At a Glance
- Tasks: Lead the ML team to develop innovative models for personalised education.
- Company: Exciting London startup transforming education with ML-powered tutoring.
- Benefits: Unlimited learning budget, 25 days leave, and regular social events.
- Why this job: Join a groundbreaking project and make a real impact in education.
- Qualifications: Proven ML experience, leadership skills, and expertise in Python and PyTorch.
- Other info: Be part of a dynamic startup adventure with excellent growth opportunities.
The predicted salary is between 48000 - 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 a short project remotely with us, to learn what it’s like to work at Glite.
Lead ML-Engineer in City of London employer: Glite Tech
Contact Detail:
Glite Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML-Engineer in City of London
✨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 people in the industry, and who knows, you might just bump into someone from our team!
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. We love seeing practical examples of your work!
✨Tip Number 3
Be ready to chat about your experience with data pipelines and model optimisation. We want to know how you tackle challenges and improve performance, so come prepared with specific examples.
✨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 to revolutionise education!
We think you need these skills to ace Lead ML-Engineer in City of London
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us know why you're excited about changing education with ML. Share your thoughts on how personalised learning can make a difference and how you see yourself contributing to our mission.
Highlight Relevant Experience: Make sure to showcase your experience in delivering ML models to production. We want to see examples of your work with data pipelines, model optimisation, and any leadership roles you've taken on. Be specific!
Be Authentic and Personal: We love getting to know the real you! Don’t hesitate to share your journey in ML and education. A personal touch can make your application stand out, so feel free to include anecdotes or experiences that shaped your career.
Apply Through Our Website: To make sure your application gets to us directly, please apply through our website. It’s the best way for us to keep track of your application and ensure it reaches the right hands!
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 machine learning models, especially those relevant to the role. Be ready to explain how you've delivered ML models to production and the impact they had. This shows you're not just familiar with theory but have practical experience.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll be expected to mentor and lead a team. Prepare examples of how you've successfully led projects or teams in the past. Highlight your experience in knowledge-sharing, whether through tech talks or articles, to demonstrate your ability to inspire others.
✨Familiarise Yourself with Their Product
Dive deep into their mobile application for teaching English. Understand its features and think about how your skills can enhance it. Being able to discuss specific ways you could contribute to their mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to be quizzed on your understanding of neural networks, CI/CD pipelines, and data pipelines. Brush up on your Python and PyTorch skills, and be ready to solve problems on the spot. Practising common technical interview questions can help you feel more confident.