Senior MLOps Engineer

4 weeks ago


London Area, United Kingdom Velocity Tech Full time

Velocity Tech has partnered with a heavily funded tech startup who are looking for a MLOps Engineer to join their team on a permanent basis.


This opportunity is unable to sponsor visas at the moment.


Key Responsibilities:

  • Design, build, and maintain scalable infrastructure for deploying machine learning models.
  • Implement and manage MLFlow for tracking experiments, model management, and reproducibility.
  • Use Terraform to automate and manage cloud infrastructure (AWS, GCP, or Azure).
  • Collaborate with data scientists and software engineers to automate workflows, data pipelines, and CI/CD for machine learning projects.
  • Ensure the reliability and availability of machine learning services in production.
  • Monitor and optimize the performance of models and infrastructure in a cloud environment.
  • Stay updated with the latest trends and technologies in MLOps, cloud infrastructure, and machine learning.


Requirements:

  • Proven experience in MLOps or DevOps roles focused on machine learning workflows.
  • Strong experience with MLFlow for managing experiments and model lifecycle.
  • Proficiency with Terraform for infrastructure-as-code in cloud environments.
  • Expertise in cloud platforms such as AWS, GCP, or Azure.
  • Experience with containerization (Docker, Kubernetes) and orchestration tools.
  • Strong understanding of CI/CD pipelines and automation for ML.
  • Proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.


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