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 budget, daily lunch, 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: Dynamic startup environment with opportunities for growth and creativity.
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.
What you will do 🚀
- Build fundamental models for education – solving the ultimate learning task of predicting student knowledge and optimal ‘next task’
- 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
- Work in a cross-functional team and communicate with backend engineers and product managers
- 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
Essential skills 🙏
- 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
- Great knowledge of NLP algorithms
- Expertise in Python and PyTorch
Desirable Skills 👌
- Can speak, or learning to speak, more than one language
- Experience with reinforcement learning
- Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)
- Experience using voice data in ML models
What we can offer ✨
- 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!
- Freedom to suggest, implement, and test ideas
- Unlimited learning & development budget (courses, conferences, books etc.)
- Lunch provided by the company every day
- Regular social events
- 25 days annual leave + public holidays
- Work from our London office
Interview Process 🧪
- 3 interviews, which will be mixture of technical and non-technical tasks
- 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 (London) employer: Glite Tech
Contact Detail:
Glite Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer (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, learn about opportunities, and maybe even get a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that relate to education or language learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past experiences and how they align with our mission at StudySmarter.
✨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 genuinely interested in our mission.
We think you need these skills to ace Lead ML Engineer (London)
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us know why you're excited about using ML to change education. 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 bullet points where possible to make it easy for us to read through your qualifications. Remember, clarity is key when showcasing your expertise!
Apply Through Our Website: We encourage you to submit your application directly through our website. This helps us keep track of all applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 NLP. Be ready to explain how you've built and optimised models in the past, and have examples of your work that demonstrate your expertise.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll be expected to mentor others. Prepare to share specific instances where you've led a team or project, highlighting your approach to mentoring and collaboration within cross-functional teams.
✨Familiarise Yourself with Their Product
Dive deep into their mobile application and understand its features. Think about how your skills can enhance their product and be prepared to discuss ideas on how to improve the user experience through ML.
✨Prepare for Technical Challenges
Expect technical questions and possibly live coding tasks during the interview. Brush up on your Python and PyTorch skills, and be ready to tackle problems related to data pipelines and model deployment.