> Markdown version of [/jobs/ext/4175151-teaching-assistant-in-artificial-intelligence-practices](https://www.wearedevelopers.com/jobs/ext/4175151-teaching-assistant-in-artificial-intelligence-practices). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Teaching Assistant in Artificial Intelligence Practices - **Company:** Ucl School Of Management - **Location:** London, UK - **Salary:** £46,634.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Python (Programming Language), Machine Learning, Large Language Models, Software Library - **Published:** October 31, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb64825ece0563f2ef357a89ccfbfa08d2/eaa ## About the Role The successful candidate will hold a Master's degree or have equivalent qualifications, professional qualifications, and experience in a management-related field relevant to the course modules they are interested in supporting. They will have a good understanding of core AI and machine learning concepts and their application to real-world problems, alongside a strong quantitative background and the ability to evaluate model performance, interpret statistical results, and assess the validity of experimental methods and conclusions. Experience with Python and common machine learning libraries is desirable, while practical experience in developing AI applications, particularly tools based on large language models (LLMs), would be an advantage. They will also have excellent working knowledge of MS Office applications, including Word and Excel, as well as email and the internet. ## Description Teaching Assistants (TAs) will supplement academic lectures through the delivery of group teaching (for example, in seminars and workshops) and associated duties for students taking modules in the School of Management. Associated duties may include marking of coursework and exams. The post holder will report to the leader of the module(s) they support, and the appointment will be available from 07 January 2027 to 30 June 2027.