Machine Learning Engineer ApprenticeUKRI India • East Hagbourne, England, United Kingdom
Machine Learning Engineer Apprentice
UKRI India
- East Hagbourne, England, United Kingdom
- East Hagbourne, England, United Kingdom
Über
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
Apprenticeship Overview 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.
Responsibilities
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.
Qualifications Essential
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
Desirable
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
Benefits
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
Additional Information
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.
How to Apply 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.
Equality, Diversity and Inclusion 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.
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Sprachkenntnisse
- English
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