Senior ML Platform Engineer — Scalable AI/MLOps

Bloomberg; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Bloomberg is hiring a Senior ML Platform Engineer in London to build and operate multi-tenant AI platforms for AI-driven products. You will work with Kubernetes, Kubeflow, KServe, Argo, and other cloud-native tools, designing seamless workflows for model training, inference, and monitoring.

You will collaborate with AI experts to optimize workflows, drive open-source contributions, and implement CI/CD automation that aligns with regulatory requirements across environments.

Qualifications

• Proven years of experience in OO languages (Python, Go et al.).
• Experience designing cloud-native, distributed platforms.
• Strong knowledge of Kubernetes, Argo, and container orchestration.
• Experience with modern CI/CD tools and GitOps workflows.
• Automation for model development lifecycles and collaboration across teams.
• Degree in CS/Engineering/Math or equivalent experience.

Responsabilités

• Architect, build, and diagnose multi-tenant AI platform systems.
• Collaborate with AI application teams to design workflows for training, inference, and monitoring.
• Improve platform efficiency by identifying bottlenecks and informing new features.
• Engage with open-source communities to enhance MLOps experience.
• Design CI/CD automation that meets regulatory requirements.
• Develop deployment patterns for AI systems across environments.

Connaissances

Python

Go

Kubernetes

Argo

CI/CD

GitOps

Cloud-native platforms

Data structures & algorithms

Collaboration

Formation

Degree in Computer Science/Engineering/Mathor equivalent

Outils

Kubernetes

Argo

KServe

CI/CD tools

GitOps workflows

Description du poste

Bloomberg is hiring a Senior ML Platform Engineer in London to build and operate multi-tenant AI platforms for AI-driven products. You will work with Kubernetes, Kubeflow, KServe, Argo, and other cloud-native tools, designing seamless workflows for model training, inference, and monitoring.

You will collaborate with AI experts to optimize workflows, drive open-source contributions, and implement CI/CD automation that aligns with regulatory requirements across environments.