Senior Data Intelligence Machine Learning Engineer
Core
Design and implement in-house tools to automate data labelling pipelines, reducing reliance on manual annotation for Dyson's connected devices.
Role type
Senior IC machine learning engineer (data-centric AI)
Builds
Automated labelling systems, Human-in-the-Loop workflows, data preparation infrastructure
Domain
Consumer electronics, data-centric AI, computer vision/NLP
Deliverable
production ML models
Required skills
Active Learning, Weak Supervision, Synthetic Data Generation, Python (PyTorch/TensorFlow), SQL/NoSQL, DVC, feature engineering
Preferred skills
Data visualization, data cleansing, scalable pipeline design
Technologies
Snorkel, Cleanlab, AWS SageMaker, GCP Vertex AI, Azure ML, Jupyter, Tableau, Power BI
Responsibilities
Architect end-to-end automated labelling systems; Build Human-in-the-Loop interfaces; Implement algorithmic checks for data denoising; Integrate labelling tools with data lakes and MLOps pipelines; Fine-tune teacher models for pseudo-label generation; Maintain robust data preparation infrastructure; Perform data visualization and analysis.
Seniority
Senior, hands-on IC
