11 of 11 Remote Databricks Jobs in the Thames Valley

cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯

Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.).Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics.Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning More ❯

Competitive employer contributions to pension scheme and much more What youll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

employer contributions to pension scheme and much more What you'll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

employer contributions to pension scheme and much more What you'll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

with the latest tools and techniques. A deep understanding of Azure components. Key areas: API Management Azure SQL and MI Functions Networking Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO). Solid understanding of Terraform. HELM. Advantageous: Healthcare or Government More ❯

governance, quality frameworks, and lifecycle management is second to none, and you're comfortable working with modern data platforms such as Amazon EMR, Glue, Databricks, DBT, Power BI or RStudio. Communication is your superpower whether you're presenting to the board or collaborating with IT, you know how to make More ❯

Kubernetes). - Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support More ❯

and deployment effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. … Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both More ❯