Lead MLOps Engineer: Scale AI in Regulated Finance

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 OpportunityYou 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 ResponsibilitiesOwn 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 deploymentsLead model deployment strategies (batch, real-time, streaming) with robust rollback and release controlsEnsure governance, compliance, and audit readiness across ML workflowsDrive operational excellence, including incident management, runbooks, and reliability engineeringWhat We’re Looking For8+ years in MLOps / ML Engineering / Data Engineering / DevOpsStrong experience with ML lifecycle management (MLflow, model registry, versioning)Proven track record building CI/CD pipelines for ML systemsHands-on experience with Python, cloud platforms, and production ML environmentsStrong understanding of monitoring, observability, and model performance managementExperience working in regulated environments (financial services preferred)#J-18808-Ljbffr