AI & Data Science Degree Apprenticeship — Earn While You Learn

Thales; Glasgow; Hybrid; GBP 22,000 - 26,000; Full time

Benefits offered by this job

Hybrid/flexible working options

Competitive salary (£24,000)

Contributory Company Pension

Health Care Cash Plan

Learning and development support

Employee discounts

80 Hours Volunteering

Job summary

Thales in the United Kingdom is offering an AI Engineer Apprenticeship, blending university study with hands-on AI and engineering work. You will collaborate across machine learning lifecycles with software, data, systems and domain specialists to build secure, maintainable AI-enabled solutions.

You will learn data preparation, ML model development, cloud tooling, MLOps, and responsible AI practices, while pursuing a Glasgow Caledonian University degree.

Qualifications

• Highers: 96 UCAS points and Maths or Computing
• A foundation apprenticeship will be equal to one Higher at B
• A modern apprenticeship SCQF Level 6 equal to two Highers at B

Responsibilities

• Preparing, exploring and validating data for machine learning use cases
• Developing and evaluating machine learning models and AI-enabled software components
• Writing clean, tested and documented code using appropriate engineering tools and practices
• Supporting model integration, deployment, monitoring and performance improvement
• Contributing to technical reviews, experiments and structured problem solving
• Working with experienced engineers and researchers on live projects

Skills

Data preparation

Machine learning

Programming

Software engineering

Version control

Automated testing

MLOps

Cloud

Responsible AI

Lifecycle management

Education

Highers

Tools

Git

Job description

Thales in the United Kingdom is offering an AI Engineer Apprenticeship, blending university study with hands-on AI and engineering work. You will collaborate across machine learning lifecycles with software, data, systems and domain specialists to build secure, maintainable AI-enabled solutions.

You will learn data preparation, ML model development, cloud tooling, MLOps, and responsible AI practices, while pursuing a Glasgow Caledonian University degree.