This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for an AI/ML Engineer based in United Kingdom.
This is an opportunity to develop AI and machine learning solutions that support the personalization of digital therapies and improve patient outcomes.
You’ll work with longitudinal real-world health data to build models that can predict risks and enable more adaptive approaches to care.
The role spans the full ML lifecycle, from data pipelines and model development through validation, deployment, and production integration.
You’ll collaborate closely with engineering and multidisciplinary teams to translate advanced models into reliable digital health products.
A strong focus on explainability, reproducibility, privacy, and regulatory.
Accountabilities: Design, develop, train, and evaluate supervised and unsupervised machine learning models using longitudinal and real-world health data.
Build scalable and reliable data pipelines supporting model training, testing, validation, and deployment.
Work closely with software and engineering teams to integrate ML models into production Software as a Medical Device (SaMD) and digital therapeutic solutions.
Establish robust processes for model reproducibility, monitoring, evaluation, and performance optimization.
Apply appropriate techniques for real-world signal processing, data preparation, featu.