We’re working with a consulting firm delivering data-driven solutions to enterprise clients. They’re seeking a contract MLOps Engineer to support the development, deployment and scaling of a machine learning architecture, with a focus on MLflow and Databricks tooling. Note, this is a contract engagement. Key Responsibilitie Design and implement data environments that can support ML pipelines using MLflo w and Databrick Register, version, and promote models through the ML lifecycle Package model code for CI/CD deployment into client environment Collaborate with data scientists to productionize notebooks and workflow Build reusable components for model testing, validation, and monitoring Support clients with scalable ML infrastructure best practices Define the structure and tooling required to log and analyze model behavior post-deployment What You Bring 5 years in Data Architecting role Strong knowledge o f Databric ks , MLfl ow, and model registry workflow Solid Python programming and experience with common ML libraries Familiarity with cloud platforms (Azure, AWS , o r GCP) Experience with CI/CD tools and DevOps concepts Prior experience in consulting or working across multiple client environments is a plus