Senior Teaching Associate (AI Engineering)
CompanyUniversity of Cambridge
Location
Cambridge, England, United Kingdom
Employment TypePart-time
Posted At6/1/2026
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (47.0%).
Occupation TypeHigher education teaching professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£52,600
(£26.97 per hour)
Occupation rate applies
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Description
About Us
Our mission is to enable professional and continuing education throughout life, and to widen access to higher education. We design, deliver and curate a portfolio of world leading short courses and award bearing qualifications in a broad range of disciplines.
The Digital Skills Team at Professional and Continuing Education (PACE) plays a pivotal role in advancing the University of Cambridge's mission to widen access to high-quality, research-informed education. Our interdisciplinary team designs and delivers pioneering career accelerator programmes that bridge the gap between academic rigour and industry relevance. Building on the success of the Data Science Career Accelerator, we are now launching the AI Engineering Career Accelerator - a new programme developed in partnership with FourthRev that equips working professionals with the skills to design, build, and deploy applied AI systems. Our work spans curriculum co-creation, content development, and the establishment of a growing portfolio of digital credentials that are trusted by employers.
The Role
We are seeking a part-time Senior Teaching Associate to provide academic leadership for the AI Engineering Career Accelerator.
Designed for professionals looking to build practical AI engineering expertise, the programme equips learners with the skills to develop and deploy applied AI systems - working with large language model APIs, retrieval-augmented generation (RAG) pipelines, autonomous agents, evaluation frameworks, and AI governance practices. The programme operates across three tracks, from software engineers deepening their AI capabilities through to professionals new to coding, and has been designed for flexible delivery alongside full-time work.
In this role, you will take academic ownership of the programme's curriculum and delivery, ensuring content is rigorous, current, applied and research-informed. You will work closely with Dr Ali Al-Sherbaz, Academic Director for Digital Skills, and collaborate with FourthRev's curriculum and industry expert teams to shape a programme that reflects both Cambridge's academic standards and the realities of professional AI engineering practice.
This post comes with, flexible working arrangements, and a rare opportunity to shape the future of applied AI education at one of the world's leading universities. If you are ready to help define what it means to teach AI engineering at professional level, we would love to hear from you.
Your skills
Expertise in applied AI engineering, including hands-on experience with large language model APIs, RAG systems, autonomous agents, or AI deployment in a professional or research context.
A strong track record in curriculum design and teaching at postgraduate or professional level, with the ability to make complex technical concepts accessible to learners from diverse backgrounds.
Experience delivering flexible, inclusive education in online or blended learning environments, and the ability to collaborate effectively across academic and industry-facing teams.
Experience applying software engineering principles to AI systems, including testing, modular design, CI/CD, monitoring, observability, reliability and lifecycle management.
A PhD in Computer Science, Artificial Intelligence, or a closely related field, or equivalent professional experience in AI engineering or applied machine learning.
Benefits
Our mission is to enable professional and continuing education throughout life, and to widen access to higher education. We design, deliver and curate a portfolio of world leading short courses and award bearing qualifications in a broad range of disciplines.
The Digital Skills Team at Professional and Continuing Education (PACE) plays a pivotal role in advancing the University of Cambridge's mission to widen access to high-quality, research-informed education. Our interdisciplinary team designs and delivers pioneering career accelerator programmes that bridge the gap between academic rigour and industry relevance. Building on the success of the Data Science Career Accelerator, we are now launching the AI Engineering Career Accelerator - a new programme developed in partnership with FourthRev that equips working professionals with the skills to design, build, and deploy applied AI systems. Our work spans curriculum co-creation, content development, and the establishment of a growing portfolio of digital credentials that are trusted by employers.
The Role
We are seeking a part-time Senior Teaching Associate to provide academic leadership for the AI Engineering Career Accelerator.
Designed for professionals looking to build practical AI engineering expertise, the programme equips learners with the skills to develop and deploy applied AI systems - working with large language model APIs, retrieval-augmented generation (RAG) pipelines, autonomous agents, evaluation frameworks, and AI governance practices. The programme operates across three tracks, from software engineers deepening their AI capabilities through to professionals new to coding, and has been designed for flexible delivery alongside full-time work.
In this role, you will take academic ownership of the programme's curriculum and delivery, ensuring content is rigorous, current, applied and research-informed. You will work closely with Dr Ali Al-Sherbaz, Academic Director for Digital Skills, and collaborate with FourthRev's curriculum and industry expert teams to shape a programme that reflects both Cambridge's academic standards and the realities of professional AI engineering practice.
This post comes with, flexible working arrangements, and a rare opportunity to shape the future of applied AI education at one of the world's leading universities. If you are ready to help define what it means to teach AI engineering at professional level, we would love to hear from you.
Your skills
Expertise in applied AI engineering, including hands-on experience with large language model APIs, RAG systems, autonomous agents, or AI deployment in a professional or research context.
A strong track record in curriculum design and teaching at postgraduate or professional level, with the ability to make complex technical concepts accessible to learners from diverse backgrounds.
Experience delivering flexible, inclusive education in online or blended learning environments, and the ability to collaborate effectively across academic and industry-facing teams.
Experience applying software engineering principles to AI systems, including testing, modular design, CI/CD, monitoring, observability, reliability and lifecycle management.
A PhD in Computer Science, Artificial Intelligence, or a closely related field, or equivalent professional experience in AI engineering or applied machine learning.
Benefits
41 days annual leave, inclusive of Bank Holidays
Defined benefits pension schemes
Flexible working options
Family-friendly initiatives
Career and Professional development opportunities
Support for health & mental wellbeing
Discounts on shopping
Rental deposit scheme
Public transport season ticket loans
Fixed-term: The funds for this post are available for 2 years in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Informal enquiries are encouraged and can be made to Dr Ali Al-Sherbaz, aa2545@cam.ac.uk
Enquires about the application process should be directed to HR@pace.cam.ac.uk
Please ensure that you upload your CV and a cover letter (the length of which must not exceed two pages)
The closing date for applications is 28 June 2026. Interviews will take place on 15 July 2026.
Please quote reference EA49279 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Defined benefits pension schemes
Flexible working options
Family-friendly initiatives
Career and Professional development opportunities
Support for health & mental wellbeing
Discounts on shopping
Rental deposit scheme
Public transport season ticket loans
Fixed-term: The funds for this post are available for 2 years in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Informal enquiries are encouraged and can be made to Dr Ali Al-Sherbaz, aa2545@cam.ac.uk
Enquires about the application process should be directed to HR@pace.cam.ac.uk
Please ensure that you upload your CV and a cover letter (the length of which must not exceed two pages)
The closing date for applications is 28 June 2026. Interviews will take place on 15 July 2026.
Please quote reference EA49279 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.