Engineer to join our multidisciplinary research and development team and play a key role in advancing intelligent healthcare sensor technologies within the Infection Innovation Technology Laboratory (iiTECH). You’ll develop and implement predictive algorithms and data models that enhance the analytical and decision-making capabilities of next-generation handheld and wearable sensing devices for the detection, monitoring, and prevention of infectious diseases.


You’ll contribute to the full innovation lifecycle, from data acquisition and model development to real-time implementation within embedded systems and clinical validation. You’ll work closely with engineers, biomedical scientists, clinicians and software developers to ensure predictive models are seamlessly integrated into sensor platforms for rapid and reliable health assessments.


Key responsibilities include: