5 of 5 Permanent Batch Processing Jobs in the UK excluding London

sustainable, and agile data analytics platform for a data driven digital bank. You will be using a range of database technologies and a combination of event driven techniques and batch processing methodologies. In addition you will be expanding and optimizing our cloud-based data & data pipelines as part of a cross functional team. As a Data Engineer at More ❯

5. Support internal and external audits, ensuring compliance and documentation. 6. Collaborate with business and operations teams to prioritize defect fixes and enhancements. 7. Handle event-driven and scheduled batch processes, ensuring smooth operations. 8. Troubleshoot technical issues related to Java, Middleware, Unix/Windows, and databases. 9. Participate in on-call support for real-time issue triaging and More ❯

performance spikes and deadlocks Develop BI reports and semantic models (Power BI/DAX) Govern data assets in Azure and ensure compliance (GDPR) Tech Environment: High-availability, distributed deployment Batch processing + real-time inserts/updates .NET applications using ORM and stored procedures Azure SQL + Storage Containers Looking for someone who thrives in fast-paced environments More ❯

system changes, coordinate UAT, and ensure solutions meet objectives. Support system updates, patches, and upgrades with minimal disruption. Administer applications, maintaining security, integrity, and performance, and monitor integrations and batch processes. Promote knowledge sharing within the team to prevent single points of failure. Keep technical skills up to date and support ad hoc initiatives as needed. Qualifications & Experience: Proven More ❯

full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for … real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. More ❯