Senior NLP Engineer (London) in City of London

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 a 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 a short project remotely with us, to learn what it’s like to work at Glite.