We're urgently seeking an MLOps Engineer with Databricks expereince for a key partner. You will be responsible for implementing ML workloads and MLOps capabilities on the Global AI Platform. Key Responsibilities Configure and optimise Databricks-based ML development and deployment frameworks. Implement model training, deployment, monitoring, and governance capabilities. Adapt or develop frameworks required to support migrated workloads. Build CI/CD pipelines and automation for ML lifecycle management. Lead technical implementation of pilot models on the Global AI Platform. Develop reusable migration accelerators and standards.Key Experience Databricks Lakehouse Platform. Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving. CI/CD and MLOps automation. Python and production ML deployment patterns
MLOps Engineer - Databricks in London employer: Opus Recruitment Solutions
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.
Contact Details:
Opus Recruitment Solutions Recruitment Team
