MLOps Engineer

Dyson

Dyson is hiring a Data Intelligence MLOps Engineer to automate the ML lifecycle, focusing on model deployment and fast CI/CD cycles using tools like Kubeflow and Airflow.

Last checked on August 14, 2026. We may earn a commission when you click through.

This position is ideal for experienced ML engineers looking for a challenging role in a renowned company. However, the high demands and lack of salary transparency may not suit everyone.

✓ Opportunity to work with advanced ML tools ✓ Reputable company with strong brand recognition ✓ Innovative and dynamic work environment

MLOps Engineer

Dyson

Updated 13 days ago

Apply now →

You'll be redirected to ae.talent.com

Dubai

This position is ideal for experienced ML engineers looking for a challenging role in a renowned company. However, the high demands and lack of salary transparency may not suit everyone.

About this role

Dyson is hiring a Data Intelligence MLOps Engineer to automate the ML lifecycle, focusing on model deployment and fast CI/CD cycles using tools like Kubeflow and Airflow.

About the Company

Dyson is a leading technology company known for its innovative household appliances and commitment to engineering excellence.

Key Highlights

✓ Design and maintain ML lifecycle infrastructure
✓ Automate data processing and model deployment
✓ Utilize tools like Kubeflow and Airflow
✓ Ensure fast and reproducible CI/CD cycles
✓ Collaborate with cross-functional teams

💡 Honest Take: While Dyson promotes a work environment, the fast-paced nature and high expectations may lead to long hours. Employees often mention the challenge of maintaining work-life balance in such a demanding role.

Pros

✓ Opportunity to work with advanced ML tools
✓ Reputable company with strong brand recognition
✓ Innovative and dynamic work environment

Cons

✗ No salary information provided
✗ High-pressure work culture
✗ Limited remote work options

Best For: Tech-savvy professionals in Dubai with a background in data science and machine learning looking for growth opportunities.

Watch Out: The role demands a significant time commitment, which may impact work-life balance.

Apply for this position →

You'll be redirected to ae.talent.com

Expert Review

At Dyson, the MLOps Engineer role focuses on automating the ML lifecycle. Expect a fast-paced environment where you'll be responsible for deploying models efficiently. The company heavily s tools like Kubeflow and Airflow, which are essential in managing the backend of ML processes.

This is a great opportunity for those skilled in these areas. While the work promises exposure to technology, potential candidates should be aware of high performance expectations. Employees often report that the work culture can be intense, leading to long hours.

The lack of disclosed salary information is another point of concern, as it makes it difficult to assess overall compensation. Overall, Dyson offers a dynamic workplace for those looking to push the boundaries of machine learning. However, keep in mind the potential challenges surrounding work-life balance and expectations, which may not be for everyone.

For more details, visit Dyson's official job listing.