Senior Platform Engineer - Bloomberg

Jobs via eFinancialCareers; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading company in AI technology seeks a Senior ML Platform Engineer to join their Engineering department in London. This role involves building sophisticated AI platforms using cutting-edge technologies such as Kubernetes and CI/CD tools. Candidates should have strong programming skills and a background in cloud-native architectures, ready to contribute to transformative financial markets through advanced analytics.

Qualifications

• Experience with object-oriented programming languages.
• Strong knowledge of cloud-native, distributed platforms.
• Proactive collaboration skills required.

Responsibilities

• Architect and diagnose AI platform systems.
• Collaborate with AI teams for workflows on training and monitoring.
• Design CI/CD frameworks for regulatory standards.

Skills

Python

Go

Kubernetes

CI/CD

GitOps

Cloud-native platforms

Automation

Education

Degree in Computer Science

Degree in Engineering

Degree in Mathematics

Tools

KServe

Argo

Buildpacks

Job description

Senior ML Platform Engineer - Artificial Intelligence

Location
London

Business Area
Engineering and CTO

Ref #
10043101

Description & Requirements

Bloomberg's Engineering AI department has 300+ AI practitioners building innovative products that leverage technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our team and seeking skilled individuals to contribute to AI-driven customer-facing products.

Our goal is to enhance the financial marketplace by making news, research, financial data, and analytics searchable and actionable across global markets. Since 2009, we have been building AI systems to process and organize vast amounts of structured and unstructured data, uncover signals, and produce analytics for all asset classes.

We are looking for Senior ML Platform Engineers passionate about building platforms for (Gen) AI applications. You will create integrated AI development life cycles, working with open source tools like Kubernetes, Kubeflow, KServe, Argo, and Buildpacks, among others.

Join us to:

• Architect and diagnose multi-tenant AI platform systems
• Collaborate with AI teams to design workflows for training, inference, and monitoring
• Identify and resolve inefficiencies in workflows
• Engage with open-source communities and AI teams to enhance MLOps
• Design CI/CD frameworks complying with regulatory standards
• Develop deployment patterns for cloud-native AI systems
• Troubleshoot issues and document processes

Qualifications include:

• Experience with object-oriented programming languages like Python or Go
• Designing cloud-native, distributed platforms
• Strong knowledge of Kubernetes, Argo, and container orchestration
• Experience with CI/CD tools and GitOps workflows
• Automation of model development lifecycles
• Proactive collaboration skills
• Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience
• Understanding of data structures and algorithms

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