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A leading university in Birmingham is seeking a Lecturer in Computing (Data Science and AI) to inspire tech professionals. This role involves delivering inclusive teaching, focusing on practical applications to help students succeed. You will join a growing department, benefiting from generous annual leave and excellent professional development opportunities. The ideal candidate will have relevant experience and a commitment to teaching. This is a full-time or part-time permanent position with an attractive salary range.
Job Title: Lecturer in Computing (HE) (Data Science and AI)
Location: Birmingham
Salary: £38,784 - £43,482 per annum - AC2
Job type: Permanent, Full-time / Part-time
The University is unlike any other. Standing proud in the heart of the city of Birmingham, they have been delivering career-focused education and training for decades. With around 8000 students across FE and HE level provision, the University is highly respected by employers and industry in meeting the region’s skills needs.
The University’s mission is to promote and provide the opportunity for participation in the learning process by those with the ambition and commitment to succeed and to maintain a learning community that meets the diverse needs of our students, the economy and society at large.
Ready to inspire the next generation of tech professionals? Join our growing Computing Department and play a key role in shaping the future of Higher Education.
As a Lecturer, you'll deliver inspiring and inclusive teaching that supports all students in achieving their full potential. This role will focus on teaching a range of Data Science and AI related modules on our HE programmes, where you'll help shape and guide future leaders in the field.
You will prioritise practical application and demonstration over theoretical instruction, ensuring students gain real-world skills and experience.
Growing Department: Be part of a team that's thriving and expanding every year.
Supportive & Inclusive: Join a collaborative, diverse environment.
Career Development: Access ongoing professional growth opportunities.
Industry Connections: Work with industry partners, bringing real-world learning into the classroom.
All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.
Closing Date - Sunday 11th January 2026.
Interview Date - Tuesday 27th January 2026.
The University is an equal opportunities employer.
Please click APPLY to be redirected to our website to complete an application form.
Candidates with experience or relevant job titles of; Data Science Lecturer, AI Lecturer, Computing Lecturer, Tech Lecturer, Computing Tutor, Computing Teacher, Cloud Technician, IT Support Engineer, IT Service Engineer, Service Desk Technician, IT Support Technician, Cloud Support Engineer, Support Technician, 1st Line Support Engineer, IT Support, IT Systems Support may also be considered for this role