Lecturer / Senior Lecturer

University of Bath
Taunton
9 months ago
Applications closed

Related Jobs

View all jobs

Lecturer/Senior Lecturer in Data Science (Physics/Astronomy/Mathematics)

Lecturer / Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Lea[...]

Lecturer / Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Lea[...]

Lecturer/Senior Lecturer Data Science

Lecturer/Senior Lecturer in Data Science (Physics/Astronomy/Mathematics)

Lecturer/Senior Lecturer Data Science

Lecturer / Senior Lecturer
Department: Computer Science
Salary: Salary for a Lecturer (Grade 8) is £46,735 rising to £55,755 per annum. Salary for a Senior Lecturer (Grade 9) is £57,422 rising to £66,537 per annum
Closing date: Open until filled
The Department of Computer Science wishes to appointup to seven academicsin Artificial Intelligence and Machine Learning to strengthen our rapidly growing AI & Machine Learning Research Group.
We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. The Department of Computer Science hosts the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI), which brings together AI challenges across science, engineering, humanities and social sciences. Also hosted by the Department of Computer Science is the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), offering a range of exciting opportunities for AI research around virtual production, motion capture and volumetric capture. In addition to university and external HPC resources, the department has its own cloud service with over 80 GPUs.
As a department, we will offer you support and growth opportunities, including career mentoring, and opportunities to progress, manage and lead. We will help you to develop collaborations with regional, national and international application sector partners, for example in entertainment, sport, defence and healthcare. We will support the deepening of existing academic collaborations and the development of new ones. You will offer us a strong academic record and the ability and enthusiasm to create an engaging experience for our excellent students.
The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the UK.
About the role
Research
You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society, for example, by working with industry, developing spin-outs, collaborating with charities, influencing policymakers, or delivering talks and demonstrations to inform and excite wider audiences.
Teaching
You will design and deliver teaching materials for lectures, tutorials, and labs. You will be educating and inspiring some of the brightest students in the country, delivering an engaging experience and a supportive programme.
Helping with the running of the department
You will have a few internal roles to help the Department run smoothly. For instance, you might help with student placements, ethics processes, recruitment and admissions or lead a research team.
The support and growth opportunities we provide
Training for an HEA fellowship qualification
New Lecturers will be enrolled into the Pathway to HEA Fellowship. Senior Lecturers will have the option to do so. This course will give you skills and support to help you in the teaching aspects of the role. After completing the course, you will become a Fellow of the Higher Education Academy.
Mentoring
All of our staff are allocated a mentor when they join. Your mentor will support you in your day-to-day job and help you progress.
Opportunities to progress, manage and lead
Were a growing team and there are lots of opportunities to grow with us.
Opportunities to collaborate and build on our networks
You will be able to work with and build on the strong networks we have developed across sectors to help with your research and to attract more funding.
About you
Our ideal candidate for both Lecturer and Senior Lecturer positions will hold a PhD or equivalent in a relevant discipline, along with a UG degree or equivalent experience. Membership in a professional body and a higher education teaching qualification (e.g., PGCert, FHEA) are desirable.
- You should demonstrate substantial research experience in your field, with an emerging track record for Lecturers and an established research profile with funding success for Senior Lecturers
- A deep conceptual understanding of their subject, alongside experience teaching at UG/PG levels, is essential
- Strong written, verbal, and interpersonal skills, along with the ability to form positive collaborations, are required
- Senior Lecturers should also exhibit academic leadership and a clear research vision. Both roles demand excellent organisational and administrative skills
- A commitment to excellence in research and teaching, student experience, and ethical professional conduct is essential
Additionally, Senior Lecturers must have up-to-date knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy.
Applications will be evaluated on a rolling basis. We will continue to receive applications until all positions are filled.
We are also currently recruiting for a Reader.
What we can offer you
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. Were working to improve the gender balance in the Department of Computer Science, and we particularly welcome applications from women.
We are very proud to be an autism friendly university and are an accredited Disability Confident Leader, committed to building disability confidence and supporting disabled staff.
- Free counselling services through Health Assured
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff discounts on postgraduate tuition fees
- Staff discount on language courses
- Generous employer contributory pension schemes
- Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
- Free entry to the Holburne Museum in Bath
- Local discounts and more
- A family-friendly workplace
- An excellent reward package that recognises the talents of our diverse workforce
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
We are committed to continually expanding our benefits to better support you and enhance your experience with us. Find out more about our benefits on our website.
Find out from our staff what makes the University of Bath a great place to work. Follow us on X for more information.
We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.

JBRP1_UKTJ

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.