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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.

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Latest news

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Invisible Work of OpenStack: Eventlet Migration
  • 25 Mar 2025

Hear from Jay, an Open Source Software Engineer, on tackling technical debt in OpenStack. As technology evolves, outdated code becomes inefficient and harder to maintain. Jay highlights the importance of refactoring legacy systems to keep open-source projects sustainable and future-proof.

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SXSW 2025: Key takeaways from our Engineers
  • 24 Mar 2025

At G-Research we stay at the cutting edge by prioritising learning and development. That’s why we encourage our people to attend events like SXSW, where they can engage with industry experts and explore new ideas. Hear from two Dallas-based Engineers, as they share their key takeaways from SXSW 2025.

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G-Research February 2025 Grant Winners
  • 17 Mar 2025

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

Read article

Latest events

  • Quantitative Engineering
  • Quantitative Research

Pub Quiz: Paris

15 May 2025 Paris - to be confirmed after registration
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  • Quantitative Engineering
  • Quantitative Research

Stanford Quant Challenge

30 Apr 2025 Sheraton Palo Alto Hotel, 625 El Camino Real, Palo Alto, CA 94301, US
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  • Quantitative Engineering
  • Quantitative Research

Berkeley Quant Challenge

29 Apr 2025 University of California, Berkeley, California, US
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