Lecturer​/Senior Lecturer in Artificial Intelligence Industry Experts

Overview

Thinking about a change from industry? If you're an experienced industry professional who enjoys mentoring colleagues, are a SME in your technical area, and want to explore teaching as a career option, this could be your next step. At Manchester Metropolitan University, you'll have the opportunity to shape the next generation of IT professionals
, by bringing your real-world experience into a modern, industry-focused learning environment. We are keen to engage with you if you specialise in Artificial Intelligence and are looking to join us as Lecturer or Senior Lecturer for a part time or full-time career
.

• Make a real impact - help students and apprentices launch successful careers in tech
• Stay hands-on with modern development - teach current tools, frameworks, and practices
• Better work-life balance - a more sustainable pace than many industry roles, in addition to a generous holiday entitlement of 35 days plus bank holidays and a Christmas break, coupled with a competitive pension scheme.
• Share your expertise - turn your experience into meaningful teaching and mentoring
• Structured pathways to progression from Lecturer to Professor through our Education, Pedagogy, and Citizenship (EPC) pathway. Find out more about EPC here
• Support to transition - we'll help you develop as an educator, even if you've never taught before

• Ongoing professional development (technical and teaching)
• Opportunities to stay connected with the industry
• A supportive and collaborative working culture
• If you're coming from industry, we will support you in gaining teaching qualifications and developing your academic career
• Clearly defined career development and progression

You'll design and deliver engaging, practical teaching across Levels 3-7 (foundation to postgraduate), including our highly regarded degree apprenticeships
.

This isn't purely theoretical teaching-you'll:

• Teach modern practices in Artificial Intelligence (e.g. Data Analysis & Visualisation, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, AI Ethics, Governance & Responsible AI)
• Work with apprentices employed in industry
  , bringing real-world challenges into the classroom
• Design hands-on projects and coding-based learning experiences
• Help students build the skills employers actually need

You'll be part of a collaborative academic team that values innovation, industry relevance, and student success.

We're looking for experienced computing professionals who are passionate about developing others, to join the Department of Computing and Mathematics.

You'll bring:

• An interest in mentoring, coaching, or teaching others
• A desire to share your knowledge and support student success
• The ability to communicate complex technical ideas clearly
• Significant industry experience is welcome or a PhD in Computer Science (or related field) is equally valued
• If you are an expert in Artificial Intelligence, you may be currently working as a Quantitative Analyst, Research Data Scientist, Machine Learning Engineer, MLOps Engineer, AI Governance Specialist or Mentor.
• Strong experience in applying AI or Data Science to real-world problems.

• To apply, please submit a CV and cover letter outlining how your profile, experience and ambition make you an ideal candidate for the role.
• We will be shortlisting and conducting interviews for this vacancy iteratively throughout the advertising period. We therefore encourage applicants to apply for this vacancy when ready to do so to ensure your application is reviewed at the most appropriate time.
• Should you be successful, our interview process for this vacancy will be a 2-stage process.
• Stage 1 - Panel interview and presentation delivery, chaired by the Head of or Deputy Head of Department of Computing and Mathematics. Stage 1 interviews are expected to be scheduled in the w/c 20 July, 03 August, 17 August and 14 September
• Stage 2 - Interview with Mark Sterling, Faculty Pro Vice Chancellor and Professor Darren Dancey, Head of Department of Computing and Mathematics. Stage 2 interviews are expected to be scheduled in the w/c 27 July, 24 August and 21 September
• For an informal chat about the role, contact Professor Darren Dancey, Head of Department ( pato )

To know more about our Research Community,

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 local and international communities, including those from 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…