At a Glance
- Tasks: Lead the ML team to build innovative models for personalised education.
- Company: Exciting London startup transforming education with ML-powered tutoring.
- Benefits: Unlimited learning opportunities, freedom to innovate, and a chance to shape the future of education.
- Why this job: Join a mission-driven team and make a real impact on learners worldwide.
- Qualifications: Proven experience in ML, leadership skills, and expertise in Python and PyTorch.
- Other info: Be part of a dynamic startup adventure with growth potential.
The predicted salary is between 43200 - 72000 £ per year.
We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education – one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer , with a proven track record of delivering ML models to production, to own the ML team in our growing company. Work with a vast amount of unique data – we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context – right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics Analyse large amounts of diverse data – including data from every movie, book, and song Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Experience leading and mentoring other ML engineers Complete end-to-end experience – from finding and cleaning data all the way to monitoring models in production Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Expertise in Python and PyTorch Can speak, or learning to speak, more than one language Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models Lead an ML team that will become the leading specialists in ML-powered education ~ A real-deal startup adventure: you\’ll be hopping on a major project while it\’s still in the works! ~ Unlimited learning & development budget (courses, conferences, books etc.) ~ Regular social events ~25 days annual leave + public holidays ~ Work from our London office If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite
Lead ML-Engineer employer: Glite Tech
Contact Detail:
Glite Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML-Engineer
✨Tip Number 1
Network like a pro! Attend meet-ups and events related to ML and education tech. It's a great way to meet potential colleagues and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving ML models. This will give us a clear picture of what you can bring to the table.
✨Tip Number 3
Be ready to chat about your experience! In interviews, we love hearing about your journey with ML, so prepare some stories that highlight your successes and challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission.
We think you need these skills to ace Lead ML-Engineer
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us see your enthusiasm for transforming education through ML. Share any personal experiences or projects that highlight your commitment to making learning accessible and engaging.
Tailor Your Experience: Make sure to align your skills and experiences with the job description. Highlight your end-to-end experience in ML, especially any work with data pipelines and model deployment. We want to see how you can contribute to our mission!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Glite Tech
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various ML models, especially those relevant to education. Be ready to explain how you've built and optimised models in the past, and how you would approach the unique challenges of predicting student knowledge.
✨Showcase Your Data Skills
Prepare to talk about your experience with data pipelines and handling large datasets. Highlight any specific projects where you’ve cleaned, analysed, or created data dictionaries, as this will be crucial for the role.
✨Communicate Like a Pro
Since you'll be working in a cross-functional team, practice explaining complex ML concepts in simple terms. This will help demonstrate your ability to collaborate with backend engineers and product managers effectively.
✨Bring Your Passion for Education
Express your enthusiasm for using ML to improve education. Share any personal experiences or insights that connect your work in ML with the mission of making learning accessible to everyone. This will show that you’re not just technically skilled but also aligned with the company’s vision.