At a Glance
- Tasks: Lead AI and Machine Learning workshops, mentoring professionals to bridge the skills gap.
- Company: Join a £2.1B EdTech unicorn backed by top investors.
- Benefits: Enjoy flexible work, private medical insurance, and extensive professional development.
- Other info: Dynamic role with significant impact on real-world AI applications.
- Why this job: Shape the future workforce while working with elite partners like Microsoft and Vodafone.
- Qualifications: Deep expertise in Python and cloud ML deployment, plus a passion for education.
The predicted salary is between 65000 - 65000 £ per year.
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 behaviours.
- 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.
AI Technical Trainer (£65k) at $2.1B valuation Series E EdTech unicorn in London employer: Jack & Jill
As a leading EdTech unicorn, this company offers an exceptional work environment in London, characterised by flexibility and a strong commitment to employee development. With a focus on bridging the skills gap in AI and Machine Learning, employees benefit from extensive professional growth opportunities, including over 60 hours of dedicated training annually, while contributing to impactful projects that shape the future workforce.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Trainer (£65k) at $2.1B valuation Series E EdTech unicorn in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the EdTech and AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, MLOps, or cloud deployment. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Technical Trainer (£65k) at $2.1B valuation Series E EdTech unicorn in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Technical Trainer. Highlight your experience with Python, MLOps, and any hands-on workshops you've led. We want to see how your skills align with our mission to bridge the skills gap!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for education and how your background in AI and machine learning can make a difference. Let us know why you’re excited about joining our EdTech unicorn and what you can bring to the table.
Showcase Your Teaching Experience:Since this role involves mentoring and facilitating workshops, be sure to highlight any previous teaching or training roles. We love seeing examples of how you've helped others master complex concepts, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, PySpark, and cloud-based ML deployment. Be ready to discuss your hands-on experience with machine learning models and how you've applied them in real-world scenarios.
✨Showcase Your Teaching Style
Since this role involves mentoring and facilitating workshops, think about how you can demonstrate your teaching style during the interview. Prepare examples of how you've successfully engaged adult learners and helped them grasp complex concepts.
✨Understand the Company’s Impact
Familiarise yourself with the company’s mission and the ROI they've achieved through their curriculum. Be prepared to discuss how you can contribute to bridging the skills gap for employers and shaping the future workforce.
✨Prepare Questions That Matter
Have insightful questions ready that show your interest in the role and the company. Ask about their approach to curriculum development or how they measure the success of their training programmes. This shows you're genuinely invested in the position.
