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.