Senior Machine Learning/Research Engineer

Check out the role overview below If you are confident you have got the right skills and experience, apply today. 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.