Machine Learning Workflow Engineer

Overview

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.

Responsibilities

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 green field 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

• 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

Qualifications

• 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 oriented and able to independently prioritise

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

Benefits

• 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

Equal Opportunity Statement

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.

Company Culture

We are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.