Overview
High performance, low latency, global markets… You know where this is going, right? Yup, trading. Business is booming and this company is ready to make the most of it. It’s a place of high pace and quick decisions, perfect for Quants who really love to make things happen. Perfect for you.
What About the Role
As a Machine Learning Engineer, you are part of a small, highly capable group of engineers supporting a larger team of researchers. You take full ownership from design to deployment and maintenance, working on systems that span real-time ML inference, large-scale data infrastructure and the research platform that powers discovery. The scope is broad and hands‑on, requiring you to go deep across the stack rather than specialize in just one area. That’s exactly what makes the role both challenging and rewarding.
You design and evolve real-time inference systems that deliver predictions with ultra-low latency in a production trading environment. At the same time, you build and maintain petabyte‑scale data and ML infrastructure, enabling everything from ingestion at scale to end‑to‑end pipeline orchestration. Collaboration is key. You contribute ideas, challenge assumptions and help shape the technical direction, all within a culture where quality, ownership and mutual respect define how work gets done.
Qualifications
You’re fluent in a systems language like Rust or C++ and combine that with strong Python skills to operate across the full stack. You’ve built and run real production systems with uptime requirements, latency constraints and real impact when things go wrong. You bring depth in at least one domain, whether that’s ultra‑low‑latency systems, ML infrastructure or high-throughput data engineering, while staying broadly skilled across the rest. Working in small, fast-moving teams feels natural to you, whether that’s a startup, trading firm or similar environment.
You have 3 years experience building and operating ML systems in production, working with frameworks like PyTorch, JAX or ONNX, not just for training but for deployment and integration at scale. You’re comfortable with asynchronous and multi-threaded programming and understand high-throughput data pipelines and scheduling. With a solid foundation in mathematics and statistics, you collaborate effectively with researchers and take ownership of what you deliver, always looking for ways to improve.
Compensation
Pretty good, to be honest. Starting with a base salary between €120.000 and €140.000 gross per year, excluding secondary benefits. And those benefits? They’re second to none. Think fully catered lunch every day, flexible working, and a royal end-of-year bonus. Remember, I said speed was key? So, what are you waiting for? Click apply!
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Machine Learning Engineer - €120.000 - €140.000 A Year in Amsterdam werkgever: Search X Recruitment
Dit datatechnologiebedrijf biedt een stimulerende werkomgeving waar innovatie en samenwerking centraal staan. Met een focus op persoonlijke groei en ontwikkeling, krijg je de kans om je vaardigheden verder te ontwikkelen binnen een hecht team dat waarde hecht aan een informele cultuur. Bovendien profiteer je van aantrekkelijke arbeidsvoorwaarden, zoals een competitief salaris, een uitstekende pensioenregeling en dagelijkse verzorgde lunches, wat het werken in deze dynamische omgeving nog aantrekkelijker maakt.
Contactgegevens:
Recruitmentteam van Search X Recruitment
