National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lecturer in Computing - Digital and T Levels (FE)

Birmingham
5 days ago
Create job alert

Job Title: Lecturer in Computing - Digital and T Levels (FE)
Location: Birmingham
Salary: £35,116 - £42,882 per annum - AC2
Job type: Permanent, Full-time / Part-time
UCB is an equal opportunities employer. We are TEF rated Silver, with a Good Ofsted rating.
The Role:
Are you ready to inspire the next generation of tech professionals? Join our academic team and be a part of our growth!
Whether you have teaching experience in Further Education or are an industry expert eager to transition to academia, our expanding Computing Department provides the ideal opportunity to make a lasting impact in Further Education.
University College Birmingham's School of Engineering, Digital and Sustainable Construction in partnership with The University of Warwick is developing a cutting-edge facility right in the heart of Birmingham. Using only the best resources and high-tech kit in the sector, you will have one of the most inspiring environments to work in alongside outstanding academic support from across the sector.
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 computing programs including:

  • BTEC Level 2 Information and Creative Technology
  • BTEC Level 3 Extended Diploma in Computing (RQF)
  • Digital T Levels
  • Access to HE Diploma in Computer Science
  • Access to HE Diploma in Data Science
    You will prioritise practical application and demonstration over theoretical instruction, ensuring students gain real-world skills and experience.
    Why University College Birmingham?
    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.
    Benefits:
  • Generous allocation of annual leave
    • 38 days' paid leave per year
    • 12 Bank Holidays & Concessionary Days
  • Excellent Local Government/Teachers' Pension Scheme
    • Employer Contributions
      • Teachers' Pension Scheme - 28.6%
  • Subsidised private healthcare provided by Aviva including a Digital GP Service.
  • Employee Assistance Programme inclusive of counselling services, financial wellbeing support and bereavement support
  • Annual health MOTs with our Registered Nurse
  • Excellent staff development opportunities including professional qualification sponsorship
  • A variety of salary sacrifice schemes including technology home and cycle.
  • Heavily-subsidised on-site car parking in central Birmingham
  • Free on-site gym membership
    Extra Information:
    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 10th August 2025.
    Interview Date - TBC.
    Please click APPLY to be redirected to our website to complete an application form.
    Candidates with experience or relevant job titles of; 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

Related Jobs

View all jobs

Lecturer in Data Science and Analytics

Lecturer in Data Science and Analytics

Lecturer in AI & Data Science

Lecturer in Artificial Intelligence (AI), Data Science, and Machine Learning

Lecturer in Data Science (Non-Tenured)

Senior Lecturer in Data Science with Astrophysics, Cosmology and/or Gravitation, Portsmouth, UK

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.