Azure Machine Learning Engineer – Dubai

Location: Dubai, UAE

Salary: AED 25,000–30,000 per month + benefits

Job Type: Permanent, Full-time

Industry: Technology / Data / Financial Services

About the Opportunity

Kingston Stanley is recruiting an Azure Machine Learning Engineer on behalf of an established organisation based in Dubai.

This is an excellent opportunity for a technically capable Machine Learning Engineer or MLOps professional to join an established Data function, taking ownership of production machine learning systems and supporting the ongoing development, reliability and performance of ML solutions.

The successful candidate will work closely with Data Science and Data Engineering teams, ensuring machine learning models are successfully deployed, maintained, monitored and optimised within a production environment.

Key Responsibilities

• Deploy, monitor, maintain and troubleshoot machine learning models operating in production environments.

• Manage and optimise ML pipelines using Azure Machine Learning, Databricks and related cloud technologies.

• Support model retraining, version control, performance monitoring and release management.

• Develop and maintain CI/CD workflows for machine learning systems.

• Investigate production incidents, resolve technical issues and maintain high system availability.

• Collaborate with Data Scientists, Data Engineers and wider technology stakeholders.

• Support model governance, documentation, data security and compliance requirements.

• Identify opportunities to improve platform efficiency, reliability and operational processes.

Candidate Requirements

• Minimum 2 years’ relevant experience in Machine Learning, MLOps, Software Engineering or a related discipline.

• Hands-on experience deploying and supporting machine learning models in production.

• Strong Python programming skills, ideally with PySpark exposure.

• Experience with Azure ML, Databricks, AWS SageMaker, GCP Vertex AI or similar platforms.

• Understanding of ML lifecycle management, CI/CD, model monitoring and versioning.

• Strong analytical thinking, problem-solving ability and a proactive approach to learning.

• Experience within financial services, credit scoring or regulated environments would be advantageous.

Salary & Benefits

• AED 25,000–30,000 gross monthly salary.

• Education allowance.

• Medical and life insurance.

• Additional company benefits.

Apply Now

Our client is looking to move quickly and welcomes applications from candidates with strong practical machine learning engineering experience.

If you are a Machine Learning Engineer, MLOps Engineer or ML Platform Engineer looking for your next opportunity in Dubai, we would welcome your application.

Apply today or contact Kingston Stanley for a confidential discussion.