2 of 2 Data Ingestion Jobs in Scotland

applications and third‐party tools. Work with message brokers (RabbitMQ) to design event‐driven and asynchronous integration patterns. Collaborate with stakeholders to ensure seamless data flow across interconnected systems. Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading. Build and optimize data pipelines that support analytics, reporting, and operational workflows. Ensure data integrity, reliability, and traceability across all pipeline stages. Contribute to and lead discussions on system architecture, ensuring solutions are robust, scalable, and maintainable. Define technical standards and patterns for backend services across the engineering team. Evaluate and recommend ...

support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment. Key Responsibilities Design, build, and operate … inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments. Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems. Enable production deployment of ML models and LLMs within governed enterprise ...