Lecturer in Computing - Digital and T Levels (FE)

University College Birmingham
Birmingham
1 week ago
Create job alert

Job Title: Lecturer in Computing - Digital and T Levels (FE)Location: BirminghamSalary: £35,116 - £42,882 per annum - AC2Job type: Permanent, Full-time / Part-timeUniversity College Birmingham is proud to have been voted 5th in the Post Graduate Education category in the prestigious 2024 Whatuni Student Choice Awards . The awards are voted for and by students showcasing the incredible relationships we foster here at University College Birmingham between Staff and Students. 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 TechnologyBTEC Level 3 Extended Diploma in Computing (RQF)Digital T LevelsAccess to HE Diploma in Computer ScienceAccess to HE Diploma in Data ScienceYou 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 year12 Bank Holidays & Concessionary DaysExcellent 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 supportAnnual health MOTs with our Registered NurseExcellent staff development opportunities including professional qualification sponsorshipA variety of salary sacrifice schemes including car, technology home and cycle.Heavily-subsidised on-site car parking in central BirminghamFree on-site gym membershipExtra 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 20th April 2025.Interview Dates - TBC.UCB 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; 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.TPBN1_UKTJ

Related Jobs

View all jobs

Lecturer/Senior Lecturer in Computer Games (0028-25) - Derby, DE22 1GB

Lecturer in Data Science

Lecturer in AI and Data Science

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.