Lecturer in Artificial Intelligence

UCL Eastman Dental Institute

London

8 months ago

Applications closed

Related Jobs

View all jobs

Lecturer Humanities Data Science

Subject Matter Expert - Data Science (Part-Time, Fractional appointment)

About the role

● To conduct impactful research in AI and to publish findings in leading journals and conferences.
● To contribute to the development, planning, and implementation of a high-quality curriculum, ensuring alignment with department standards and goals.
● To actively pursue funding opportunities for research, including interdisciplinary projects that align with impactful AI applications.
● To organize and manage collaborations with a diverse range of external partners, fostering industry engagement and supporting student project opportunities.
● To supervise and assess MSc student projects, including those involving external clients, ensuring students gain practical and impactful experiences.
● To undertake administrative duties related to teaching, assessment, and module coordination, supporting the efficient delivery of MSc programs.
● To organize and participate in events, seminars, and workshops that promote UCL’s MSc programs, especially those in AI for Sustainable Development and AI for Biomedicine and Healthcare, to industry and academic audiences.
● To mentor and support students, providing feedback and guidance to help them succeed academically and professionally.
● To engage in continuous professional development in university teaching and research, staying current with advancements in AI and pedagogy.
● To carry out any other duties as are within the scope, spirit and purpose of the job, the title of the post and its grading as requested by the line manager or Head of Department.

About you

Candidates should hold a PhD in Artificial Intelligence or a closely related field and demonstrate a comprehensive understanding of core AI topics, including the fundamentals of machine learning, deep learning, and probabilistic modelling. Additionally, the role requires expertise in real-world AI applications and an awareness of their societal, environmental, and economic impacts. The post-holder will teach modules within the MSc AI for Domain Applications programs and carry out teaching and assessment duties as assigned by the department.

FURTHER DETAILS:

A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below. If you have any queries regarding the vacancy or the application process, please contact Prof. Delmiro Fernandez-Reyes ()

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.