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# Machine Learning Workflow Engineer

- **Company:** G-Research
- **Location:** London, UK
- **Salary:** £60,806.0
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Machine Learning, Management of Software Versions, Machine Learning Operations
- **Published:** October 1, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5904316591

## About the Role

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:

 * An appreciation of good architecture and MLOps best practice
 * The ability to collaborate with, and influence, technical and non-technical people
 * A passion for end-to-end ownership of solutions, from articulation to delivery
 * Proven ability to engineer high-quality software
 * Effective decision-making, with a focus on the mid to long term
 * Value orientated and able to independently prioritise

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

## Description

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:

 * Implementing best practice feature and model stores
 * Properly versioning features, data and models
 * Improving inference compute utilisation via model serving
 * CI/CD for ML
 * Reliably fitting models with complex job dependency graphs
 * Robustness in production, including validation and monitoring


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