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Lead Instructor – AI & Automation

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jobtailor
Full Time position
Listed on 2026-07-11
Job specializations:
  • Education / Teaching
    Training Instructor / Specialist, IT/Computer Science Instructor
Salary/Wage Range or Industry Benchmark: 42000 - 60000 GBP Yearly GBP 42000.00 60000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Overview

  • Lead the delivery of highly engaging, interactive, and practical workshops on AI, Python, Prompt Engineering, and automation tools.
  • Own delivery quality and metrics for key client cohorts, acting as the Lead Tutor for complex accounts and high-stakes learner groups.
  • Guide learners through complex technical exercises, providing coaching, feedback, and support to overcome blockers and apply learning in their roles.
  • Run live-coding and interactive automation sessions with confidence, showcasing best practices in using AI tools for rapid prototyping and productivity.
  • Author original modular learning assets, including hands-on automation labs, workshop guides, hackathon challenges, and technical toolkits to close specific learner gaps.
  • Identify gaps in the existing curriculum based on classroom feedback and iterate on materials to ensure they remain highly relevant and up to date.
  • Ensure all learning content is pedagogically sound, accessible to non-technical business professionals, and aligned with Decoded's high delivery standards.
  • Maintain a strong practitioner-level understanding of the AI & Automation landscape, particularly low-code/no-code automation tools.
Requirements
  • Proven Delivery Record:
    Extensive experience facilitating technical training sessions, workshops, or bootcamps, with an innate ability to explain complex technical concepts simply.
  • Content Creation Evidence:
    Clear experience authoring educational content, technical modules, tutorials, or learning labs.
  • Technical Proficiency:
    Solid scripting skills (Python or JavaScript) with the ability to live-code and troubleshoot in front of an audience.
  • Practical experience with modern AI tools (ChatGPT, Claude) and prompt engineering techniques.
  • Familiarity with low-code/no-code workflow automation tools (e.g., Power Automate, Zapier, n8n, Make).
  • High Empathy: A strong learner-centric mindset, with patience and strategies to support business practitioners who may be new to coding and technical tools.
  • Adaptability:
    Comfortable working in a fast-paced environment, responding to real-time classroom dynamics and tailoring delivery to meet diverse cohort needs.
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