Head of Clinical AI

Own the clinical safety case for AI features inside a regulated care pathway.

Why this role exists

The engineering team can ship models faster than the organisation can defend them. This role exists to close that gap before a regulator does it for them.

What the first twelve months look like

A documented safety case per deployed model, a clinical evaluation process engineering actually uses, and AI features live in a regulated pathway without a governance exception.

What you'll own

  • Own clinical risk management for AI-enabled features under DCB0129
  • Define evaluation standards before deployment, not after
  • Bridge clinical, engineering and governance teams
  • Represent the AI safety position to partners and regulators

What we need to see

  • Clinical background alongside genuine ML literacy
  • Familiarity with clinical safety standards and medical device classification
  • Experience shipping models into regulated environments

About the organisation

Health-tech company, roughly 250 people, AI central to the product roadmap.

What happens after you apply

  1. 1

    You hear back in one working day

    A consultant reads your CV, not a filter. You get a yes, a no, or a question.

  2. 2

    A twenty minute call

    Scope, salary, working pattern and what the employer is really like, before anyone sees your details.

  3. 3

    We introduce you, with your consent

    Your CV only goes to the client once you have agreed to the introduction.

  4. 4

    Interview and decision

    Prep from us, feedback from them, usually inside two weeks of the first call.

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