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🟢 Actively Hiring · Posted 24d ago ⏳ Closes in 67 days UK Corridor 🛡️ UK Work Eligibility 🏢 College / University

Lecturer in Artificial Intelligence and Data Science

Salary Range
£36,382 - £43,434
£3,032 - £3,620 / mo

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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Corridor Right-to-Work Match UK Work Eligibility

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Wolverhampton, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark
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Position Overview & Specifications

We are seeking to recruit two enthusiastic individuals to fill the role of Lecturer in Computer Science (Artificial Intelligence and Data Science).

We are seeking to recruit two enthusiastic individuals to fill the role of Lecturer in Computer Science (Artificial Intelligence and Data Science).

Home to 23,000 students, the University of Wolverhampton is amongst the UK's largest academic institutions, distinguished for its superior teaching quality profile, solid performance in third-stream income generation, and continually improving REF metrics. Our extensive building and refurbishment initiatives have established a wealth of enviable teaching and learning resources, remarkable laboratory provision, and state-of-the-art IT facilities.

The Department of Computing and Mathematical Sciences provides a diverse range of modern, professionally accredited programmes. This includes Foundation Year, Undergraduate, Taught Postgraduate, Transnational Education, Degree Apprenticeships, Online Distance-Learning MSc, and Doctoral level study opportunities. Our course offerings span from Computer Science, Cyber Security, Information Technology, and Mathematics to emerging fields such as Artificial Intelligence and Data Science. The Department is a crucial component of the School of Engineering, Computing, and Mathematical Sciences, housed within the Faculty of Science and Engineering.

You will collaborate with staff and students in the pursuit of both individual and collective research endeavours within the wider School and Faculty, contributing to established research groups and furthering your respective research domains. It would be highly desirable for you to have a proven track record of disseminating research outputs and achievements in high-quality scientific or technical journals, along with the potential to attract research funding and generate external income.

You must hold a Master's degree (or equivalent) in Artificial Intelligence or Data Science, or a very closely related subject, and exhibit a commitment to the organisation and delivery of undergraduate and postgraduate programmes across the Department's subject areas, with a particular focus on Artificial Intelligence and Data Science. Membership of a professional body is a prerequisite. A PhD in Artificial Intelligence or Data Science would be highly desirable.

You will work in a multi-disciplinary team of professionals and academics, cooperating closely with all staff, both academic and non-academic, at School and University levels. You will be expected to forge connections and collaborations with the wider academic community, uphold our accreditations with professional bodies, establish strong industrial partnerships, and foster collaborations with other external stakeholder groups to disseminate knowledge and enhance the reputation of the Department.

You will demonstrate key attributes including drive, compassion, and perseverance. You should be enthusiastic, capable of motivating your team, possess excellent communication and interpersonal skills, display a flexible approach to work, and be able to prioritise a demanding workload. You should also be able to identify areas for continuous development and improvement within your subject area.

The University of Opportunity for Students and Staff

As part of our commitment to ensure the diversity of our staff body reflects those of the student and local communities we serve, we particularly welcome applications from candidates of Black, Asian, or Ethnic Minority heritage, and candidates who are Disabled (including people who may not define themselves as disabled, but nevertheless encounter challenges)

PLEASE NOTE: Applications are scored against the criteria set out in the job description and person specifications attached to this advert. Applications are not assessed against the job advert so please ensure your applications are crafted against the Job Description and Person Specification contained within it.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

🇬🇧 Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.

🏛️ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

⚖️ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Colleges & Universities

Recruitment Insights

Based on transatlantic hiring benchmarks for Lecturer in Artificial Intelligence and Data Science roles across University of Wolverhampton's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Colleges & Universities.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked £36,382 - £43,434 bracket, including retirement vesting and health parity.

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Hiring Organization
University of Wolverhampton

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Location: Wolverhampton, England
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