3 of 3 Big Data Jobs in Oxford

humanity's enduring challenges. We are seeking to recruit a Senior Full Stack Software Engineer to help design, build, and maintain user-facing components of our scalable, high-performance data platform supporting our bioinformaticians and science teams. This role blends hands-on engineering (70–80%) with people leadership and a focus on engineering excellence, raising the bar on standards … security, reliability, observability, and quality. You'll collaborate closely within a cross-functional team, working with architects, platform engineers, and data engineers to deliver platform tools that manage the full data lifecycle, monitor sequencing device telemetry, and provide the tooling our science teams need to discover and use data. Key Responsibilities Design, develop, and support web applications deployed … to support the data platform. Own full stack development for tools supporting data management across the full lifecycle, including ingest monitoring, curation, release management, data quality monitoring, and user access control. Build and support components to manage ingest from and monitor distributed next-generation sequencing devices, including device telemetry (Kafka, MQTT streaming from Oxford Nanopore NGS devices More ❯

for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps. More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic More ❯