Machine Learning Workflow Engineer
At a glance
Mid-level Machine Learning Engineering role at G-Research. London · full-time · no salary stated · we estimate £60,000–£97,524 across the United Kingdom.
G-Research has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build new ML workflow systems for complex dependencies between research models and their surrounding processes
- Create feature and model stores, with reliable versioning for features, data and models
- Improve inference capacity through model serving and build continuous delivery for machine learning
- Fit models across complex job dependencies, then strengthen production checks with validation and monitoring
What you bring
- You bring industry experience and a working grasp of sound architecture and MLOps practices
- You can deliver high-quality software and take solutions from initial definition through implementation
- You work across technical and non-technical teams, make considered long-term decisions and set priorities independently
Who this fits
This mid-level engineering role suits someone who enjoys end-to-end ownership and collaborating across teams with varied needs. It is based in London; prior finance experience is not required.
From the employer
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
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:
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.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
35 days’ annual leave
9% company pension contributions
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section