Description Science and Technology Facilities Council (STFC) Salary: £24,340 per annum (rising annually throughout the apprenticeship) Contract Type: Fixed-Term, 24 months Hours: Full-time, 37 hours Location: Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX Closing Date: Sunday, 2nd February 2026 Interview Date: Feb 2026 / Mar 2026 Start Date: September 2026 Are you fascinated by cutting-edge science and emerging technologies? Join us as an Apprentice Machine Learning Engineer and play a hands-on role at the Rutherford Appleton Laboratory Particle Physics department to support world-class research and innovation. This is a unique opportunity to work alongside scientists, engineers, and technologists—contributing to real projects that drive discovery in areas like data science, AI, and high-performance computing. If you're curious, analytical, and ready to build a career at the intersection of software and science, we’d love to hear from you. About an Apprenticeship at STFC We’re looking for enthusiastic and motivated individuals ready to develop their skills through formal training and hands-on experience. As an apprentice, you’ll gain real-world experience, build technical and professional skills, and contribute to cutting-edge research and innovation in a dynamic, supportive environment. You’ll be fully supported throughout the programme with regular check-ins from a dedicated Apprenticeship Coordinator, structured training, practical experience, and mentorship from industry professionals. Plus, you’ll have access to workshops, a peer network, and career development support, helping you feel confident and prepared for new challenges. Why join the PPD Group at STFC? The Particle Physics Department (PPD) undertakes and funds world-leading research and development, and data analysis, in particle physics. We are major collaborators on world leading neutrino experiments, dark matter experiment, as well as on the Large Hadron Collider detectors at CERN. We work closely with other departments such as Scientific Computing and Technology. Machine learning algorithms play a very important role in particle physics experiments as those experiments produce huge amounts of data that has to be analysed to extract the all-important physics. One such experiment is the upcoming Hyper-Kamiokande experiment that is currently being built in Japan. It will be the largest underground neutrino detector in the world, and will start taking data in 2028. This is a great time to join the team to implement machine learning solutions that will benefit the experiment and increase the significance of its findings, potentially having a real impact on cutting edge scientific discoveries. Qualifications gained Machine learning engineer / Skills England Level 6 Qualification in Machine Learning – Please note: this course is limited to Level 6 content only. It does not include Levels 4 or 5 and does not lead to a full degree qualification. What you’ll learn: You will gain an understanding of the fundamental knowledge that underpins machine learning and AI. You will cover the tools and techniques needed to develop machine learning models as well as the mathematical and statistical theory underpinning those models. You will cover deep neural networks as well as cyber security for machine learning. You will gain an understanding of data engineering principles and the deployment and monitoring of machine learning. Training provider The qualification will be delivered by Learn Tech: AI, Data & Digital Tech Apprenticeships and Training - LearnTech You will attend remote weekly workshops and complete self-driven tasks in line with the course content. What You’ll Be Doing – Day-to-day responsibilities Communicate and work with fellow team members on a daily and weekly basis. Take an active role in meetings. Present progress in slides to update team members (small group) at regular intervals, weekly or bi-weekly, both onsite and occasionally in conference calls. Analyse data in order to design machine learning algorithms. Write documentation/technical notes to document the design of the algorithm. Use a variety of tools and technologies and coding language(s) used by the team to develop the machine learning algorithms. Show initiative especially regarding learning new things. Participate in the wider department and STFC apprentice training programme. Work independently at times and ask questions if unsure. Take responsibility and aim to deliver work of a high standard. Entry Requirements The below criteria will be scored during Shortlisting (S), Interview (I) or both (S&I). We are looking for the following: Essential GCSEs in Maths and English (Grade 4/C or above) (S) A minimum of two A levels at grade A or above OR three A levels at grade C or above OR a BTEC Level 3 in Computing (or similar subject) or equivalent Please give subjects and resulted/expected results in CV An awareness of basic health and safety (I) Right to live and work in the UK at time of starting employment (S) Enthusiastic and motivated to learn, both in the workplace and through formal training (I) Ability to work in a collaborative team (I) Ability to work/learn independently and carry out own research/study to progress with the work (I) Ability to examine evidence and data to solve problems (I) Ability to visualise multi-dimensional problems and be creative (I) The CV and/or cover letter should explain why you have applied for the Machine Learning apprenticeship scheme and should contain examples that involved solving problems and learning, especially in the areas of computing, maths, and/or physics and engineering (S) Some knowledge and enthusiasm for computational coding and science (maths, physics) (S) Good at keeping things on track and getting tasks done on time (I) Desirable Level 4, 5 or 6 qualifications in a relevant area such as computing, maths, physics, or engineering Please give subjects and results / expected results in CV (S) Some understanding of and experience in Machine Learning, either through academic studies or work experience. (S&I) Prior experience having worked on a team project or assignment that involved collaborative work in a STEM/computing area (S&I) Good communication skills, both written and spoken (I) Ability to create slides (powerpoint, keynote or similar software) to present and evidence progress (S) Important Information To complete the apprenticeship, you will need to evidence passes at 9-4 or AC in GCSE (or equivalent) Maths and English. For those sitting their GSCEs in Summer 2026, we would need evidence of your predicted grades. When applying for an apprenticeship, there is a set residency eligibility criteria that must be met by the applicant. To check your eligibility please click here. The training provider will also ask you to complete an initial assessment during the application process. If you already have a qualification in this subject area or similar please include, as an attachment, your transcript outlining the grade/s achieved and modules covered. By applying for this apprenticeship, you are giving permission for your details to be shared with the relevant training provider. We will be in touch after the closing date, however, please reach out on apprenticerecruitment@ukri.org if you have any questions. Employee Benefits Your salary will increase annually as you progress through your apprenticeship, in line with policy. 30 days holiday (in addition to 10.5 bank holidays and privilege days). Flexible working hours. An excellent defined average salary pension scheme. Easily accessible public transport links/ free parking. Excellent learning and development opportunities. Cycle to work scheme. For a list of our full benefits, please visit here. As this job does not fulfil the UK Government minimum criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y How to apply Part of our application process involves submitting your CV and a cover letter. Your cover letter should address your suitability for the opportunity based how you meet each essential criteria stated in this advert. Please note that we hold the right to close this vacancy early if a sufficient number of applications have been received. We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Together, our scientists, technologists, engineers and business support team explore the unknown across every field you could think of. And they turn what they find into work that changes the world around us. What could you achieve with the world-leading facilities and experts of one of Europe's largest research organisations by your side? Join us and discover what's possible!