At a Glance
- Tasks: Join us to build ML-powered tutoring solutions and create innovative language learning tools.
- Company: Exciting London startup revolutionising 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 ML experience, strong NLP skills, and a passion for education.
- Other info: Experience a dynamic startup culture with opportunities for growth and collaboration.
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.
Senior 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 Senior 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. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially any that relate to NLP or education. We love seeing real-world applications of your work, so make sure to highlight your achievements and the impact they had.
✨Tip Number 3
Prepare for those interviews! Research common ML interview questions and practice your answers. We want to see your thought process, so be ready to explain your approach to building models and solving problems. Don’t forget to ask us questions too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are excited about changing education with ML. Let’s make it happen together!
We think you need these skills to ace Senior Engineer, Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior NLP Engineer role. Highlight your experience with ML models, data pipelines, and any relevant projects you've worked on. We want to see how your skills align with our mission to change education!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for education and machine learning, and explain why you want to join us at StudySmarter. Be genuine and let your personality come through – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to NLP or machine learning, make sure to mention them! Include links to your GitHub or any articles you've written. We’re keen to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're serious about joining our team!
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 ready to explain how you've delivered ML models to production, optimised them for performance, and the specific challenges you've faced. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Data Skills
Since the role involves working with vast amounts of unique data, prepare examples of how you've built automated data pipelines or analysed large datasets. Bring along any relevant projects or case studies that highlight your ability to handle diverse data types, especially in NLP.
✨Demonstrate Your Passion for Education
This startup is all about changing education through ML-powered tutoring. Share your thoughts on the current challenges in education and how you believe ML can help. Showing genuine interest in their mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about neural networks, LSTMs, and transformers. Brush up on key concepts like tokenisation and embeddings, and be ready to solve problems on the spot. Practising common interview questions in this area can really boost your confidence.