We are seeking a Senior Data Intelligence MLOps Engineer to design, build, and maintain the backbone of our Machine Learning lifecycle
Job Summary
We are seeking a Senior Data Intelligence MLOps Engineer to design, build, and maintain the backbone of our Machine Learning lifecycle.
Your mission is to automate the journey from raw data curation to model deployment, ensuring our CI/CD cycles are fast, observable, and reproducible.
You’ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.
Matching Summary
We are seeking a Senior Data Intelligence MLOps Engineer to design, build, and maintain the backbone of our Machine Learning lifecycle.
Skills & Requirements
Must-have
MLOps lifecycle automation
End-to-end pipeline orchestration
Machine Learning CI/CD/CT
Infrastructure as Code (IaC)
Model Monitoring & Observability
Containerization with Docker and Kubernetes
Nice-to-have
Relentless pursuit of innovation
Blend creativity, precision, and audacity
Work alongside brilliant minds
Environment for exploration and discovery
Key Requirements
5+ years in DevOps, Data Engineering, or MLOps roles
Proven Track Record of ML project to production
Bachelor’s or Master’s degree
Expertise in Orchestration Tools (Kubeflow, Airflow, Dagster, Prefect)
Deep experience with Cloud Platforms (AWS, GCP, Azure ML)