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Lead Data Intelligence Machine Learning Engineer

DysonDubai, United Arab EmiratesPosted 18 May 2026

Dyson is hiring a Lead Machine Learning Engineer to drive their Data Intelligence mission by automating data labelling pipelines. You will design 'Human-in-the-Loop' systems, implement active learning loops, and build scalable infrastructure to support global engineering teams. The role requires deep expertise in Python, ML frameworks, and cloud-based data annotation workflows. This is a technical leadership position focusing on high-quality data production for advanced AI applications.

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Experience

8+ years

Function

Engineering

Work mode

Onsite, United Arab Emirates

Company

Tier 2

What you will work on

Dyson is hiring a Lead Machine Learning Engineer to drive their Data Intelligence mission by automating data labelling pipelines. You will design 'Human-in-the-Loop' systems, implement active learning loops, and build scalable infrastructure to support global engineering teams. The role requires deep expertise in Python, ML frameworks, and cloud-based data annotation workflows. This is a technical leadership position focusing on high-quality data production for advanced AI applications.

TAL's take

Quality 75/1005/5 clarityTier 2 company

Role offers significant technical ownership in a specialized AI domain at a well-known global brand.

The JD clearly defines the focus on automated labelling pipelines, active learning, and specific ML toolsets.

Salaries at Dyson

31.3 LPA average

Based on 3 Grapevine salary entries for Dyson.

View all salaries

Other roles

4 - 6 years

21 LPA average

Range: 11 - 32 LPA

Product Management

14 - 16 years | L6

50 LPA average

Range: 50 - 50 LPA

Must haves

  • 8+ years of professional experience in Machine Learning engineering
  • Proficiency in Python and ML stack (PyTorch/TensorFlow, NumPy, Pandas, Scikit-learn)
  • Experience with Weak Supervision or Active Learning strategies
  • Experience with SQL and NoSQL databases
  • Experience with AWS, GCP, or Azure ML labelling services
  • Experience with DVC or similar version control for data

Tools and skills

pythonpytorchtensorflownumpypandasscikit-learnsqlnosqlawsgcpazure mldvc

Nice to have: snorkel, cleanlab, jupyter, tableau, power bi.

About the company

Dyson is a globally established engineering company but is not typically categorized as a top-tier software-native firm.

Posts mentioning Dyson