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- Tasks: Lead the ML team to create innovative models for personalised education.
- Company: Exciting London startup revolutionising education with ML-powered tutoring.
- Benefits: Daily lunch, flexible work environment, and a chance to shape the future of learning.
- Why this job: Join a groundbreaking project and make a real impact in education technology.
- Qualifications: Proven ML experience, leadership skills, and a passion for data-driven solutions.
- Other info: Be part of a dynamic team with opportunities for growth and creativity.
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:
- 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
- Lead our 'AI Powered Education' meet-up in London, building a network of ML specialists
Essential skills:
- Experience leading and mentoring other ML engineers
- Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production
- Experience taking complete ownership of 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 using tools such as Pandas and NumPy for data manipulation and analysis
- Expertise in Python and PyTorch
- Can speak, or learning to speak, more than one language
- Experience with reinforcement learning
- Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)
What we can offer:
- Lead an ML team that will become the leading specialists in ML-powered education
- 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
- Lunch provided by the company every day
- Work from our London office
- 3 interviews, which will be a mixture of technical and non-technical tasks
- 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
Lead ML Engineer (London) employer: Glite Tech Ltd
Contact Detail:
Glite Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer (London)
✨Tip Number 1
Network like a pro! Reach out to people in the ML community, especially those who are already working at startups. Attend meet-ups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that demonstrate your ability to build models and work with data. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical skills. Be ready to discuss your past experiences, how you’ve led teams, and your approach to problem-solving in ML. Practice makes perfect!
✨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, it shows you’re genuinely interested in joining our mission to revolutionise education.
We think you need these skills to ace Lead ML Engineer (London)
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us see your enthusiasm for transforming education through ML. Share any personal experiences or projects that highlight your commitment to making learning accessible and engaging.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in our job description. Highlight your end-to-end experience with ML models and any leadership roles you've had in the past.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to join our team.
How to prepare for a job interview at Glite Tech Ltd
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models, especially those relevant to education. Be ready to explain how you've built and optimised models in the past, and have examples of your work handy to showcase your skills.
✨Showcase Your Data Skills
Since you'll be working with a vast amount of unique data, demonstrate your expertise in data manipulation and analysis. Bring up specific tools like Pandas and NumPy, and be prepared to discuss how you've cleaned and processed data for ML projects.
✨Communicate Effectively
You'll be part of a cross-functional team, so it's crucial to show that you can communicate complex ideas clearly. Practice explaining technical concepts in simple terms, and think about how you would collaborate with backend engineers and product managers.
✨Be Ready for Technical Challenges
Expect a mix of technical and non-technical tasks during the interviews. Brush up on your knowledge of CI/CD pipelines, automation tools, and neural networks. Prepare to solve problems on the spot, as this will demonstrate your ability to think critically under pressure.
