Senior Data Intelligence Machine Learning Engineer
Dyson
Hybrid
5+ years machine learning engineering experience
Proficiency in python pytorch tensorflow scikit-learn
Experience with active learning and weak supervision strategies
The role focuses on designing end-to-end automated labeling systems to significantly reduce reliance on manual data annotation
Job Summary
The role focuses on designing end-to-end automated labeling systems to significantly reduce reliance on manual data annotation.
Candidates will bridge the gap between raw data collection and model-ready datasets by leveraging techniques like Active Learning and Synthetic Data Generation.
This position requires collaborating with global engineering teams and external partners to ensure high-quality labels at scale for connected devices.
Matching Summary
The role focuses on designing end-to-end automated labeling systems to significantly reduce reliance on manual data annotation.
Skills & Requirements
Must-have
5+ years Machine Learning engineering experience
Proficiency in Python PyTorch TensorFlow Scikit-learn
Experience with Active Learning and Weak Supervision strategies
Expertise in building Human-in-the-Loop systems
Knowledge of SQL NoSQL databases and large-scale unstructured data
Nice-to-have
Experience with DVC Data Version Control tools
Familiarity with AWS SageMaker Ground Truth or GCP Vertex AI
Strong background in feature engineering and data visualization
Ability to collaborate across technical and non-technical teams
Experience with Snorkel Cleanlab or custom active learning loops
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
At least 5+ years of professional ML engineering experience
Proven track record in data-centric AI or computer vision/NLP pipelines