Senior Data Intelligence Mlops Engineer

Dyson

End-to-end pipeline orchestration
Machine learning ci/cd implementation
Infrastructure as code management
This role focuses on industrializing AI by moving models from experimental notebooks into robust, production-grade pipelines

Job Summary

  • This role focuses on industrializing AI by moving models from experimental notebooks into robust, production-grade pipelines.
  • You will automate the journey from raw data curation to model deployment while ensuring fast, observable, and reproducible CI/CD cycles.
  • The position requires collaborating with Dyson's global engineering team and external partners in an environment built for exploration and impact.

Matching Summary

This role focuses on industrializing AI by moving models from experimental notebooks into robust, production-grade pipelines.

Skills & Requirements

Must-have

  • End-to-End Pipeline Orchestration
  • Machine Learning CI/CD Implementation
  • Infrastructure as Code Management
  • Docker and Kubernetes Mastery
  • AWS SageMaker or GCP Vertex AI
  • Python and Bash Scripting

Nice-to-have

  • Experience with MLFlow Model Registry
  • Feature Store Maintenance
  • Model Drift Monitoring Dashboards
  • Cross-functional Global Team Collaboration
  • Data Version Control (DVC)

Key Requirements

  • 5+ years in DevOps, Data Engineering, or MLOps roles
  • Proven track record of taking ML projects to high-availability production
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Work Rights

Not specified

Tailored Resume

Cover Letter