- Ref. : 1000008998
- Birmingham (5th Floor)
- Birmingham
- Software Engineering Lecturer
Home based
12 months Fixed term Contract
About our 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.
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 this programme continues to improve, and that all
Skills & Abilities
Excellent, detailed knowledge of more than one topic within the required subject areas including Software Engineering.
Confident in Python programming
Experience of Agile Software Development
Familiar with the DevOps CI/CD pipeline
Aware of broader Software Engineering Methodologies and structural approaches
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
Understanding of equity and diversity issues.
Your Qualifications and Knowledge
Essential:
A post-graduate degree (MSc)
Subject specific qualifications
Desirable:
PhD
Teaching qualification
- B5 4UA
- Ref. : 1000008908
- Site Based
- Other
- Data and AI Trainer
70% Remote, 30% any QA Onsite (London, Manchester, Leeds, Birmingham, Slough)
About the role:
As an expert in your field, you will deliver QA and vendor specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios.
In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development and a passion for education.
Role Responsibilities:
Training Delivery: Deliver high quality and engaging training in line with polices, industry standards and regulatory requirements.
Performance & Quality Metrics: Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+ and achieve ‘Meeting Expectations’ in trainer observations, utilise feedback to improve performance and effectiveness of training, conduct peer observations providing constructive feedback.
Subject Matter Expertise: Act as an SME utilising your in-depth knowledge to contribute insights to internal discussions, client programmes and collaborate cross functionally
Communication: Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholders
Contribution: Support team objectives and initiatives, demonstrate accountability and reliability showing flexibility to adapt to priorities
Continuous Professional Development: Proactively maintain industry recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practices
Your Experience/Skills:
Training Delivery
Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-person
Ability to connect with diverse audiences including technical and non-technical professionals
Skills and Technical Proficiency
Strong knowledge of GenAI concepts, applications and prompt engineering
Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem.
Industry Knowledge & Experience
Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch)
Familiarity with cloud platforms (AWS, GCP, Azure)
Experience working with AI/ML engineers, data scientists, and other data professionals
Wider Requirements
Passion for education, technology, and empowering others through knowledge sharing
Qualifications:
Desirable degree in Mathematics or related field
Desirable relevant cloud vendor (GCP, AWS, Azure) certifications
- DUMMY
- Ref. : 1000008366
- Home Based
- Other
- AI Engineering Trainer (Level 6)
Home based
About our role:
We are seeking an experienced and passionate AI Engineer Apprenticeship Trainer to deliver high-quality, hands-on training in artificial intelligence and machine learning engineering. The ideal candidate will have a strong background in AI/ML concepts, software engineering, and real-world project experience, with a passion for teaching and upskilling professionals or students.
Key Responsibilities
Teach key topics including:
Machine learning algorithms (supervised, unsupervised, reinforcement learning)
Assessing Security, Ethics & XAI
Developing & Testing AI Solutions
Leading AI & Future Innovation
Deep learning (CNNs, RNNs, transformers)
Generative AI and LLMs (e.g., GPT, BERT, Diffusion models)
Data preprocessing, feature engineering, model evaluation
AI deployment and MLOps best practices
Guide learners through coding labs, projects, and capstone work using Python, TensorFlow, PyTorch, or similar tools.
Stay updated with the latest AI technologies, tools, and trends to continuously improve training content.
Assess participant progress through quizzes, assignments, and evaluations.
Collaborate with curriculum developers and other trainers to maintain a consistent and high-quality learning experience.
Data architecture, pipelines and storage
Awareness of cutting-edge AI topics (e.g. agents, RAG, RAC, MCP)
Data visualisation
Skills & Abilities
Essential:
Bachelors or master’s degree in Computer Science, Data Science, AI, or related field.
Strong programming skills in Python and familiarity with tools like Jupyter, NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
Excellent communication, presentation, and facilitation skills.
Must be able to inspire and engage on AI topics
Practical expertise with building and deploying AI models'
Desirable:
Experienced in training, mentoring, or teaching technical content to professionals or students.
3+ years of experience in AI/ML engineering or research.
