Lecturer - Degree Apprenticeships (Data and AI)
Skills
About the role
All Locations
All Locations:
London (International House), Manchester (Colony Piccadilly)
Vacancy Type
Vacancy Type
Permanent
Business Area
Business Area
QA
Function
Function
Delivery
About The Role
Lecturer - Degree Apprenticeships (Data and AI)
Location: Home Based
Your Role:
As a Lecturer in the Degree Apprenticeship team in QAA you will be working with learners that are studying alongside full-time work to develop themselves in their professional specialism. We teach using Blended Learning, which means that our Lecturers support learners through the development of online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshop. The role of a Lecturer includes delivery of workshops, marking and module leadership.
Key Responsibilities:
To design and take ownership for multiple modules on the Degree Apprenticeship programmes, and to contribute to the delivery of high quality learning. This will include online support throughout the programme and delivery of a series of face-to-face live online workshops
Development of course materials for a number of modules, including video for online learning, exercises, slides and assessments
To contribute to the wider team activities on assessment and teaching as required.
To make an active contribution to ensure continual programme improvements, and that all apprentices receive a high quality learning experience.
Act as moderator and peer reviewer for other modules on a termly basis.
Feedback from apprentices in evaluations judge the quality of learning to be “very satisfied” or “satisfied”, using the Satisfaction score calculation to ensure a target of a minimum of 90% is achieved.
Teaching and learning practice are consistently judged to be ‘good’ or ‘ outstanding’ as part of the regular peer observations of teaching and learning.
Learners achieve good outcomes and demonstrate significant distance travelled throughout the programme.
The programme is delivered to meet the requirements of their accredited Higher Education status.
To ensure marking expectations and university SLA’s are met.
Your Experience:
Excellent communication skills.
A logical thinker and a passion to achieve.
Ability to deliver practical and engaging teaching and learning sessions.
Industry experience within subject area.
Excellent, detailed knowledge of Data including:
AI & Machine Learning Expertise
Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool using AI agents)
Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems
Programming & Frameworks
Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models.
Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
Understanding of equity and diversity issues.
Essential Qualifications:
A post-graduate degree (MSc or similar)
Desirable Qualifications:
PhD or working towards one
Subject specific qualifications
Teaching qualifications
Experience supervising Masters Projects
About Us
What We Offer
Wellbeing & benefits
Your wellbeing matters to us. That’s why we offer benefits designed to help you recharge and thrive, including:
27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays
Holiday Buying scheme
Medicash plan, Wellhub, Cycle to Work scheme
Private Medical Insurance at corporate rates
Employee Assistance Programme
Employee Discounts Benefit Hub
3 Development days
2 Charity days per year
Pension Scheme
Early Friday Finish at 4pm
Personal growth
Learning and opportunity is at the core of what we do - and that applies to you too!
You’ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you’ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content on a variety of tech and business topics. Orperhaps you’d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things.
Our people
As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments.
A little about QA
At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners in the last 3 years.
Our Mission
We teach the critical AI, technology, digital and Human skills needed to transform and succeed in a changing world.We do this through tailored learning programmes that connect learning across an organisation, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solutions draw from deep expertise across Apprenticeships, Instructor-led training, Self-paced Learning and Blended Learning.
You can find out more about us at https://www.qa.com/about/careers/
Questions about this role
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.