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Machine Learning Workflow Engineer

G-Research · Hedge fund · London · Mid-level · Posted 2026-07-10

Apply now → Applications go to G-Research's own site.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.  Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team

This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off-the-shelf tools fall short, you’ll build custom solutions to define best practice across quantitative research.

Future projects include:

Who are we looking for?

You will be an intelligent, pragmatic and capable engineer. You will be comfortable working collaboratively to quickly get to grips with the widely varying requirements across different teams.

You will bring industry experience to the table, helping us to apply best practice and drive improvements across our ML operations.

The ideal candidate will have the following skills and experience:

Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply.

Why should you apply?

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