ML Platform Engineer (Berlin/London/Paris)

About the role

Build and own production-grade infrastructure for real-time ML, feature serving, and critical decisioning systems. You'll design data-intensive platforms that process high-volume event streams with low latency and strong reliability, while defining reusable engineering patterns that help teams build, ship, operate, and scale platform capabilities reliably.

What you'll do

• Build and own production-grade infrastructure for real-time ML, feature serving, and critical decisioning systems.
• Design data-intensive platforms that process high-volume event streams with low latency and strong reliability.
• Define reusable engineering patterns that help teams build, ship, operate, and scale platform capabilities reliably.
• Build and operate data streaming and serving platforms for sub-second algorithms in mission-critical systems.
• Work closely with ML, data, backend, and product teams to turn complex requirements into simple, reliable systems.
• Mentor peers, share knowledge, and help raise the quality of engineering ownership across the team.

What you'll need

• Strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes.
• Solid understanding of distributed systems, networking, latency, reliability, backpressure, and operational trade-offs.
• Able to work across infrastructure, data, backend, and ML systems, translating ambiguous requirements into simple, reliable platform capabilities.
• Strong interpersonal skills, self-starter with high autonomy, and a focus on knowledge sharing and team growth.

Nice to have

• Experience with ClickHouse, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload.