Lecturer in Computing x 3

Glasgow Caledonian University
Glasgow, Scotland
31 months ago
Applications closed
Posted
6 Oct 2023 (31 months ago)

Advert

The roles are full time but we will consider requests for flexible workingarrangements, including job share

Glasgow Caledonian – the largest and leading modern university in Scotland - is a vibrant, values-led university with campuses in the heart of Glasgow and London. With a strong commitment to high quality education and research which supports the communities we serve, we have strong partnerships with employers to ensure our students get the careers they dream of and deserve.

In we rocketed into the top universities in the UK in the highly regarded Guardian University Guide, were ranked the UK’s nd top performing modern university in the inaugural Daily Mail guide, and entered the top highly coveted UK universities in the Times and Sunday Times Good University Guide for the first time. We are the top performing modern University in Scotland in all three guides. We are the only Scottish university with EcoCampus Platinum accreditation and were ranked second in Scotland for sustainability in the most recent People and Planet league table.

With a wide range of professionally accredited courses and links with over industry partners, we have the highest proportion of undergraduate level graduates in highly skilled occupations (%) compared to other Scottish modern universities - with % of our students in employment or further study within fifteen months of graduating (HESA ). We are Scotland’s leading provider of Graduate Apprenticeships. We are committed to widening participation, helping more people from diverse backgrounds into university. With campuses in Glasgow, London and New York, we have transnational partnerships around the world, supporting more than , students from nearly countries.

Our research is addressing many of today’s biggest global challenges. We are unsurpassed by any other Scottish modern university for the level of research (%) considered to be world leading or internationally excellent. Our health research is surpassed only by King’s College London for outstanding impact, and % of our communications, culture and media research is rated as having an outstanding or very considerable impact (REF).

Guided by our values – integrity, responsibility, creativity and confidence - we transform the lives of the people and communities we serve.

The Department of Computing, within the School of Computing, Engineering and Built Environment is a dynamic and vibrant academic community with a strong track record of applied research, innovative teaching and award-winning knowledge transfer activities. We wish to appoint an enthusiastic academic who can play a leadership role in the School, has relevant research expertise, and can deliver on technical modules in the Computing and Software Engineering areas at undergraduate and postgraduate level.

The successful candidates will hold a PhD, or a relevant Masters qualification level and be enrolled on a PhD programme which they are likely to complete within months, and/or equivalent significant industry experience along with membership of a relevant professional body. We are seeking individuals who have a passion and enthusiasm to deliver innovations in learning and teaching and to enhance our research and our knowledge exchange activities. Areas of expertise required include but are not limited to Software Development, Software Engineering, Data Science, Artificial Intelligence, Cloud Computing, Data Engineering, Internet of Things and Secure Software Development.

All applicants must complete the online application form detailing how they meet the essential and desirable requirements for the role. A short covering letter highlighting why you feel you are suitable for this position (-page maximum) and a short, summary CV ( pages maximum) may also be included.

As the University for the Common Good, we are committed to embedding equality, diversity and inclusion, as well as our values in everything that we do. As such, we welcome applications from all suitably qualified candidates who demonstrate the .

Glasgow Caledonian University is committed to a fair and transparent recruitment process that is free from bias so that we can attract and retain a high performing workforce which makes a critical contribution to our success​.

The University holds the prestigious Athena SWAN Silver institution award, which recognises our significant record of activity and achievement in promoting gender equality across different disciplines.

The School of Computing, Engineering and Built Environment is committed to promoting equality, diversity and inclusion, and is one of only two such Schools in Scotland to hold the prestigious Athena SWAN Silver Award for promoting gender equality and women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) and allied STEMM subjects (surveying, environment and management of all themes) in higher education.

As a Disability Confident 'Committed' employer, we are striving to ensure that our recruitment process is inclusive and accessible to disabled people. Although the Disability Confident 'Committed' level does not guarantee an interview for disabled applicants, we will make reasonable adjustments for disabled applicants during the recruitment process.

The University also holds the Carer Positive ‘Engaged’ employer award, which recognises our commitment to supporting staff with caring responsibilities.

Glasgow Caledonian University are committed signatories to the . 

The University offers a range of benefits including opportunities for professional development, family friendly policies, cycle to work scheme and onsite childcare facilities.

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.