2027 AI Engineer Apprentice - AI and Data Science Graduate Level Apprenticeship
AI in this role
AI engineer apprentice developing, evaluating, and deploying machine learning models and AI-enabled software components.
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.
2027 AI Engineer Apprentice - AI and Data Science Graduate Level Apprenticeship
Start Date: 06 September 2027
Salary: £24,000 per annum
Employee type: Permanent
Location: Glasgow
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 artificial intelligence, 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:
- Earn a salary while studying for your qualification
- Gain hands-on experience in a real AI and engineering environment
- Receive job-specific training and development
- Achieve a recognised Level 6 qualification
- Secure a permanent role from the start of your apprenticeship
- Have your university tuition fees fully paid
About the Role
As an AI Engineer Apprentice, you will develop the technical knowledge, practical skills and professional behaviours needed to design, build, test and deploy dependable AI-enabled solutions.
Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions.
Your responsibilities may include:
- 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
What You Will Learn
Throughout the apprenticeship, you will gain experience and knowledge in:
- Professional engineering behaviours, teamwork and industry best practice
- Programming, software engineering, version control and automated testing
- Data preparation, feature engineering and data quality techniques
- Machine learning methods, model selection, training and evaluation
- Deployment patterns, MLOps, monitoring and lifecycle management
- Cloud, compute and development tools used to deliver AI solutions
- Responsible AI, security, privacy, safety and regulatory considerations
- Structured approaches to troubleshooting, experimentation and continuous improvement
Degree Apprenticeship Programme
You will study towards an AI and Data Science Graduate Level Apprenticeship qualification with Glasgow Caledonian University, developing the knowledge, skills and behaviours required to build and apply artificial intelligence responsibly in an engineering environment.
The programme is delivered through a blended learning approach, combining:
- On campus study
- Live virtual lectures
- Online learning resources
- Self-directed study
Programme structure:
The BSc (Hons) AI and Data Science (Graduate Apprenticeship) will equip you with the knowledge and skills required to succeed in your role within Thales. Providing a strong foundation across data and AI, this programme will help you to learn how to manage, explore, analyse, understand and visualise data, alongside technical skills such as software development and machine learning.
Delivered over 4 years, you will achieve:
Year 1: Certificate of Higher Education in Computing
Year 2: Diploma of Higher Education in Computing
Year 4: BSc (Hons) AI and Data Science (Graduate Apprenticeship)
Entry Requirements
To apply, you will need:
Highers
- 96 UCAS points
- Four Highers (BBCC) including Maths or Computing
- A foundation apprenticeship will be equal to one Higher at B
- A modern apprenticeship SCQF Level 6 in a relevant discipline will be equal to two Highers at B
Benefits
- 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)
Thales Apprentice Recruitment Process
1. Apply Online - submit your application online to register your interest. You only need to register for one role as you will have the opportunity to apply for additional roles at the full application stage.
2. Upload Your CV
3. Check your emails for the invitation to apply – this will come from recruiting@jobalerts.thalesgroup.com
4. Complete Your Application – follow the link provided in the email to complete your application. You can apply for one primary role and up to 3 additional roles.
5. Complete Online Tests - undertake the online assessments designed to evaluate your suitability for the role.
6. Virtual Assessment Centre - candidates who progress from the online assessment stage will attend a virtual assessment centre, which will include group exercises, and competency-based interviews.
7. Job Offer – successful candidates who perform well throughout the recruitment process will receive a job offer from Thales.
For further information about our Future Talent recruitment process, including hints and tips, or to connect with a member of the Future Talent Team, a Graduate, or an Apprentice, please visit Thales Future Talent - Connectr.
Please note, assessment centres for shortlisted candidates will be held between February - May 2027. Induction week for all Graduate and Apprentices will take place from Monday 6 September - Friday 10 September 2027.
Closing date: 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.
PLEASE NOTE THAT ROLES MAY CLOSE EARLIER THAN THE ADVERTISED DEADLINE IF WE RECEIVE A HIGH NUMER OF APPLICATIONS. WE ENCOURAGE YOU TO APPLY AS SOON AS POSSIBLE TO AVOID MISSING OUT ON THIS OPPORTUNITY.
Because of the work we do at Thales, all roles are subject to security requirements.
To be considered for this position, you must have the permanent right to work in the UK and be able to successfully complete and maintain UK Government security checks, including Baseline Personnel Security Standard (BPSS) screening and Security Clearance (SC), which is a government background check, before starting employment.
To be eligible for SC clearance, you will typically need to have lived in the UK continuously for the last five years. As part of the vetting process, you will be asked to provide evidence of your identity, right to work in the UK, any time spent overseas during the last five years, and your employment and/or education history.
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.
Join Thales in the UK – Innovate with us and shape the future!
How we rate this
2027 AI Engineer Apprentice - AI and Data Science Graduate Level Apprenticeship at Thales rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Safety, Machine Learning, Artificial Intelligence, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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