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

A little about QA:

At QA, our mission is powering people’s potential.

We believe the answer to closing the digital skills gap lies with the people organisations already have and the talent we can bring for the future. We’re experts in reskilling, upskilling, apprenticeships, and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today.

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.

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