MLOps Engineer

4 weeks ago

Cheadle, Staffordshire, United Kingdom Pets at Home Full time
MLOps Engineer

We're seeking a talented MLOps Engineer to collaborate closely with our Data Science division and build self-serve orchestration systems for model training, evaluation, and hosting in a multi-cloud environment.

Key Responsibilities:
  • Deploy, monitor, and maintain machine learning models within GCP and Azure environments.
  • Enhance model deployment pipelines using iterative, agile development practices.
  • Integrate and optimize MLOps tools, templates, and processes to streamline our machine learning lifecycle and data operations.
  • Manage model changes and deployments securely, efficiently, and reliably.
  • Develop, maintain, and improve pipelines for model training, validation, and deployment.
  • Proactively address issues related to model performance and data drift.
  • Maintain comprehensive technical documentation for model deployment processes, versioning, and monitoring.
  • Implement and manage robust testing frameworks for model validation and performance evaluation.
  • Automate monitoring tools to track model performance, accuracy, and drift in real-time.
  • Conduct code and model reviews and participate in knowledge-sharing sessions.
  • Collaborate with DevOps to drive automation within CI/CD pipelines for machine learning workflows.
  • Ensure that data used for model training and deployment meets the highest standards of quality and compliance.
  • Uphold secure best practices across all aspects of the MLOps lifecycle.
Essential Experience, Knowledge & Expertise:
  • Proven experience in managing and deploying machine learning models in production environments.
  • Strong understanding of MLOps principles and best practices.
  • Experience with ETL processes and data pipelines.
  • Familiarity with containerization technologies (Docker) and version control systems (Git). Hands-on experience with major cloud platforms (GCP, AWS, Azure).
  • Understanding of model evaluation metrics, performance monitoring, and data drift management.
Desirable Experience, Knowledge & Expertise:
  • Experience with Vertex AI, Azure Machine Learning, or equivalent MLOps tools.
  • Knowledge of agile methodologies such as Scrum or Kanban.
  • Strong proficiency in a programming language such as Python and R.
  • Experience creating cloud resources through infrastructure as code (Terraform/Terragrunt or similar).
  • Familiarity with streaming data and real-time data processing.
  • Experience deploying and/or using open-source MLOps frameworks and tools.
  • Demonstrated ability to handle and troubleshoot real-world model deployment issues.
About Our Company:

We're a dynamic and innovative company revolutionizing the pet care industry. We're passionate about using technology to make a positive impact and are committed to creating a culture of continuous learning, innovation, and excellence.

Why Work with Us?
  • Be part of a talented team working on impactful projects.
  • Work in a cutting-edge multi-cloud environment with opportunities for professional growth and development.
  • Collaborate with a talented Data Science team.
  • Enjoy a culture of continuous learning, innovation, and excellence.

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