Lead ML Engineer (London)

Glite Tech; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

A London-based education startup is seeking a Lead ML Engineer to develop machine learning models for educational purposes. The ideal candidate will lead a team, drive end-to-end model delivery, and work collaboratively with cross-functional teams. You will have the chance to work with diverse data, optimize ML models, and lead industry meet-ups. This position offers significant learning opportunities, a development budget, and a vibrant startup culture.

Benefits

Unlimited learning & development budget

Lunch provided daily

Regular social events

25 days annual leave + public holidays

Qualifications

• Experience leading and mentoring other ML engineers.
• Complete end-to-end experience from data cleaning to model monitoring.
• Experience in large-scale production systems.

Responsibilities

• Build models predicting student knowledge.
• Work with unique datasets from over 1M language tests.
• Create new types of tests for language learners.

Skills

Experience leading and mentoring other ML engineers

End-to-end experience in ML systems

Ownership of ML systems and data pipelines

Building automated data pipelines

Understanding of CI / CD pipelines

Knowledge of neural networks and NLP algorithms

Expertise in Python and PyTorch

Job description

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