Lecturer in Artificial Intelligence Education (Programme & Software Development (Academic Education

The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway).

This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK.

We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university.

The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices.

King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave.

The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position.

Key responsibilities include:

Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions.

Deliver high-quality online teaching focused on hands-on AI development, including topics such as:

• Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation).
• Applied machine learning and deep learning implementation.
• Practical use of AI frameworks, libraries, and development tools.
• Building, testing, and deploying AI-enabled applications.
• Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice.

Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds.

Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities.

Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities.

Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation.

Working Pattern

This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely.

This is a full-time appointment, and you will be offered an indefinite contract.

To be successful in this role, we are looking for candidates to have the following skills and experience:

The successful candidate will demonstrate:

• Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds.
• Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable).
• Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence.
• Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team.

Essential criteria:

• PhD in computer science, artificial intelligence or related field.
• Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds.
• Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods
• Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence.
• Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team.
• Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity.

Desirable criteria:

• Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable).
• Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals).

Closing date: 29th March 2026.