Lead Machine Learning Operations Engineer - Remote - 70- 90k + Excellent Benefits We''re seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you''ll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What you''ll be doing as Lead ML Ops Engineer:Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta LakeArchitecting and overseeing API services and caching layers (e.g., Azure Cache for Redis)Driving integration with cloud-based data storage solutions such as SnowflakeCollaborating with data scientists, engineers, and product teams to align ML infrastructure with business goalsEstablishing best practices for model deployment, monitoring, and lifecycle managementConducting performance tuning, load testing, and reliability engineeringManaging CI/CD workflows and infrastructure as code via Azure DevOps and GitHubMentoring junior engineers and fostering a culture of technical excellence and innovation What we''re looking for from the Machine Learning Operations Lead:Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architecturesStrong understanding of Postgres, Redis, Snowflake, and Delta Lake ArchitectureHands-on experience with Docker, container orchestratio