Senior ML Platform Engineer - Artificial Intelligence

Bloomberg; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Python

Go

Kubernetes

Argo

CI/CD

GitOps

Cloud-native platforms

Data structures & algorithms

Collaboration

Education

Degree in Computer Science/Engineering/Mathor equivalent

Tools

Kubernetes

Argo

KServe

CI/CD tools

GitOps workflows

Job description

Description & Requirements

Bloomberg’s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Location

London

Business Area

Engineering and CTO

Ref #

10049302

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.

Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.

As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps 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

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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.

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