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Location:
Manchester All Saints Campus
Faculty / Function:
Academic Services
Salary:
Grade 6 (£31,236 to £34,610)
Closing Date:
30 August 2026
Contract Type:
Permanent
Contracted Hours per week:
35
Technical Officer - AI & Software Development
This role forms part of an exciting recruitment campaign within Technical Services, as we invest additional focus and resource into strengthening our capability across broadcast media technologies and the fast-evolving AI landscape. We are growing our Digital Arts team so that students and academics continue to benefit from industry-leading equipment, expertise and support as these fields advance at pace, and this is a great opportunity to help shape that development from the ground up.
About our team:
Technical Services are a large and diverse team of highly skilled technical professionals who ensure the optimal functioning of specialist spaces and resources to deliver an exceptional student experience. We work in specialist laboratories, workshops, studios, resource centres and IT facilities.
Our technical professionals play a key role supporting, guiding, and advising students across our university from sciences, art, design and technology, through to sports, ceramics, nursing and physiotherapy.
About the role and you:
This role sits in the Digital Arts team, who provide specialist technical support to the School of Digital Arts (SODA) and the wider Arts & Humanities Faculty through managing studio spaces, supporting the delivery of Technical Skills Sessions to students and providing support to academics. The ideal candidate will offer positive and proactive support and have demonstrable expertise in AI, machine learning and software development, with particular emphasis on GPU/AI compute systems in a lab/workshop teaching environment.
They will be experienced in:
Python, PyTorch, TensorFlow and Hugging Face
GPU and AI compute systems (NVIDIA GPUs, CUDA, cuDNN)
reproducible development environments (Docker, Conda, Jupyter, Git)
data and model workflow management, including dataset handling and version control
local inference and model deployment
They will support students and academics in developing industry-standard AI and software development skills, from experimentation through to reproducible deployment, within a research-active teaching environment. Experience of GPU/AI compute administration and contributing to enterprise or research projects would be advantageous, as well as the ability to demonstrate and instruct to a high standard.
The role will involve supporting staff and students on a diverse number of customer-facing specialist counters and support areas. The successful candidate will have a proven track record of accomplishment in a similar environment. Additionally, they will have a positive and flexible approach to work, be reliable and punctual as well as motivated and willing to undertake all required training and allocated tasks. They will have the ability to work alongside others and be capable of working in a team, whilst striving to deliver excellent customer service. Strong communication and interpersonal skills are key as well as being able to demonstrate ownership of personal workload.
At Manchester Metropolitan University, we are committed to supporting our technical staff in enabling them to undertake development activities in line with the needs of their specialism and work area, so a willingness to learn and develop is essential.
If you are enthusiastic about this area, flexible, and committed to providing a high level of customer service, we would love to hear from you.
How to apply:
To apply for this vacancy please submit a covering letter (no more than one-page A4) and a CV (no more than two pages A4), addressing how you meet the essential criteria of the post via our online portal.
Click "Apply Now" to submit your application. Please note that applications must be submitted through the online portal, applications received by email will not be considered.
If you would like more information about this vacancy, please contact Leighton Moody, Technical Services Manager. Email: l.moody@mmu.ac.uk
Please note, interviews are provisonally scheduled for the week commencing 28/09/2026
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