Data and AI Trainer

• Deliver instructor-led GenAI, Data Science and Python training to government and enterprise clients, both virtually and face to face
• Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem
• Design and develop courseware using instructional design principles and adult learning theory, tailored to client requirements
• Act as a subject matter expert, feeding insight into course development and client programmes
• Meet trainer satisfaction and observation targets, and take part in peer observations
• Keep your certifications and technical knowledge current

• Proven experience delivering technical training or facilitation to both technical and non-technical audiences, virtually and in person
• Strong knowledge of GenAI concepts and prompt engineering
• Solid grounding in machine learning techniques and Python, including the NumPy ecosystem
• Experience designing learner-centred courseware
• Eligible for, and willing to obtain, SC security clearance
• Desirable:
• Hands-on experience with TensorFlow or PyTorch
• Familiarity with AWS, Azure or GCP, and any relevant cloud certifications
• Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science
• Experience working alongside AI/ML engineers and data scientists

• Salary: £70,000 - £80,000
• Home-based, with travel to training centres and client sites (Cheltenham region)
• Permanent
• 27 days annual leave plus bank holidays, 3 development days, 2 charity days, pension, private medical at corporate rates and an early Friday finish
• Funded time and access to learn new tech, with support towards degree or Masters study

I’m working with a leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You’ll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You’ll also help shape how the courses are built, rather than just teaching someone else’s slides.