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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
Kafka Producer Tuning for High Latency Networks
  • 11 Feb 2025

Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.

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NeurIPS Paper Reviews 2024 #10
  • 07 Feb 2025

In this NeurIPS paper review series, Julian, Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.

Read article
NeurIPS Paper Reviews 2024 #9
  • 07 Feb 2025

In this NeurIPS paper review series, Andrew, Quant Research Manager, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.

Read article

Latest events

  • Platform Engineering
  • Software Engineering

Warsaw Coding Challenge

18 Mar 2025 To be announced
  • Platform Engineering
  • Software Engineering

Belgrade Coding Challenge

20 Mar 2025 Saint Ten Hotel, Svetog Save 10, Beograd 11000, Serbia
  • Quantitative Engineering
  • Quantitative Research

London Quant Challenge

19 Mar 2025 G-Research, 1 Soho Place, London, W1D 3BG

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