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Open nowFirst seen 71 days ago

Machine Learning Workflow Engineer

G-Research64 open roles

Where
London, UK
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Your applicationOpen nowMachine Learning Workflow EngineerG-Research · London, UK

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. G-Research postings stay open a median of 62 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 71 days ago

G-Research median: 62 days open

The posting

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

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