AI & Data Apprenticeship Trainer / Coach & IQA

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)