AI Evaluation Engineer - Impact & Safety for PublicServices

Incubator for Artificial Intelligence

Manchester

Hybrid

GBP 46,000 - 60,000

Full time

20 hours ago
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Benefits offered by this job

Cycle to work
Dental insurance
Hybrid work arrangement
25+ days leave

Job summary

The Incubator for AI (i.AI) is hiring two AI Evaluation Engineers to focus on model-level evaluation of accuracy, bias and safety. You will design evaluation pipelines and work with product and engineering teams to embed evaluation from day one through to scale, ensuring responsible AI across public services.

You'll turn findings into actionable recommendations, collaborate with domain experts on high-quality datasets, and help stakeholders understand real-world impact.

Qualifications

  • Experience in a scientific, analytical or engineering role.
  • Ability to design experiments and interpret results.
  • Experience evaluating AI/ML systems.
  • Strong communication of technical findings to diverse audiences.
  • Proficiency in Python and version control (Git).

Responsibilities

  • Designing and building evaluation pipelines and experiments for AI products.
  • Running model and system evaluations to test accuracy, bias, safety and overall performance.
  • Working with product and engineering teams to integrate evaluation from day one through scale.
  • Partnering with domain experts to create and maintain high-quality golden datasets and benchmarks.
  • Turning evaluation results into clear, practical recommendations for product teams.
  • Helping teams understand the real-world impact of their products on public services.
  • Communicating findings to both technical and non-technical audiences through reports and presentations.
  • Developing reusable evaluation approaches that work across many products and services.

Skills

Analytical thinking
Python
Git
Experimental design
AI/ML evaluation
Communication

Tools

Git

Job description

The Incubator for AI (i.AI) is hiring two AI Evaluation Engineers to focus on model-level evaluation of accuracy, bias and safety. You will design evaluation pipelines and work with product and engineering teams to embed evaluation from day one through to scale, ensuring responsible AI across public services.

You'll turn findings into actionable recommendations, collaborate with domain experts on high-quality datasets, and help stakeholders understand real-world impact.

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