Dyson's new Data Intelligence team shapes the company's future through data, blending creativity, precision, and audacity to power intelligent products
Job Summary
Dyson's new Data Intelligence team shapes the company's future through data, blending creativity, precision, and audacity to power intelligent products.
The Data Intelligence MLOps Engineer will design, build, and maintain the backbone of the Machine Learning lifecycle, focusing on the 'industrialization' of AI.
Key responsibilities include end-to-end pipeline orchestration, ML CI/CD/CT implementation, Infrastructure as Code, model monitoring, registry management, and ensuring security & compliance.
Matching Summary
Dyson's new Data Intelligence team shapes the company's future through data, blending creativity, precision, and audacity to power intelligent products.
Skills & Requirements
Must-have
ML lifecycle automation
MLOps CI/CD/CT
Kubeflow, Airflow, Dagster, or Prefect
Docker and Kubernetes
AWS, GCP, or Azure ML
Python and Bash scripting
Nice-to-have
Innovation and exploration
Collaboration with global teams
Data privacy and security
Key Requirements
3+ years in DevOps, Data Engineering, or MLOps
Proven track record of ML project productionization
Bachelor's or Master's degree in a technical field