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Machine Learning College

We don’t just hire some of the best ML practitioners in the world, we also develop the next generation of talent too, through the G-Research Machine Learning College.

What is ML College?

ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.

All participants receive their full salary while completing the programme.

Accelerated Bootcamp and Ongoing Learning

ML College has two key components, an accelerated bootcamp and ongoing learning.

The accelerated bootcamp curriculum is an intensive training course open to quantitative researchers.

Ongoing learning encompasses access to online courses from top universities, academic seminars and workshops with experts in their fields.

ML Skills to Put into Practice

Graduates will be equipped to use cutting-edge machine learning techniques in real-world settings.

Having covered subjects such as deep learning, neural networks, and unsupervised learning, participants will possess the skills required to become successful ML practitioners.

World Renowned Speakers and Academics

ML College participants are exposed to world renowned speakers who discuss their research, giving real insight into cutting-edge ML developments. 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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G Research
G-Research March 2024 Grant Winners
  • 15 Apr 2024

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

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Insights from SXSW 2024: Reflections of a G-Research Software Engineer
  • 08 Apr 2024

Here, Michael W, an engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

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Insights from SXSW 2024: Reflections of a G-Research Platform Engineer
  • 22 Mar 2024

Here, Robin L, a Big Data Platform engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

Read article

Latest events

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Research Café Talk with Lord Martin Rees

24 Apr 2024 West Hub, Cambridge, CB3 0FZ
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TUM Quant Challenge at the TUM Makeathon

27 Apr 2024 Technical University of Munich
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Tubingen Quant Challenge

25 Apr 2024 Hotel Krone, Uhlandstrasse 1, 72072 Tübingen, Germany

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