AI Researcher Apprentice — Level 6 (Degree)

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

Benefits offered by this job

Salary during study

Hybrid/flexible working

Pension

Healthcare plan

Tuition fees paid

Job summary

Thales is offering an AI Researcher Apprentice position as a Level 6 Machine Learning apprenticeship with Corndel. The programme combines academic study with on-the-job experience in a UK engineering environment, leading to a permanent role and funded degree.

The role operates under hybrid/flexible working arrangements with a start date of 06 September 2027. You will work with AI researchers and engineers on live research projects, performing literature reviews, designing experiments, building

Qualifications

• Three A Levels
• Grade B or above in Maths
• At least one other relevant subject (Physics, Computer Science, Software, ICT)
• Minimum of five GCSEs at Grade 4/C or above
• Must include English Language and Mathematics

Responsibilities

• Reviewing technical literature and summarising relevant methods and evidence
• Designing controlled experiments and defining clear evaluation criteria
• Preparing data and developing proof-of-concept machine learning models
• Analysing results, limitations, uncertainty and potential sources of bias
• Documenting methods and communicating findings through reports, demonstrations and reviews
• Working with experienced researchers and engineers on live research challenges

Skills

English language

Mathematics

Education

Three A Levels

Maths (Grade B or above)

GCSEs (Five at Grade 4/C or above)

Job description

Thales is offering an AI Researcher Apprentice position as a Level 6 Machine Learning apprenticeship with Corndel. The programme combines academic study with on-the-job experience in a UK engineering environment, leading to a permanent role and funded degree.

The role operates under hybrid/flexible working arrangements with a start date of 06 September 2027. You will work with AI researchers and engineers on live research projects, performing literature reviews, designing experiments, building