Lead 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 intelligent products.
Role type
Lead Data Intelligence Machine Learning Engineer (Data-Centric AI)
Builds
Automated labelling systems, Human-in-the-Loop workflows, and scalable data preparation infrastructure.
Domain
Consumer electronics, Computer Vision, Data-Centric AI
Deliverable
production ML models
Required skills
Active Learning, Weak Supervision, Synthetic Data Generation, Python (PyTorch/TensorFlow), SQL/NoSQL, Data Version Control (DVC), Feature Engineering, Data Visualization
Preferred skills
Experience with Snorkel, Cleanlab, AWS SageMaker Ground Truth, GCP Vertex AI, Azure ML, Tableau, Power BI
Responsibilities
Architect end-to-end automated labelling systems; Develop 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
