At a Glance
- Tasks: Lead the ML team to develop innovative models for personalised education.
- Company: Dynamic London startup revolutionising education with machine learning.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Join us in transforming education and making learning accessible for everyone.
- Qualifications: Proven experience in delivering ML models and strong leadership skills.
- Other info: Be part of a passionate team dedicated to impactful change in education.
The predicted salary is between 48000 - 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 Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company.
What you will do:
Lead ML Engineer (London) in City of London employer: Glite Tech
Contact Detail:
Glite Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer (London) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and contributions. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences and how they relate to the role of Lead ML Engineer.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for joining our mission to revolutionise education.
We think you need these skills to ace Lead ML Engineer (London) in City of 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 insights that connect you to our mission of making learning accessible for everyone.
Highlight Relevant Experience: Make sure to showcase your previous work with ML models, especially those you've delivered to production. We want to see how your skills align with the challenges we face in building our flagship product.
Be Authentic: We love genuine applications! Don’t be afraid to let your personality shine through. Share your thoughts on what makes a great ML Engineer and how you envision leading a team in our innovative environment.
Apply Through Our Website: To make sure your application gets the attention it deserves, please apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
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 ML models in detail. Be prepared to explain how you've delivered them to production, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll be expected to guide a team. Think of examples where you've led projects or mentored others. Highlight your ability to inspire and manage a team effectively, as this is crucial for the role.
✨Understand Their Product and Vision
Familiarise yourself with their mobile application and the specific challenges they aim to solve in education. Being able to discuss how your skills can contribute to their mission of personalised learning will demonstrate your genuine interest in the company.
✨Prepare Questions That Matter
Have thoughtful questions ready about their current ML strategies, team dynamics, and future goals. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.