Senior NLP Engineer (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 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.