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- Tasks: Design and deliver innovative online AI education for diverse learners.
- Company: Join a prestigious UK university's growing Department of Informatics.
- Benefits: Flexible working, family-friendly policies, and support for professional development.
- Why this job: Shape the future of AI education and make a real impact on students' careers.
- Qualifications: PhD in computer science or related field; teaching experience preferred.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 of 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.
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.
Working Pattern: This is a full-time, 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:
- 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.
Lecturer in Artificial Intelligence Education (Programme & Software Development (Academic Education in London employer: KINGS COLLEGE LONDON-1
Contact Detail:
KINGS COLLEGE LONDON-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Artificial Intelligence Education (Programme & Software Development (Academic Education in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the education and AI sectors. Attend relevant events, webinars, or meetups to meet potential colleagues and learn about opportunities. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your teaching methods, programming projects, and any innovative digital learning designs you've developed. This will give hiring managers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI education and programming. Be ready to discuss how you can contribute to the MSc Applied Artificial Intelligence programme and make it stand out. We want to see your passion and ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Lecturer in Artificial Intelligence Education (Programme & Software Development (Academic Education in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI programming and software development. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects and teaching experiences!
Showcase Your Teaching Style: Since this role is all about delivering high-quality online education, let us know about your innovative teaching methods. Share examples of how you've engaged students in digital learning environments and any unique approaches you've taken in your previous roles.
Highlight Collaboration Skills: We’re looking for someone who can work well with others across different faculties. Mention any past experiences where you’ve collaborated on interdisciplinary projects or contributed to team efforts in curriculum design and delivery.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets to the right people. Plus, it shows you’re serious about joining our dynamic team at StudySmarter.
How to prepare for a job interview at KINGS COLLEGE LONDON-1
✨Know Your Stuff
Make sure you brush up on your knowledge of AI programming and software development. Be ready to discuss specific frameworks, libraries, and tools you’ve used in the past. This role is all about applied AI, so having concrete examples of your experience will really help you stand out.
✨Showcase Your Teaching Style
Since this position involves online teaching, think about how you can demonstrate your digital pedagogy skills. Prepare to share examples of innovative teaching methods you've used, especially in an online setting. Highlight any interactive elements or peer learning strategies that have worked well for you.
✨Collaborative Spirit
This role requires working with a multi-faculty team, so be prepared to discuss your collaborative experiences. Think of examples where you’ve successfully worked across disciplines or contributed to a team project. Emphasise your willingness to engage with colleagues from different backgrounds.
✨Be Inclusive
The department values inclusivity, so consider how you can make your teaching accessible to diverse learners. Be ready to talk about how you’ve designed learning materials or assessments that cater to students with varying technical backgrounds. Showing your commitment to inclusive education will resonate well with the interviewers.