Lecturer in Computing (HE) (Data Science and AI)

Bluetownonline
West Midlands
1 month ago
Applications closed

Related Jobs

View all jobs

Lecturer in Computing HE Data Science and AI

Senior Lecturer in Data Science

Senior Lecturer in Data Science

BSc (Hons) Data Science

Reader in Artificial Intelligence

Reader in Artificial Intelligence

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.

The Role:

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.

Join our academic team and be part of our growth!

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 wil...

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.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.