Opportunity Description
Location: London
Industry: Systematic / Quantitative Hedge Fund
Working model: Hybrid
Overview
A leading global quantitative fund is hiring a Machine Learning Engineer to scale how machine learning models are built, shipped, and supported across research and trading. This is a hands on role spanning solution architecture, software engineering, and infrastructure, with a strong focus on ML workflows, AI tooling, and pragmatic enablement across teams.
You will sit at the intersection of researchers, developers, and platform, driving adoption of robust development standards, reliable deployment patterns, and repeatable tooling that makes model delivery faster and safer.
Responsibilities
- Roll out automation and CI/CD workflows tailored to machine learning delivery
- Improve engineering standards through clean code guidance and architecture training
- Build and promote consistent ...
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