Lead Machine Learning Engineer
About This Role
🚀 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
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