Principal Machine Learning Engineer - Clinical AI

Healthcare systems face growing pressure to do more with limited resources. To address this, we must shift towards early detection and prevention.

We are one of the first class IIb certified multimodal AI Clinical Decision Support tools (EU:MDR) and have unprecedented access to multimodal data across hundreds of thousands of patients in real-time.

This is a career-defining opportunity. You'll scale us from a single use case to a full platform of clinical AI models, building the insights clinical teams trust to catch emerging risks early, save time, improve outcomes, and ultimately a human digital twin.

About the role

Sanome is at a defining moment, our platform MEMORI is regulated, embedded and the 1st use case (predicting infections and downstream complications like sepsis) is live in clinical practice. The opportunity now is to scale this into a clinical intelligence platform with 100s of clinical AI models.

This is a hands-on building role. You'll be in the code, data and models every week — architecting, training and validating clinical AI yourself, and setting the technical bar for how it is built here through design review, code review and mentoring. You'll design, train, and validate across many different clinical data modalities and settings fusing whatever the problem demands.

Every clinical AI model has to earn its place in a clinician's day, answering the who, what, when and why. Done well, that means catching deterioration and risk earlier, across more of the hospital and into the community, for millions of patients.

What you will do

Build and own the platform - Design, train, and validate production clinical AI across the portfolio. Own the reusable, multi-modal infrastructure and explainability layer that ships fast and safely. With Product and Clinical, choose what to build next, weighing clinical value, data, and regulatory burden. With QARA and Clinical, lead validation to prove each model meets its intended use, then work with engineering to get it production-ready.

Monitor and maintain -Own model performance once deployed. Drift, bias and fairness monitoring, local calibration, continual learning and domain adaptation. Understand how this feeds our PMS/PMCF obligations and think about PCCP.

Set the technical bar -You are the benchmark for how clinical AI is built here. Setting technical direction, making the calls on architecture and modelling approach, and raising the standard through design review, code review and mentoring.

Communicate and represent - Be Sanome's technical voice for clinical AI externally, through conferences, webinars, white papers, and co-authored publications, building our credibility with clinicians, partners, and the wider field.