Applied Machine Learning Engineer
Liverpool, Lancashire, United Kingdom
Hybrid/Remote Options
Hybrid/Remote Options
Lstmed
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: Design, develop, and validate machine learning and … statistical models for analysing multimodal sensor data Optimise algorithms for deployment on embedded systems to support real-time health assessment. Collaborate with electronics engineers to interface machine learning models with handheld and wearable sensor systems Develop pipelines for real-time data acquisition and feature extraction and evaluate model performance and system-level integration Establish rigorous data governance More ❯
Employment Type: Permanent
Salary: GBP Annual
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