Lead Data Intelligence Machine Learning Engineer, Dyson

Engineer
United Arab Emirates, Dubai
October 15, 2026
Full Time

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Job Description

Dyson is hiring a Lead Data Intelligence Machine Learning Engineer in Dubai to develop automated data labelling systems and scalable data preparation solutions. The role focuses on active learning, weak supervision, data quality, and machine learning infrastructure. The position involves building human-in-the-loop workflows, improving datasets, optimising models, and collaborating with data scientists, engineers, and product teams.

Experience: 8+ years

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Responsibilities

  • Create automated pipelines for data labelling using active learning and weak supervision approaches for scalability in large datasets.
  • Create human-in-the-loop workflows that focus on selecting uncertain samples for human verification efficiently.
  • Create methods for assessing the quality and performing denoising of the dataset to improve accuracy and consistency.
  • Leverage the integration of labelling solutions with data lake and machine learning training pipelines.
  • Improve the teacher model to create accurate pseudo labels for the development of downstream models.

Requirements

  • Professional experience of a minimum of eight years in machine learning engineering or data-based AI solutions development.
  • Highly skilled with Python programming in PyTorch, TensorFlow, NumPy, Pandas, and Scikit-learn for machine learning projects.
  • Hands-on experience with active learning, weak supervision learning, uncertainty sampling, and diversity sampling approaches on datasets.
  • Experience in handling large volumes of structured and unstructured data with the use of SQL and NoSQL databases.
  • Experience in building data pipelines from cleansing to storing and versions of datasets.

Preferred Qualifications

  • Hands-on experience building data Labelling automation solutions and massive data annotation pipelines for projects.
  • Knowledge of AWS SageMaker Ground Truth, Google Cloud Vertex AI, and Azure Machine Learning platforms.
  • Hands-on experience in tracking iterations of datasets using DVC or similar platforms.
  • Extensive expertise in feature engineering, data analysis, visualization, and tools like Jupyter and Tableau.
  • Excellent communication skills, hands-on experience in documenting solutions and cross-team collaboration.

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