Senior Machine Learning/Research Engineer
London (Old Street / Moorgate)
Up to £140,000 + bonus
About the Role
We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.
This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.
Key Responsibilities
* Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
* Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
* Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
* Take ownership of end-to-end solutions, from research to execution.
What We’re Looking For
* 5+ years’ experience in high-level engineering roles.
* Proven track record building ML research pipelines in complex technical environments.
* Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
* Strong mathematical or statistical background.
* Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance.
* Independent, self-driven engineers who can own delivery without hand-holding.
Interview Process
* Intro call with hiring manager and recruiter.
* Take-home technical test.
* Technical interview discussing your solution.
* Onsite with their Amsterdam team.