Ellison Institute of Technology

Cloud Platform Engineer responsible for building and operating secure, scalable Oracle Cloud Infrastructure platforms supporting enterprise, scientific research, and AI workloads. The role combines infrastructure automation, cloud security, reliability, and platform enablement in a hybrid Oxford setting.

Join EIT’s founding AI and Robotics team to build an agentic platform that helps scientists move from research questions to bench-ready experiments and results. You’ll own the system from AI model endpoints through the user interface while shaping the product and architecture in an emerging category.

Build the software that turns expert laboratory protocols into reliable, traceable automated workflows. This hands-on scientific software role combines Python engineering, experimental validation, laboratory hardware integration, and close collaboration with scientists in an autonomous-lab environment.

Build the orchestration software that makes autonomous laboratories safe, repeatable, and recoverable. You’ll connect AI agents with real laboratory hardware while working closely with scientists, robotics engineers, and AI researchers.

The Bioinformatics Engineer will build scalable data and workflow infrastructure that moves plant biology data from laboratory instrumentation through reproducible analysis. This role combines bioinformatics pipeline development, ETL, cloud computing, and collaboration with scientific and infrastructure teams.

Build the human-facing product layer connecting AI, robotics, and scientific workflows for scientists and lab teams. You’ll own features end-to-end, with frontend as your primary surface while working across the full stack.

Senior ML Infrastructure Engineer building and operating high-performance GPU clusters and scalable MLOps infrastructure for scientific research. The role combines distributed training performance, high-throughput storage, observability, security, and infrastructure automation in a hybrid Oxford environment.