technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:

Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Develop cloud-native deployment patterns for AI systems across environments Troubleshoot and debug user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with

Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience designing cloud-native, distributed platforms Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with implementing automation for model development lifecycles A proactive mentality and ability to collaborate with peers, stakeholders, and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg

2 Bloomberg's Engineering Ai jobs in England & Wales