2 of 2 Data Lake Jobs in Cambridgeshire

join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize backend systems that power intelligent, data-driven applications. You will focus on creating high-performance APIs, architecting scalable data management tooling, and ensuring the reliability of services that integrate advanced AI frameworks with … You'll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL database, data lake houses, and vector databases. This is an opportunity to apply your deep backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about … Building Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications. Database Architecture & Scaling: Architect schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. Backend Systems Development: Drive the implementation of backend services, focusing on performance, maintainability, and reliability. Performance & Reliability More ❯

research informatics. You will architect and industrialize the operational backbone of our discovery platform, enabling scientists to work faster, smarter, and at scale, while ensuring high-quality, reproducible data generation to power our AI/ML-driven discovery engine. You will be a key member of the R&D Leadership Team, responsible for shaping strategy, integrating operational functions … R&D infrastructure into a fully integrated, automation-enabled, digitally connected lab. Champion the adoption of modern lab technologies, automated workflows, and informatics platforms to maximize efficiency, scalability, data quality and accessibility. Oversee the design, deployment, and continuous improvement of a modern informatics stack for data capture, analysis, and sharing across teams. Ensure operational systems and … align operational capabilities with scientific priorities. Manage and expand external relationships with technology providers, automation vendors, CROs, and academic collaborators. Build and lead a multidisciplinary platform operations and data team, blending expertise in lab operations, automation engineering, and research informatics. Foster a culture of innovation, inclusivity, and scientific excellence, while mentoring emerging leaders. Present to the company's More ❯