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AI Technical Trainer .1B valuation Series E EdTech unicorn

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Remote/Work from Home position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
  • Education / Teaching
    Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 GBP Yearly GBP 65000.00 YEAR
Job Description & How to Apply Below
Position: AI Technical Trainer (£65k) at $2.1B valuation Series E EdTech unicorn
Location: Greater London

Job Title

AI Technical Trainer

Salary

£65k

Company Description

$2.1B EdTech unicorn and Series E startup backed by Lightspeed, Step Stone, and General Catalyst

Job Description

You will lead the delivery of AI and Machine Learning fellowships, bridging the skills gap for 1,500+ global employers. By facilitating hands-on workshops and mentoring professionals, you’ll help learners apply deep learning, MLOps, and cloud deployment in real-world settings, driving measurable ROI and shaping the future of the workforce.

Location

London, UK

Why this role is remarkable
  • Join the UK’s first EdTech unicorn following a $70M Series E round and a $2.1B valuation, working with elite partners like Microsoft and Vodafone.
  • Leverage a massive multiplier effect by teaching professionals how to implement AI at scale, backed by a curriculum that has already driven £2bn+ in ROI.
  • Enjoy exceptional flexibility and support including a "work-from-anywhere" scheme, private medical insurance, and 60+ hours of dedicated annual professional development.
What You Will Do
  • Facilitate high-impact technical workshops and drop-in sessions covering the full ML lifecycle, from mathematical foundations to LLM orchestration.
  • Mentor and coach working professionals through complex AI projects, providing technical feedback to ensure mastery of skills and behaviors.
  • Collaborate with the product and coaching teams to continuously improve curriculum quality in areas like MLOps, Data Ethics, and Responsible AI.
The Ideal Candidate
  • Possesses deep technical expertise in Python, PySpark, and cloud-based ML deployment (AWS/GCP/Azure) with a postgraduate degree in a relevant STEM field.
  • Has proven industry experience building and deploying machine learning models in commercial environments, moving beyond theoretical or textbook examples.
  • Demonstrates a passion for education with at least one year of experience in technical training, mentoring, or facilitation for adult learners.
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