MLOps Engineer.

  • devops
  • permanent
  • Hamburg

ML Ops Engineer | Hamburg | Hybrid | FinTech | €80-95k

About Our Client:
Our client, a pioneering IT firm based in Hamburg, leads the way in fully automated trust services with cutting-edge technology. Their innovations, including AI-based online identification and electronic signature solutions, have garnered acclaim from industry leaders.

About the MLOps Engineer Role:Join our client's team and contribute to revolutionary solutions in machine learning operations. As an MLOps Engineer, you'll collaborate with top-tier talent to develop and manage robust platforms for computer vision and machine learning applications. Your role will involve building and maintaining ML infrastructure, ensuring compliance, and communicating effectively with stakeholders.


  • Collaborate with peers in the Computer Vision and Machine Learning team and Infrastructure team.
  • Establish and manage an ML platform leveraging Kubernetes and bare-metal infrastructure.
  • Ensure version control and compliance while providing secure training environments.
  • Develop build and deployment pipelines and manage capacity.
  • Design innovative solutions to enhance the ML platform and uphold security.
  • Communicate effectively with stakeholders and enhance transparency through proactive reporting.


  • 5 years of experience in Kubernetes and 2 years in MLOps.
  • Strong technical skills with hands-on experience in training, inference, and operations.
  • Solution-oriented mindset with a focus on pragmatic solutions and trade-off management.
David Green