Ai Intern

Job description

Intern – Data & Machine Learning (AI Infrastructure)

Company: Norse3

Website: https://www.norse3.com

Location: UK (Remote)

Duration: Internship (3–6 months, flexible)

Start Date: Flexible

Salary: Minimum wage plus expenses

About Norse3

Norse3 is an early-stage AI infrastructure and governance business building secure, compliant “AI rails” for regulated industries. Our platform focuses on AI risk management, data governance, and control layers that sit alongside modern AI systems. We operate at the intersection of machine learning, cybersecurity, and regulatory compliance, working with financial services, professional services, and other regulated environments.

You will be joining a small, fast-moving team where your work will be directly visible and impactful.

Role Overview

We are seeking a motivated intern to support our data and machine learning workstreams. This role is hands-on and suited to someone who wants real exposure to how AI systems are built, structured, and governed in a commercial setting.

The role will focus on data input, data structuring, model support, and experimentation, rather than purely theoretical research.

Key Responsibilities

• Collect, clean, label, and structure datasets used in machine learning pipelines
• Assist with data input and maintenance across internal AI systems and tooling
• Support model training, testing, and evaluation under guidance from senior team members
• Help document datasets, assumptions, and model behaviour for internal and compliance use
• Work with small datasets initially, scaling to more complex data as the platform evolves
• Assist in building and maintaining simple scripts or notebooks (Python-based)
• Contribute to experimentation around prompt engineering, model behaviour, and risk controls
• Support the wider team with ad-hoc analytical or technical tasks as required

Required Skills & Experience

• Currently studying (or recently graduated in) Computer Science, Data Science, AI, Machine Learning, Mathematics, or a related discipline
• Basic working knowledge of Python
• Familiarity with data structures, datasets, and basic ML concepts
• Comfort working with spreadsheets, CSVs, and structured data
• Logical, detail-oriented, and comfortable working independently
• Strong written English for documentation and internal notes

What You’ll Gain

• Real-world experience in an early-stage AI infrastructure business
• Exposure to how machine learning systems are deployed in regulated environments
• Direct access to senior decision-makers and technical leadership
• Practical experience that goes well beyond academic coursework
• The opportunity to influence systems and processes from an early stage
• Potential for the role to extend or convert into a longer-term position

Working Style

• Small team, minimal hierarchy
• High trust, high responsibility
• Practical, outcome-focused work rather than “intern busywork”
• Flexibility around hours to accommodate studies

Extra information

Status

Open

Education Level

Secondary School

Location

London

Type of Contract

Full Time Jobs

Published at

04-02-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English