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Technical Trainer – AI Product (London, Hybrid)

Cloudforce · Londres

New
Hybrid Mid 🇬🇧 English
Cloud technologies

Job description

About the role

We are looking for a Technical Trainer to design, develop, and deliver high‑quality training programs that help clients adopt and maximise the value of our AI‑powered platform, nebulaONE®. You will work across cloud and AI projects, supporting change management and ensuring smooth technology transitions.

Key responsibilities

  • Plan, organise and deliver internal and client‑facing training sessions on nebulaONE®.
  • Tailor training content and delivery methods to meet specific client needs.
  • Lead interactive “promptathons” where participants build and refine AI prompts.
  • Collaborate with cross‑functional teams to create technical documentation, presentations and hands‑on exercises.
  • Maintain UK training repositories and manage change‑management content.
  • Conduct live demonstrations and hands‑on labs to illustrate concepts.
  • Stay current with Microsoft and AI advancements to ensure accurate, relevant training material.

Required profile

  • Minimum 2 years experience as a Technical Trainer, Educator or similar role.
  • Excellent communication, interpersonal and presentation skills.
  • Strong passion for teaching and helping others succeed in cloud readiness.
  • Flexibility to travel occasionally for on‑site training.
  • Bachelor’s degree in Education, Computer Science, IT or related field (preferred).
  • Microsoft Certified Trainer (MCT) and certifications such as AI‑900, AZ‑900 (preferred).

Required skills

  • Microsoft product suite with emphasis on AI, SaaS and cloud technologies.
  • Azure fundamentals (AZ‑900) and AI fundamentals (AI‑900) knowledge.
  • Experience creating and delivering technical training materials.

What we offer

  • Annual leave: 27 days plus bank holidays and additional Christmas days.
  • Hybrid working model: 3 days in the office per week.
  • Competitive salary range £48,000‑£58,000 per annum.

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Cloudforce

Londres