Machine Learning Engineer

About the role

The Applied Machine Learning team owns production systems and pursues new ideas from conception through to deployment and iterative improvement. You will work with clinicians, assessors, and engineers to build reliable ML systems that help bring medical devices to market faster. You will own meaningful problems in how medical devices are assessed, defining success with domain experts and taking ML systems through deployment and measurable improvement.

Responsibilities

• Build agents that search, parse and visually inspect technical files and evidence.
• Develop custom agent harnesses for retrieving information across large document collections.
• Define success with assessors and build datasets and benchmarks to measure retrieval quality and citation correctness.
• Build useful agents that respect the impartiality and objectivity required of a certification body.

Required skills

• Applied Machine Learning
• Deep learning
• Agent systems
• Information retrieval
• Systems design
• Software deployment

Nice to have

• Agent systems with tool use
• Retrieval systems
• Document-understanding systems

About the Company

Scarlet is authorised to assess and certify medical devices, combining clinical, technical and regulatory expertise with AI agents and software to help technology companies keep pace with product development.