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AI roles in regulated health

AI and data roles where the hard part is the safety case, not the model.

What hiring in AI actually involves

In regulated health, the constraint on AI is almost never modelling capability. It is the clinical safety case, the evaluation standard, and whether the organisation can defend a deployment to a regulator.

The roles we handle sit at that intersection. They suit people with genuine ML literacy who are energised rather than frustrated by clinical risk management.

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