Details:
- Salary: £40,000 - 60,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: England
- Date: 3 days ago
Description:
AI & Data Apprenticeship Trainer / Coach & IQA
???? Remote (UK) with occasional travel
???? £40,000 - £60,000 DOE
Benefits
✅ Flexible remote working
✅ 25 days annual leave plus Bank Holidays
✅ Ongoing professional development and funded training
✅ Clear career progression opportunities
✅ Supportive and innovative culture
✅ Opportunity to work at the forefront of AI and Data education
✅ Involvement in both programme delivery and quality assurance
The Opportunity
I'm currently supporting a well-established, Ofsted-rated 'Good' national training provider that is expanding its AI and Data provision.
This is an exciting opportunity for an experienced AI & Data professional with apprenticeship delivery experience to combine training, coaching, mentoring and quality assurance responsibilities, helping learners develop the skills needed to excel in today's data-driven workplace while ensuring consistently high standards of assessment and programme delivery.
The Role
As an AI & Data Apprenticeship Trainer / Coach & IQA, you will deliver engaging workshops and technical training sessions while managing a caseload of apprentices throughout their learning journey.
You will support learners through:
Data Analyst, Data Technician and AI-related apprenticeship programmes
Progress reviews and action planning
Portfolio development and evidence gathering
Workplace application of learning
Gateway and End Point Assessment preparation
Ongoing coaching, mentoring and learner support
Alongside delivery responsibilities, you will undertake Internal Quality Assurance activities including:
Sampling learner work, assessment decisions and portfolio evidence
Supporting and developing trainers and assessors through standardisation activities
Monitoring quality, compliance and consistency across apprenticeship delivery
Providing constructive feedback and action planning to assessment teams
Supporting preparation for Ofsted inspections and external quality assurance visits
Contributing to continuous improvement initiatives and quality assurance processes
Ensuring programmes remain compliant with apprenticeship standards and funding requirements
You will also contribute to curriculum development and ensure programmes remain aligned with employer needs, industry developments and emerging AI technologies.
About You
Essential
Experience delivering and coaching learners within apprenticeship programmes
Advanced knowledge of Data Analytics, Artificial Intelligence, Automation and Digital Technologies
Experience managing learner caseloads and conducting progress reviews
Experience undertaking Internal Quality Assurance activities within apprenticeship provision
Strong understanding of apprenticeship standards, funding rules and EPA processes
Experience using tools such as Power BI, Excel, SQL, Python or similar technologies
Excellent communication, coaching and stakeholder engagement skills
Experience delivering Data Analyst, Data Technician or AI-related apprenticeship standards
Knowledge of Ofsted requirements and quality assurance frameworks
Ability to conduct standardisation activities and support assessor development
Desirable
Experience leading quality improvement initiatives within an apprenticeship environment
Experience supporting preparation for Ofsted inspections and external audits
Knowledge of emerging AI technologies, machine learning and automation practices
Qualifications
Essential
IQA Qualification such as TAQA Level 4 Internal Quality Assurance, V1, D34 or equivalent
Recognised Teaching, Training or Assessing qualification (AET, PTLLS, Cert Ed, PGCE, CAVA, TAQA or A1)
Degree-level qualification (or above) in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Machine Learning or a related discipline
Interested?
This is a fantastic opportunity to join a forward-thinking training provider at the forefront of AI and Data skills development, playing a key role in both learner success and the quality of apprenticeship delivery.
For more information, please contact Simon Atkins on (phone number removed)