Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lecturer or Associate Professor in Machine Learning and Creative AI

UCL Eastman Dental Institute
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lecturer Humanities Data Science

About the role

We are seeking world-class talent with an exceptional research track record to join our academic team at the rank of Lecturer or Associate Professor. The post-holder will play a key role in shaping the rapidly developing field of Machine Learning and Creative AI within Computational Media and Creative Practice, while benefiting from the broader academic environment, including UCL’s Centre for Artificial Intelligence.

Candidates should possess expertise in Machine Learning, with areas of interest that include but are not limited to: probabilistic modelling, statistical learning theory, reinforcement learning, generative models, causality, ethical machine learning, and deep learning. The successful candidate will demonstrate sustained excellence across all areas of academic life, with a focus on Machine Learning and Creative AI. This cross-disciplinary post will allow the appointee to explore experimental and creative approaches in the field, contributing to our innovative research agenda

Collaboration is central to this role, and the successful candidate will work closely with colleagues in the BA Media programme, the School of Creative & Cultural Industries (SCCI), and the wider UCL East campus. The post-holder will be responsible for developing cutting-edge teaching materials for the BA Media programme, focusing on Machine Learning, Creative AI, and Games, as well as contributing to cross-faculty modules. They will also bring their specialism to our Master’s and PhD programmes.

This position is open across Grade 8 and Grade 9, depending on the appointee’s experience, and represents an exciting opportunity for researchers eager to contribute to and expand UCL's efforts in next-generation AI and interdisciplinary research.

About you

You should hold a PhD in Computer Science, Creative Computing, or a closely related discipline by the time of your appointment, with a strong background in a relevant subject area that aligns with our focus on growing research and teaching in Machine Learning and Creative AI. The ability to demonstrate how your expertise will contribute to the ongoing development of this field within the context of our cross-disciplinary approach is essential.

The ideal candidate will possess evidence of experience in teaching and supervising academic work, including at undergraduate, master’s, and doctoral levels, although this is desirable rather than a strict requirement.

Your application form should address all the person specification points and should clearly demonstrate how your skills and experience meet each of the criteria.

It is important that the criteria are clearly numbered and that you provide a response to each one.

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 (pro rata for part time staff) Additional 5 days’ annual leave purchase scheme (pro rata for part time staff) 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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.