Lead Machine Learning Engineer

🚀 Lead Machine Learning Engineer (MLOps)

📍 Location: Abu Dhabi

We’re looking for an experienced Lead MLOps Engineer to own and scale the end-to-end ML lifecycle in a regulated financial services environment. You’ll ensure AI solutions are reliably deployed, monitored, and maintained in production.

💡 What you’ll do:

• Own the full MLOps lifecycle (CI/CD, model registry, monitoring, production readiness)
• Design and standardise MLflow-based model management and workflows
• Build and manage CI/CD pipelines for ML assets aligned with best practices
• Integrate ML workflows into enterprise DevOps and governance frameworks
• Define deployment architectures (batch, streaming, real-time inference)
• Implement monitoring, alerting, and diagnostics for model performance
• Ensure compliance with regulatory and internal governance standards
• Lead incident response and continuous improvement of ML operations

🔍 What we’re looking for:

• 8+ years’ experience in MLOps / ML Engineering / DevOps / Data Engineering
• Proven experience managing production ML systems in enterprise environments

Key skills:

• ML platforms & workflow orchestration (e.g. Databricks)
• Strong Python engineering (testing, packaging, Git)
• MLflow (experiment tracking, model registry, versioning)
• CI/CD for ML pipelines and release processes
• Monitoring, observability, and model performance management