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Glite Tech

Junior Machine Learning Engineer

London
Posted about 18 hours ago
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About Us

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.

Role Overview

We’re looking for a Junior ML Engineer to join the growing ML team at Glite. We are building fundamental models for education – solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ scheduling.

Responsibilities 🚀

  • 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Essential Skills 🙏

  • Bachelor's or master's degree in computer science or data science, or equivalent practical experience building ML solutions
  • Knowledge of machine learning algorithms and metrics
  • Understanding of neural networks, CNNs, RNNs, and transformers
  • Knowledge of NLP algorithms
  • Experience building automated ML pipelines
  • Strong Python knowledge
  • Experience using tools such as Pandas and NumPy for data manipulation and analysis

Desirable Skills 👌

  • Can speak, or is learning to speak, more than one language
  • Complete end-to-end ML experience – from finding and cleaning data all the way to monitoring models in production
  • Understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring
  • Experience with reinforcement learning
  • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)
  • Experience using voice data in ML models

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What We 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 & development budget (courses, conferences, books etc.)
  • Regular social events
  • 25 days annual leave

Interview Process 🧪

  • At least 3 interviews, which will involve 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 short project remotely with us, to learn what it’s like to work at Glite
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Skills

Machine Learning
Python
Pandas
NumPy
NLP
Neural Networks
CNNs
RNNs
Transformers
ML Pipelines
Data Manipulation
Data Analysis
Reinforcement Learning
CI/CD
Voice Data Analysis
Model Optimization

Location

London, England, United Kingdom

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