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
2 weeks 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 6th July 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

Associate Lecturer in Data Science

Associate Lecturer in Data Science

Data Scientist Degree Apprentice - Level 6 via Nottingham

Data Scientist Degree Apprentice - Level 6 via Nottingham

Data Analytics - Skills Bootcamp for Employability

Data Analytics Skills Bootcamp for Employability

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.