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- Tasks: Join us to build ML-powered tutoring solutions and analyse diverse language data.
- Company: Exciting London startup aiming to revolutionise education with machine learning.
- Benefits: Unlimited learning budget, 25 days leave, social events, and flexible work options.
- Why this job: Be part of a groundbreaking project that makes personalised learning accessible to everyone.
- Qualifications: Proven experience in NLP, ML models, and a passion for language learning.
- Other info: Experience a dynamic startup culture with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
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.
- Build fully-automated pipelines for dictionary building;
- 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;
- 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;
- 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;
- Experience shipping NLP systems: prompt engineering, fine-tuning;
- Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval;
- Can speak, or learning to speak, more than one language;
- Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.);
- Experience using voice data in ML models.
A real-deal startup adventure: you’ll be hopping on a major project while it’s still in the works! Unlimited learning & development budget (courses, conferences, books etc.) Regular social events 25 days annual leave + public holidays Work from our London office.
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.
Sr. Engineer, Machine Learning in London employer: Glite Tech
Contact Detail:
Glite Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Engineer, Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at startups or in ML. Use LinkedIn to connect and don’t be shy about asking for informational chats. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially any that relate to NLP or education. Share it on GitHub or your personal website, and make sure to highlight any unique approaches you’ve taken.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past projects in detail. We want to see how you think and approach challenges!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise education with ML. Don’t miss out!
We think you need these skills to ace Sr. Engineer, Machine Learning in London
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us know why you're excited about using ML to change education. Share any personal experiences or projects that highlight your commitment to making learning accessible for everyone.
Highlight Relevant Experience: Make sure to showcase your experience with NLP and machine learning models. We want to see specific examples of how you've delivered ML models to production and any unique projects you've worked on that relate to our mission.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, and avoid jargon unless it's relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Glite Tech
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain how you've delivered ML models to production, optimised them for performance, and the specific algorithms you've worked with, like CNNs, RNNs, and transformers.
✨Showcase Your Data Skills
Since this role involves working with vast amounts of unique data, be ready to talk about your experience in building automated data pipelines and analysing diverse datasets. Bring examples of how you've cleaned and processed data to improve model accuracy.
✨Demonstrate Your Passion for Language Learning
As the company focuses on language education, share your enthusiasm for language learning. If you speak multiple languages or have experience with NLP systems, highlight this during the interview to show you're a great fit for their mission.
✨Prepare for Practical Challenges
Expect to face practical challenges during the interview that may involve real-world scenarios related to NLP. Brush up on your problem-solving skills and be ready to think on your feet, as this will demonstrate your ability to handle the dynamic nature of a startup environment.
