At a Glance
- Tasks: Support students and academics in AI and software development within a creative environment.
- Company: Join Manchester Metropolitan University’s innovative Digital Arts team.
- Benefits: Flexible working arrangements, professional development, and a diverse, inclusive culture.
- Other info: Exciting opportunities for growth in a supportive and dynamic team.
- Why this job: Shape the future of AI and software development while making a real impact.
- Qualifications: Experience in Python, AI technologies, and strong communication skills.
The predicted salary is between 29700 - 36300 £ per year.
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.
Further Information
Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy.
Please note, interviews are provisionally scheduled for the week commencing 28/09/2026.
Technical Officer – AI & Software development in Manchester employer: The Manchester Metropolitan University
Manchester Metropolitan University is an exceptional employer, offering a vibrant and inclusive work culture that values collaboration and innovation. As a Lecturer or Senior Lecturer in Software Engineering, you will benefit from flexible working arrangements and extensive professional development opportunities, allowing you to grow alongside your students while contributing to cutting-edge educational practices in a dynamic urban setting.
Contact Details:
The Manchester Metropolitan University Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Officer – AI & Software development in Manchester
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Technical Officer – AI & Software development in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at The Manchester Metropolitan University.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Manchester Metropolitan University and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at The Manchester Metropolitan University
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If The Manchester Metropolitan University uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.