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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

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Going 15 Percent Faster with Graph-Based Type-checking (part two)
  • 13 Jan 2025

Hear from Florian, Open-Source Software Engineer, in the second part of this two part series, on the challenges and breakthroughs of an internal G-Research initiative aimed at enhancing the .NET developer experience at scale.

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G-Research December 2024 Grant Winners
  • 09 Jan 2025

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

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James Maynard on Prime Numbers: Cryptography, Twin Primes and Groundbreaking Discoveries
  • 19 Dec 2024

We were thrilled to welcome James Maynard, Fields Medallist 2022 and Professor of Number Theory, at the Mathematical Institute in Oxford, on stage for the latest Distinguished Speaker Symposium last month. James’ talk on Patterns in prime numbers hones in on unanswered questions within mathematics and the recent developments that have brought the solutions to those problems closer to reality. Hear more in his exclusive interview with us.

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Latest events

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  • Software Engineering

Hack the Burgh

01 Mar 2025 - 02 Mar 2025 The Nucleus Building, The University of Edinburgh, Thomas Bayes Road, Edinburgh, UK
  • Quantitative Engineering
  • Quantitative Research

Pub Quiz: Oxford

12 Feb 2025 Oxford - to be confirmed after registration
  • Quantitative Engineering
  • Quantitative Research

Pub Quiz: Cambridge

25 Feb 2025 Cambridge - to be confirmed after registration

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