ML Training & Evaluation Intern

Role overview

You’ll work on data preparation, prompt/retrieval experiments, benchmark runs, and dashboards that help us understand model behavior in real usage. This is practical ML: measurable, iterative, and tied to product outcomes.

Responsibilities

• Run evaluation harnesses and track quality changes over time
• Support prompt, retrieval, and dataset iteration experiments
• Help produce concise reports that translate ML results into product decisions
• Improve reliability of pipelines: logging, consistency checks, and documentation

Requirements

• Comfort with Python fundamentals and working with data
• Curiosity about model behavior and evaluation methodology
• Strong attention to detail (repeatability matters here)

Nice to have

• Experience with vector search / embeddings
• Dashboards or notebook workflows
• Basic LLM tooling familiarity

Internship compensation

Internships can be paid or unpaid depending on scope, location, and legal constraints. In the UK, unpaid arrangements are typically only feasible in limited situations (for example: genuine volunteering with charities/non-profits, short work-shadowing/observation, or certain structured course-related placements). If the role involves productive work that benefits the company and looks like a “worker” role, it generally must be paid at least the National Minimum Wage. We will always structure internships compliantly.

Note: This is general information and not legal advice. Final structure depends on the role and jurisdiction.