Senior ML Engineer (London)

Senior ML Engineer (London)

Full-Time 43200 - 72000 £ / year (est.) No working from home possible
Glite Tech

At a Glance

  • Tasks: Build ML models to revolutionise education and personalise learning experiences.
  • Company: Exciting London startup aiming to transform education with innovative technology.
  • Benefits: Unlimited learning opportunities, creative freedom, and a chance to shape the future of education.
  • Other info: Be part of a dynamic team with a startup culture and growth potential.
  • Why this job: Join us in solving major educational challenges and make a real impact on learners worldwide.
  • Qualifications: Proven ML experience, strong Python skills, and a passion for education technology.

The predicted salary is between 43200 - 72000 £ 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 ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ 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, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics 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 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch 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

Senior ML Engineer (London) employer: Glite Tech

Join our dynamic London startup, where we are revolutionising education through ML-powered tutoring. We offer a vibrant work culture that encourages innovation and collaboration, alongside unlimited learning opportunities to help you grow in your career. With the chance to work on groundbreaking projects and make a real impact in the field of education, this is an exciting opportunity for those looking to contribute to meaningful change.

Glite Tech

Contact Details:

Glite Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer (London)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 those that relate to education or language learning. We love seeing real-world applications of your work, so make it shine!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML interview questions and even doing mock interviews with friends or mentors.

Tip Number 4

Don’t forget to 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 want to make a difference in education!

We think you need these skills to ace Senior ML Engineer (London)

Machine Learning
Data Analysis
Natural Language Processing (NLP)
Python
PyTorch
Neural Networks
Convolutional Neural Networks (CNNs)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior ML 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 revolutionise education!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for education and ML, and explain why you’re excited about joining our team. Let us know how you can contribute to our goal of making personalised learning accessible to everyone.

Showcase Your Projects:If you've got any cool projects or contributions to open-source that demonstrate your ML expertise, don’t hold back! Include links or descriptions in your application. We love seeing practical examples of your work and creativity.

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’re considered for the role. Plus, it shows you’re keen to be part of our journey from the get-go!

How to prepare for a job interview at Glite Tech

Know Your ML Models Inside Out

Make sure you can discuss your experience with various machine learning models, especially those relevant to NLP. Be ready to explain how you've built and optimised models in the past, and share specific examples of how your work has impacted production.

Showcase Your Data Skills

Since this role involves working with vast amounts of unique data, prepare to talk about your experience with data cleaning, analysis, and pipeline automation. Bring examples of how you've handled large datasets and the tools you've used to manage them effectively.

Communicate Like a Pro

You'll be working in a cross-functional team, so it's crucial to demonstrate your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with backend engineers and product managers who may not have a deep ML background.

Be Ready to Discuss Future Innovations

This startup is all about changing education, so think about how you can contribute to that vision. Prepare ideas on how you could apply your skills to create new types of tests or improve existing models. Showing your enthusiasm for innovation will set you apart!