Teaching qualification or willingness to work towards one
Understanding of Docker, Streamlit, FastAPI and Flask
Experience pandas, scikit-learn
- B5 4UA
- Ref. : 1000008907
- Home Based
- Other
- Machine Learning and AI Apprenticeship Coach
Remote (home-based)
Full time, 37.5 hrs per week
Job purpose:
You will join QA as an apprenticeship coach; your focus will be to provide learners with feedback and support on Data concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme.
Job Description:
Coach and support a case-load of learners through their Machine Learning Engineer L6 and/or Artificial Intelligence L7 Apprenticeship.
Collaborate with our internal Learning Specialists and course developers to ensure learners successfully achieve their apprenticeship programme on time.
Provide clear and detailed written feedback on learning activities and goal completion
Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
About you:
Recent industry experience working in an AI/ML environment
Experience across the following: Python, Statistics, Machine Learning, Generative AI, Data pipelines
A technical degree
Prior coaching experience or a background in apprenticeships is desirable but not essential
Working in a fast paced, highly compliant environment
- HOMEBASED
- Ref. : 1000008481
- London (International House)
- London
- Project Management Trainer
Location: London OR South east of England
Hybrid/remote (60-70% remote)
Employment Type: Full-time / Permanent
Are you a Project Management Trainer looking for that next step? Or maybe you’re an established Project Manager looking for a rewarding career change in training?
If you want to be part of a genuinely supportive and professional environment, teaching what you are most passionate about, then QA could be the company you’re looking to join! We’re the UKs leading IT digital skills provider – experts in upskilling, re-skilling and other talent needs required by established public sector organisations, enterprises, and higher education universities!
What’s my purpose?
When you join QA, your pivotal role will be to simply deliver high quality courses to our learners! This could be in a classroom or virtual setting, but we need enthusiasm and interactive courses to help get the best out of those we’re teaching!
What responsibilities would I have?
You’ll be delivering core PPM courses to practitioner level that is APM PMQ
You’ll support us with customization of learning topics or programmes, offering your subject level expertise and utilising it
You’ll contribute to QA’s success by reviewing learner evaluations and finding areas for improvement
You will be providing learners with post-course support through various avenues of contact where necessary
Like with most roles, you’ll need to undertake some administrative tasks too!
What do I need to apply and succeed?
You’ll be teaching project management courses, so we’d ask you have a APM PMQ
qualification OR People Cert's Managing Successful Programmes
You’ll be great in this role if you have a technical background in project management – You’ll have been a Project Manager at one point in your career!
Although it would be perfect if you had training experience already, we’re all about the desire to succeed so this is preferred but not essential by any means!
- TBC
- Ref. : 1000008554
- London
- London
- Data Apprenticeship Tutor
Home based/travel to site if required
Job Summery
Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting-edge training programs in database design and visualisations using industry standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape.
Role Responsibilities:
Craft and deliver immersive and cutting-edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations.
Collaborate and innovate with subject matter experts to develop dynamic and engaging courses and other high-impact learning assets that drive growth. Provide in-depth expert knowledge in your specialist area, offering insights cross functionally when required.
Champion quality and innovation by upholding the highest standards of excellence and drive innovation as a key ambassador for our renowned training programs.
Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting-edge in the ever[1]evolving field of data science – 3 days of free training on any of our courses available
Your Experience/Skills:
Experience in using data tools such as: PowerBi, Tableau, Data Storytelling, SQL
Proficient in the use of programming languages: Python. SQL
Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics
Desirable knowledge of apprenticeships and work-based learning
Desirable knowledge of the Ofsted Common Inspection Framework
Desirable industry experience with teaching/ coaching experience
Passion for lifelong learning and development as a profession
- TBC
- Ref. : 1000008666
- Home Based
- Other
- Digital Learning Advisor
Remote (ability to come to a QA office with advanced notice)
Full time, 37.5 hours per week
Competitive salary plus some great benefits
QA is one of the largest learning services organisations in the UK, developing skills and capabilities for everyone from apprentices to business leaders.
By powering potential – the potential of over a quarter of a million learners a year. We empower them to push boundaries and thrive in the workplace.
Working within the Digital Learning team, this role will be responsible for providing support and guidance to learners, providing a positive learner experience and ensuring the team KPI’s are met. You will also be enrolled onto a Data Technician level 3 apprenticeship.
Key Responsibilities:
Deliver engaging Programme Launch sessions to groups of learners and feedback on Day 1 Learning Submissions, ensuring they meet the required criteria.
