Lecturer - Degree Apprenticeships; Data and AI

About The Role Lecturer - Degree Apprenticeships (Data and AI)

Location: London,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. Web Ex 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.

• 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.

• 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:

• 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

• Advanced proficiency in Python (including Num Py, 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, Tensor Flow, Java, Lang Graph and modern model development toolkits
• Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
• Understanding of equity and diversity issues.

• A post-graduate degree (MSc or similar)

• PhD or working towards one
• Subject specific qualifications
• Teaching qualifications
  
  Experience supervising Masters Projects

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 Finishat 4pm