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Thales UK in Templecombe is offering a 2027 Machine Learning Apprentice – Level 6 AI Engineer. Start date 06 September 2027. This degree apprenticeship combines academic study with on‑the‑job experience in our Specialist Underwater Systems Engineering team.
You will help deliver novel AI solutions for Royal Navy and export customers, with a 37‑hour week and a 23‑month programme that covers AI system development, testing, integration, and security/ethics.
Location: Templecombe, United Kingdom
Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.
Start Date: 06 September 2027
Salary: £24,000 per annum
Employee type: Permanent
Location: Templecombe
Working Schedule: Monday – Friday, 37 hours a week (8 hours Monday – Thursday, 5 hours Friday)
Turn your curiosity into a career. If you're passionate about engineering, eager to learn, and looking for a degree apprenticeship that combines academic study with exciting on-the-job experience, we'd love to hear from you.
Benefits of the programme:
As a Machine Learning Apprentice, you will develop the technical knowledge, practical skills and professional behaviours needed to become a confident and capable engineer.
Working as part of our Specialist Underwater Systems Engineering team, you will support the rapid delivery of novel solutions, ensuring that our Royal Navy and export customers have the capability needed in today’s fast paced environment to carry out their critical missions, keeping them and our nation safe and secure.
Throughout the apprenticeship, you will gain experience and knowledge in:
You will study towards a Level 6 in AI Engineer Apprenticeship with QA. The AI Engineer programme gives you the skills to design, build, and deploy advanced AI systems - including generative AI and deep learning. You’ll move from concept to real-world application. Creating solutions that scale and deliver impact.
The programme is 23 months in duration and is delivered via a virtual delivery model combining:
On completion of the programme, you will have the opportunity to achieve the Microsoft Certified: Azure AI Engineer Associate (AI -102) in addition to the IfATE L6AIE Qualification.
To apply, you will need:
Please note that Computer Science graduates are not eligible due to funding restrictions.
Competitive salary of £24,000 per annum
Performance-related pay uplifts
Holiday entitlement of 201 hours a year (plus a company day and bank holidays)
Contributory Company Pension
Health Care Cash Plan
Hybrid/flexible working options
Employee assistance programme
Learning and development support
Employee discounts and wellbeing initiatives
Life Cover
80 Hours Volunteering per year (first two years)
Our applications will close at 11.59pm on Wednesday 17 February 2027, this is the only time we will be accepting applications this year. Please note, we will be in contact by the end of February 2027 with details of next steps.
For further details of the evidence required to apply for security clearance please follow this link - https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels.
Thales is an equal opportunities employer and diversity, and inclusion are integral to the success of Thales.
At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here.
We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here.
If this role isn’t quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here.
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