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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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The Tyranny of Tech Debt
  • 28 Apr 2025

Hear from our Head of Forecasting Engineering on why the term "tech debt" has outlived its usefulness. In this blog, he explores why we should move away from generic labels and instead ask more precise, value-driven questions that lead to meaningful improvements in engineering and business outcomes.

Read article
G-Research March 2025 Grant Winners
  • 22 Apr 2025

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

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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.

Read article

Latest events

  • Quantitative Engineering
  • Quantitative Research

SIAM Conference on Financial Mathematics and Engineering

15 Jul 2025 - 18 Jul 2025 Hyatt Regency Miami, 400 SE 2nd St, Miami, FL 33131, United States
More info
  • Quantitative Engineering
  • Quantitative Research

Imperial PhD Careers Fair

10 Jun 2025 Queen's Tower Rooms, Sherfield Building, South Kensington Campus, Imperial College London, London, SW7 2AZ
More info
  • Platform Engineering
  • Software Engineering

Oxbridge Women in Computer Science Conference

03 May 2025 The William Gates Building 15 JJ Thomson Avenue, Cambridge, CB3 0FD
More info

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