Lead ML Ops Engineer

Lead MLOps Engineer | Financial Services | Abu Dhabi

We are partnering with a leading financial services organisation to hire a Lead MLOps Engineer to play a critical role in scaling enterprise AI capabilities. This is an opportunity to take ownership of the end‑to‑end MLOps lifecycle, ensuring AI models are reliably deployed, monitored, and maintained in a highly regulated, production environment.

The Opportunity

You will sit within a high‑performing AI squad, working closely with Data Scientists, AI Engineers, and platform teams to bring machine learning models into production at scale. This role is ideal for someone who thrives at the intersection of engineering, AI, and operational excellence.

Key Responsibilities

• Own and implement the end‑to‑end MLOps lifecycle (CI/CD, model registry, monitoring, governance)
• Design and build CI/CD pipelines for ML systems ensuring secure, scalable deployments
• Lead model deployment strategies (batch, real‑time, streaming) with robust rollback and release controls
• Establish monitoring & observability frameworks (model performance, drift detection, alerts)
• Ensure governance, compliance, and audit readiness across ML workflows
• Drive operational excellence, including incident management, runbooks, and reliability engineering

What We’re Looking For

• 8+ years in MLOps / ML Engineering / Data Engineering / DevOps
• Strong experience with ML lifecycle management (MLflow, model registry, versioning)
• Proven track record building CI/CD pipelines for ML systems
• Hands‑on experience with Python, cloud platforms, and production ML environments
• Strong understanding of monitoring, observability, and model performance management
• Experience working in regulated environments (financial services preferred)