A deep-tech healthcare AI company is looking for a Senior AI Healthcare Engineer to lead the development of machine learning systems that help clinicians make better diagnostic decisions. The company builds AI that integrates directly with clinical imaging equipment and hospital workflows, combining proprietary datasets, clinical expertise, and cutting-edge computer vision research into products used in real clinical environments.

This is not a standard ML engineering role. It sits at the intersection of research science, clinical collaboration, and product impact — requiring someone who can work on long-horizon R&D one day and translate that work into a deployable, regulatory-grade system the next.

The company is strategically backed by a major global medical device manufacturer and providing significant resource, stability, and access to world-class imaging technology, while operating with the speed and ambition of a scale-up.

The Role
You will own the development and validation of AI models for medical imaging, designing novel algorithms, managing clinical datasets, and driving research initiatives that shape the product roadmap for years ahead.

You will work directly with clinicians and medical specialists, translating complex diagnostic workflows into machine learning problems and building the evidence base needed for regulatory validation.