Remote

Senior MLOps Engineer

Engineeringfull timesenior level$110k-$160k
AI ScreenedRemote B2BEU Talent Pool
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

About This Role

Senior MLOps Engineer needed to build and scale machine learning infrastructure for an AI-first recruiting platform. You'll design production ML pipelines, manage model deployment workflows, and ensure reliability of AI systems serving B2B clients across Europe. This role bridges data science and engineering, requiring expertise in ML systems architecture, containerization, and cloud infrastructure.

Requirements

  • Design, build, and maintain production ML pipelines and infrastructure
  • Manage model versioning, deployment, and monitoring systems in cloud environments
  • Implement CI/CD workflows for ML model training, validation, and serving
  • Work with containerization (Docker, Kubernetes) and orchestration tools
  • Collaborate with data scientists to productionize models and optimize performance
  • Establish monitoring, logging, and alerting for ML systems in production
  • Write clean, scalable Python code and infrastructure-as-code (Terraform/CloudFormation)

Required Skills

MLOpsKubernetesPythonDockerCI/CDModel ServingCloud Platforms (AWS/GCP/Azure)Data Pipeline Engineering