Work with and support the team of Digital Learning Consultants, other DLA’s (where appropriate) and Learning
Specialists to ensure learners receive feedback on submissions and responses to queries within SLA.
Be available on Zendesk online chat during working hours and provide prompt responses to learner queries.
Monitor the Digital Apprenticeships mailbox and respond to any queries relating to your programme area.
Professionally engage with both employers and learners to update on progress and plan for realistic progression.
Deal with customer questions and complaints in line with Company policy where appropriate.
About you:
Excellent verbal and written communication skills
Ability to engage and motivate learners remotely
Self-motivated with a customer centric focus
Strong planning and organising skills
Ability to solve problems using experience and knowledge to overcome barriers
Desire to learn and develop
Safeguarding
QA is committed to safeguarding and promoting the welfare of children, young people and adults with care and support needs. We hold the expectation that all staff share this commitment in creating a safe and inclusive environment and as an organization, we comply with relevant legislation and best practices in safeguarding and safe recruitment.
This post is exempt from the Rehabilitation of Offenders Act 1974 and a comprehensive screening process will be undertaken on successful applicants including:
an enhanced disclosure check
Child Barring list check
qualification checks
online checks
medical fitness
identity and right to work
All applicants will be required to provide two references covering the previous three years and a Criminal Declaration form must be completed and returned ahead of interview.
We look forward to welcoming dedicated individuals who share our commitment to safety and well-being.
- HOMEBASED
- Ref. : 1000008809
- Home Based
- Other
- Business Analyst Apprenticeship Coach
Fully remote
QA are the market leader in technology learning & apprenticeship solutions.
Our new way of learning draws on both digital and live methods, so you'll have the chance to set your mark through a variety of channels. Digital learning is continually growing and evolving, and we've only just touched the surface of what's possible.
We're actively making a difference in other people's lives, and you will be at the heart of that. Our culture echoes this positivity, we know that collectively our ideas will revolutionise learning. We work with the world's biggest brands & companies to give them the competitive edge in the digital world of today.
As a Digital Learning Consultant you will be responsible for coaching and mentoring a group of learners working towards the successful and timely achievement of their apprenticeship programme.
Key Responsibilities:
Coach and support a case-load of learners through their cyber apprenticeship
Collaborate with our internal Learning Specialists and course developers to ensure learners successfully achieve their apprenticeship programme on time.
Provide clear and detailed written feedback on learning activities and goal completion
Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
Skills and Experience
Recent industry experience in a BA role (min 5 years)
Business modelling and data modelling experience
Excellent research and analytical skills
Investigation techniques and requirements engineering knowledge and experience
Experience in stakeholder management
Analysed the structure of a business to determine how it operates and determine its objectives
Understanding of the business analysis fundamentals
User acceptance testing knowledge and experience
- HOMEBASED
- Ref. : 1000008365
- Home Based
- Other
- Data and Software lecturer
Home based
About our 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.
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 this programme continues to improve, and that all
Skills & Abilities
Subject Areas (suggested in the Software and Data area but not limited to)
Software
Coding and Programming experience (Python experience essential)
Full stack / Web development
Automation in software development
Flask
Django
DevOps
Data
Machine learning
SQL
Data Visualisation - Power BI
Data Analytics / Statistics
Your Qualifications and Knowledge
Essential:
A post-graduate degree (MSc)
Subject specific qualifications
Desirable:
PhD
Teaching qualification
Excellent, detailed knowledge of more than one topic within the required subject areas
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education
Understanding of equality and diversity issues
- TBC
- Ref. : 1000008441
- Home Based
- Other
- Computing Lecturer
Home based
Job Purpose
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.
Role 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.
Your Experience/Skills
Essential Qualifications:
A post-graduate degree (MSc or similar)
A teaching qualification or a desire to obtain one, preferably Fellowship of the Higher Education Academy
Subject specific qualifications
Desirable Qualifications:
PhD or working towards one
Teaching qualifications
Ability to deliver practical and engaging teaching and learning sessions.
Industry experience within subject area.
Excellent, detailed knowledge of more than one topic within the required subject areas (e.g. IT PM, Computer Science, Business & Tech, Data Science).
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
Understanding of equity and diversity issues.
- B5 4UA
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