Senior AI Data Labelling & ML Engineer

Dyson GmbH; Dubai; On-site; AED 400,000 - 700,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Dyson is seeking a Senior Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate data labelling pipelines. You will reduce reliance on manual annotation by leveraging Active Learning, Weak Supervision, and Synthetic Data Generation, bridging raw data collection and model-ready datasets.

You’ll work with Data Scientists, Software Engineers, and Product teams to ensure high data quality and scalable ML pipelines in Dyson's Dubai office, contributing to

Qualifications

• 5+ years of professional ML engineering experience focused on data-centric AI or CV/NLP pipelines.
• Proficiency in Python and ML stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).
• Experience with labelling functions, Active Learning strategies, or weak supervision.

Responsibilities

• Architect labelling pipelines and deploy end-to-end automated labelling systems.
• Develop HITL systems with human intervention on high-uncertainty samples.
• Implement QA and denoising to improve data quality in datasets.
• Collaborate with software engineers to integrate labelling tools with data lakes and ML training infra.
• Fine-tune teacher models to generate high-quality pseudo-labels for student models.
• Set up robust data prep infra optimising data quality and speed.

Skills

Python

PyTorch

TensorFlow

NumPy

Pandas

Scikit-learn

Active Learning

Weak Supervision

Data Engineering

SQL

NoSQL

Cloud ML

MLOps

Data Visualization

Jupyter

Power BI

Education

Bachelor's degree in CS/Math/Data Science

Tools

AWS SageMaker Ground Truth

GCP Vertex AI

Azure ML

Snorkel

Cleanlab

DVC

Job description

Dyson is seeking a Senior Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate data labelling pipelines. You will reduce reliance on manual annotation by leveraging Active Learning, Weak Supervision, and Synthetic Data Generation, bridging raw data collection and model-ready datasets.

You’ll work with Data Scientists, Software Engineers, and Product teams to ensure high data quality and scalable ML pipelines in Dyson's Dubai office, contributing to