Chief AI Scientist at tortus.ai
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-13
Listing for:
Jack & Jill/External ATS
Full Time
position Listed on 2026-01-13
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Chief AI Scientist
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack.
Company Descriptiontortus.ai - Leading clinical AI startup building medical-grade autonomous systems
Job DescriptionAs the Chief AI Scientist , you will spearhead the development of autonomous clinical AI systems designed to revolutionize healthcare delivery. You will be responsible for leading the AI function, setting rigorous standards for medical-grade performance, and building technology that aims to 10x clinician capability globally while ensuring compliance as a registered Medical Device.
LocationLondon, UK
Why this role is remarkable- Lead the creation of a first-of-its-kind autonomous clinical AI system that is set to define how healthcare is accessed over the next decade.
- Work at the cutting edge of health-tech within a company building registered Medical Devices, ensuring your AI research has immediate, life-saving real-world impact.
- Join a high-growth startup environment where you define the AI roadmap and influence the foundational architecture of the future of medicine.
- Lead and scale the internal AI research and engineering functions to develop state-of-the-art autonomous clinical decision systems.
- Define the technical strategy for achieving medical-grade reliability and regulatory compliance for AI-driven medical devices.
- Collaborate with clinical experts to translate complex medical requirements into robust, scalable machine learning models and architectures.
- Possesses a PhD or equivalent deep expertise in Machine Learning, Computer Science, or a related field with a focus on high-stakes AI applications.
- Demonstrates a proven track record of leading AI teams and delivering complex, production-ready systems in regulated environments like healthcare or biotech.
- Exhibits a visionary mindset with the ability to bridge the gap between frontier AI research and practical, safety-critical product implementation.
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