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Machine Learning College

Our tailored learning programme brings renowned academic research and cutting-edge techniques directly to us, enabling our people to continuously build their knowledge and stay ahead of the curve.

What is ML College?

ML College is our established, in-house learning programme. It’s designed to keep our ML practitioners at the forefront of the industry through a bespoke seminar and workshop programme.

Cutting-Edge Research and Tailored Learning

ML College has two key components:

  • Monthly seminars: World-renowned academic researchers showcase their latest research
  • Implementation workshops: In-depth, practical sessions where we explore how we can deploy the latest techniques

ML Skills to Put into Practice

Our approach to ML College enables our people to continuously learn and hone their skills, while equipping them with the practical knowledge to put theory into practice.

For those less familiar with ML, we provide a number of on-demand learning units specific to methods our researchers use.

World Renowned Academics

We invite world renowned academics to present their research, giving real insight into cutting-edge ML developments in an intimate setting. Past speakers include:

  • Tim Sainburg, UCSD: Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning
  • Michael Dennis, UC Berkeley: Unsupervised Environment Design for Transfer in RL
  • Colin Wei, Stanford University: Theoretical Analysis of Self-Training with Deep Networks on Unlabelled Data

Open Roles

Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.

Latest news

See all news
G Research
G-Research September 2024 Grant Winners
  • 08 Oct 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our August grant winners.

Read article
Lessons learned: Delivering software programs (part 5)
  • 04 Oct 2024

Hear more from our Head of Forecasting Engineering and learn how to keep your projects on track by embracing constant change and acting quickly.

Read article

Latest events

  • Quantitative Engineering
  • Quantitative Research

Oxford Coding Challenge

23 Oct 2024 University of Oxford, Computer Science Lecture Theatre A, 7 Parks Rd, Oxford, OX1 3QG
  • Quantitative Engineering
  • Quantitative Research

Cambridge Coding Challenge

28 Oct 2024 East Hub 1, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0US
  • Quantitative Engineering
  • Quantitative Research

Cambridge Quant Challenge

06 Nov 2024 University of Cambridge, Centre for Mathematical Sciences,  Wilberforce Road,  Cambridge CB3 0WA

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