Machine Learning Engineer Apprentice

The Science and Technology Facilities Council (STFC) invites applications for the Apprentice Machine Learning Engineer role. This apprenticeship is 24 months long and provides a unique learning opportunity within the Particle Physics Department (PPD) to develop skills in AI, data science, and high‑performance computing.

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• Salary: £24,340 per annum (rising annually)
  
• Contract Type: Fixed‑Term, 24 months
  
• Hours: Full‑time, 37 hours per week
  
• Location: Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX
  
• Closing Date: Sunday, 2 February 2026
  
• Start Date: September 2026
  

You will work alongside scientists, engineers and technologists on real projects that drive discovery, such as the Hyper‑Kamiokande neutrino experiment. The programme includes formal training, workshops, mentorship and structured learning by a dedicated Apprenticeship Coordinator.

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• Communicate and collaborate with team members daily and weekly.
  
• Participate actively in meetings and present progress using slide decks.
  
• Analyse data and design machine‑learning algorithms.
  
• Write documentation and technical notes on algorithm design.
  
• Develop models using the team’s tools and coding languages.
  
• Show initiative in learning new techniques and technologies.
  
• Engage with the wider STFC apprenticeship programme.
  
• Work independently when required and seek clarification when uncertain.
  
• Deliver high‑standard work and take responsibility for outcomes.
  

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• GCSEs in Maths and English (Grade 4/C or above)
  
• A minimum of two A‑levels (grade A or above) or three A‑levels (grade C or above) or a BTEC Level 3 in Computing (or equivalent)
  
• Basic health and safety awareness
  
• Right to live and work in the UK at the start of the programme
  
• Enthusiastic and motivated to learn formally and on the job
  
• Team working, independent learning, problem‑solving and creative visualisation skills
  
• CV/cover letter demonstrating relevant problem‑solving experience in computing, maths, physics or engineering
  
• Some knowledge and enthusiasm for computational coding and science
  

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• Level 4, 5 or 6 qualifications in a relevant area (e.g., computing, maths, physics, engineering)
  
• Experience with machine‑learning projects (academic or work)
  
• Collaborative team project experience in STEM or computing
  
• Strong written and spoken communication
  
• Ability to create presentation slides to show progress
  

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• Salary increases annually during the apprenticeship
  
• 30 days holiday plus 10.5 bank holidays and privilege days
  
• Flexible working hours
  
• Defined average salary pension scheme
  
• Public transport links and free parking
  
• Extensive learning and development opportunitiesCycle‑to‑work scheme
  

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• Evidence of GCSE Maths and English (9-4 or A*–C) is required.
  
• Residency eligibility criteria must be met; see official guidance.
  
• Initial assessment will be conducted by the training provider.
  
• Right to work documentation must be provided at interview.
  

Submit a CV and covering letter that addresses how you fulfil the essential criteria and your motivation for the apprenticeship. Online applications only are preferred. Include the job reference in filenames of uploaded documents. The application will be assessed solely on the cover letter and CV; a cover letter is mandatory.

The STFC is an equal opportunities employer. We value diversity of thought and experience and provide reasonable accommodation to candidates with disabilities. Disability‑confident and EDI support statements are available on our website.

For further information about the role and application process, visit the STFC careers site.