Job Title

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 doBuild 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 decisionWork with a vast amount of unique data - we have data from over 1M language tests, including text and voice dataCreate 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 songWork in a cross-functional team and communicate with backend engineers and product managersCreate new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these resultsOptimise and fine-tune machine learning models for performance, scalability, and accuracyEssential skillsStrong expertise in NLPComplete end-to-end experience - from finding and cleaning data all the way to monitoring models in productionStrong understanding of neural networks, CNNs, RNNs, LSTMs, and transformersExperience building automated data pipelinesHands-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 servicesGreat knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrievalDesirable SkillsCan speak, or learning to speak, more than one languageExperience with reinforcement learningKnowledge-sharing experience (tech talks, articles, YouTube videos, etc.)Experience using voice data in ML modelsWhat we can offerA 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 ideasUnlimited learning & development budget (courses, conferences, books etc.)Lunch provided by the company every dayRegular social events25 days annual leave + public holidaysWork from our London officeInterview Process3 interviews, which will be mixture of technical and non-technical tasksIf 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.