Azure Machine Learning Engineer

Azure Machine Learning EngineerKingston Stanley is partnering with an established organisation in Dubai to recruit a Senior Specialist – Machine Learning to join its growing Data function.This is a hands-on opportunity for an experienced Machine Learning or MLOps professional to take responsibility for the deployment, monitoring and ongoing performance of production ML systems. Key Responsibilities:Deploy, monitor and maintain machine learning models in production environments.Manage ML pipelines and workflows using Azure ML, Databricks or similar platforms.Troubleshoot production issues, optimise model performance and ensure system reliability.Support CI/CD processes, model versioning, testing and release management.Collaborate with Data Science and Engineering teams to operationalise ML solutions.Maintain appropriate model governance, security and compliance standards. Requirements:3+ years of relevant experience in Machine Learning, MLOps, Data Science or Software Engineering.Practical experience deploying and maintaining ML models in production.Strong Python skills and experience with cloud-based ML platforms.Understanding of CI/CD, model monitoring and ML lifecycle management.Strong problem-solving skills, adaptability and willingness to learn.Financial services or credit scoring experience would be advantageous.Salary competitive plus family benefitsWe are particularly interested in candidates with strong practical experience, regardless of whether their current title is Machine Learning Engineer, MLOps Engineer or ML Platform Engineer.Interested? Apply now or reach out directly for a confidential discussion