4 of 4 Remote/Hybrid Databricks Jobs in Slough

Marketing Analytics Manager

Location
Slough, England, United Kingdom
segmentation and measuring the impact of loyalty initiatives Supporting personalised targeting, promotions, and CRM activity Building and enhancing reporting using SQL, Power BI, and Databricks Designing and evaluating tests across loyalty, rewards, and communications Partnering with Marketing, Ecommerce, Product, and Data Science teams to maximise programme performance Your Skills & Experience ...

Loyalty Analytics Lead — Hybrid, High-Impact Insights

Location
Slough, England, United Kingdom
activities to improve retention and CLV, collaborating with Marketing, Ecommerce, Product, and Data Science teams. The role leverages reporting in SQL, Power BI, and Databricks to drive impactful decisions, with a hybrid work arrangement and exposure to senior stakeholders. #J-18808-Ljbffr ...

MLOps AI Lead & Databricks Platform Specialist

Location
Slough, England, United Kingdom
currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning ...

Databricks MLOps Lead & Platform Architect

Location
Slough, England, United Kingdom
Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing ...