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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 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 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 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, modelling, text classification/, and information retrieval

Desirable Skills

Can speak, or learning to speak, more than one 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.