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 Senior NLP Engineer, with a proven track record of delivering ML models to production, to join 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’
• Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision
• 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 and train models to determine the difficulty of words, idioms, phrasal verbs etc.
• 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

Essential skills

• Strong expertise in NLP
• Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production
• Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers
• Experience building automated data pipelines
• Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar)
• Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services
• Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval

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 ✨

• 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.