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Brookwood Recruitment Ltd

Machine Learning Engineer

Brookwood Recruitment Ltd
Netherlands · Contract · Not Applicable

ML Platform Engineer

  • Location - Amsterdam (hybrid)
  • Rate - €117 per hour
  • Long-term contract - 12 months (possible extensions)


We’re looking for an experienced ML Platform Engineer with a strong software engineering background to help build and scale a high-performance ML inference platform used across a global technology organisation. This role sits within the ML Production team and focuses on designing, operating and optimising large-scale ML serving infrastructure powering production machine learning workloads.


What you’ll be doing

  • Build and operate scalable ML inference and backend services using Java/Scala and JVM technologies
  • Design low-latency, high-throughput distributed systems for online and offline predictions
  • Optimize CPU/GPU performance, memory usage and inference workloads
  • Work extensively with Kubernetes (AWS EKS/on-prem), containerization and cloud-native deployments
  • Develop MLOps capabilities including model deployment, monitoring, rollout strategies and CI/CD pipelines
  • Improve observability using Grafana, Graphite, logging and alerting solutions
  • Support batch jobs, async workloads and production ML lifecycle management
  • Collaborate closely with ML Engineers, Data Scientists and Platform teams


What we’re looking for:

  • 5+ years in ML Engineering / Backend Engineering / Platform Engineering
  • Strong Java and/or Scala experience
  • Experience with Kubernetes & AWS EKS
  • Strong distributed systems and microservices background
  • Experience with MLOps and ML serving infrastructure
  • Observability & monitoring expertise (Grafana, Graphite, Prometheus etc.)
  • Linux and cloud-native engineering experience
  • Strong performance tuning and scalability mindset


Advantageous to have:

  • ML serving platforms (SageMaker, Triton, TorchServe, ONNX, Ray etc.)
  • Spark or distributed compute experience
  • SRE or Platform Engineering background
  • Hybrid cloud or bare-metal infrastructure experience
  • Model observability / ML monitoring experience


Apply directly for immediate consideration!

Key Skills

Ranked by relevance

cloud kubernetes grafana mlops aws containerization machine learning microservices prometheus scala java cicd jvm
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Posted
May 09, 2026
Type
Contract
Level
Not Applicable
Location
Amsterdam

Industries

Computer Networking Products

Categories

Engineering

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