AI Engineer Apprentice – Level 6 ML (Paid Degree)

InternHunt; Crawley; Hybrid; GBP 22,000 - 26,000; Full time

Benefits offered by this job

Salary while studying

Hybrid/flexible working options

Tuition fees paid

Permanent role from start

Job summary

Thales in the UK is offering a 2027 AI Engineer Apprentice (Level 6 Machine Learning) role. Start date is 06 September 2027 with a salary of £24,000 per annum. The position is permanent and includes hybrid/flexible working options and a clear route towards a permanent role from day one.

The apprenticeship blends academic study with hands-on experience in AI and engineering, and includes tuition fees paid, with training across data preparation, model development and deployment lifecycle.

Qualifications

• Three A Levels with B or above in Maths are required.
• At least one relevant subject (Physics, Computer Science, Software, ICT) or Level 4/5 apprenticeship is acceptable.
• Minimum of five GCSEs at Grade 9-4 including English and Maths are required.

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
• 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

Education

Three A Levels Grade B or above in Maths

Level 4/5 apprenticeship in a similar subject

Minimum of five GCSEs at Grade 9-4 including English and Maths

Job description

Thales in the UK is offering a 2027 AI Engineer Apprentice (Level 6 Machine Learning) role. Start date is 06 September 2027 with a salary of £24,000 per annum. The position is permanent and includes hybrid/flexible working options and a clear route towards a permanent role from day one.

The apprenticeship blends academic study with hands-on experience in AI and engineering, and includes tuition fees paid, with training across data preparation, model development and deployment lifecycle.