At a Glance
- Tasks: Develop AI solutions and support engineering projects with real-world impact.
- Company: Join Thales, a global tech leader shaping the future of defence and security.
- Benefits: Earn while you learn, enjoy flexible working, and receive comprehensive training.
- Other info: Dynamic work environment with opportunities for growth and volunteering.
- Why this job: Kickstart your career in AI with hands-on experience and a recognised qualification.
- Qualifications: A Levels in Maths and a relevant subject; passion for engineering is key.
The predicted salary is between 24000 - 24000 £ per year.
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.
Start Date: 06 September 2027
Salary: £24,000 per annum
Employee type: Permanent
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:
- Earn a salary while studying for your qualification
- Gain hands-on experience in a real engineering environment
- Receive job-specific training and development
- Achieve a recognised engineering qualification
- Secure a permanent role from the start of your apprenticeship
- Have your tuition fees fully paid
About the Role
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.
Your responsibilities may include:
- Working with Underwater Systems specialists and software developers to create novel solutions
- Developing solutions with our partners across the multinational Thales organisation, academia and industry
- Participating in testing and validation activities
- Assisting with engineering investigations and problem solving
- Visiting customer sites, platforms and installations to support surveys, trials and system deployment where required
- Working with experienced engineers on live projects
What You Will Learn
Throughout the apprenticeship, you will gain experience and knowledge in:
- Professional engineering behaviours and industry best practice
- Understanding and working with complex engineering systems
- Different engineering roles and activities across live projects
- The Systems Engineering Lifecycle and key engineering processes
- Requirements capture, requirements management and system design techniques
- Systems Engineering tools and methods
- Testing, integration, verification, validation and qualification (IVVQ) activities
- Structured and methodical approaches to problem solving and investigation
Apprenticeship Programme
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:
- Instructor led live workshops (28 days)
- Interactive labs and self-paced learning
Programme structure:
- AI System Development and Automation
- AI Solution Design and Testing
- Deep Learning and Transformers
- Business Process Optimisation with AI
- Security, Ethics and Explainable AI
- Leading AI and Future Innovation
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.
Entry Requirements
To apply, you will need:
- A Levels: Three A Levels Grade B or above in Maths and at least one other relevant subject (Physics, Computer Science, Software, ICT) Or Level 4/5 apprenticeship in a relevant discipline
- GCSEs: Minimum of five GCSEs at Grade 9-4 (A-C) English and Maths
Please note that Computer Science graduates are not eligible due to funding restrictions.
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)
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 NUMBER 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. In addition, this role supports a UK Eyes Only programme and is therefore subject to government-mandated nationality restrictions. To satisfy the security clearance requirements for access to highly sensitive information, applicants must have been British citizens from birth and must not hold any other nationality. This requirement is determined by the UK Government and is a condition of programme access rather than an employment preference.
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.
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 Thales in the UK – Innovate with us and shape the future!
Machine Learning Apprentice - Level 6 AI Engineer in Templecombe employer: Thales
Thales is an exceptional employer, offering a dynamic work environment in Glasgow where innovation meets collaboration. With a strong focus on employee development, competitive benefits including a performance-related bonus and generous leave policies, and a commitment to inclusivity, Thales empowers its employees to thrive while contributing to critical projects in the Sea sector. Join us to be part of a team that values your unique strengths and supports your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Apprentice - Level 6 AI Engineer in Templecombe
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Machine Learning Apprentice - Level 6 AI Engineer role you’re after at Thales.
✨Show Off Your Projects!
Don’t be shy about showcasing your engineering projects. Whether it’s a funky app, a mechanical design, or a complex algorithm, having a solid portfolio on platforms like GitHub can really make you stand out. Plus, it gives potential employers at Thales a taste of what you can bring to the table!
✨Engage with Online Communities
Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Thales.
✨Apply Through Company Websites
When you spot a role like Machine Learning Apprentice - Level 6 AI Engineer at Thales, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.
We think you need these skills to ace Machine Learning Apprentice - Level 6 AI Engineer in Templecombe
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like Machine Learning Apprentice - Level 6 AI Engineer, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Thales a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Thales specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at Thales
✨Brush Up on Core Engineering Principles
Before heading into the interview with Thales, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like Thales want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.