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 role involves designing and implementing in-house tools to automate data labelling pipelines, reducing reliance on manual annotation.
You will work alongside brilliant minds from Dyson's global engineering team and external partners in an environment built for exploration, discovery, delivery, and impact.
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
Automated labelling systems
Human-in-the-Loop systems
Data quality and denoising
Python ML stack proficiency
SQL and NoSQL databases
Large-scale unstructured data management
Nice-to-have
Curious about new developments
Balance speed and quality
Collaborate effortlessly across teams
Transform raw data into insight
Key Requirements
3+ years of ML engineering experience
Bachelor’s or Master’s degree
AWS, GCP, or Azure ML labelling services familiarity