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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
- AI & Machine Learning Expertise
- Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
- Understanding of equity and diversity issues.
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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
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. Or perhaps you’d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things.
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Our people
We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. We’re proud of the progress we’ve achieved over the last few years to build an inclusive culture and celebrate our diversity.
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/
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