Senior ML Platform Engineer - Artificial Intelligence

Avature; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior ML Platform Engineer to enhance their AI development lifecycle. In this pivotal role, you will architect and build multi-tenant AI platform systems, collaborating closely with AI application teams to streamline workflows for model training and monitoring. Your expertise in Kubernetes, CI/CD tools, and automation will drive the creation of robust solutions that meet regulatory standards. Join a dynamic team that values innovation and open-source collaboration, and make a significant impact in the AI landscape by delivering high-quality, efficient systems that empower decision-making in the financial sector.

Qualifications

• Proven experience with object-oriented programming languages like Python or Go.
• Strong knowledge of Kubernetes and CI/CD tools.

Responsibilities

• Architect and build multi-tenant AI platform systems.
• Design CI/CD automation frameworks for regulatory compliance.

Skills

Python

Go

Kubernetes

CI/CD

GitOps

Container orchestration

Automation for regulatory requirements

Education

Degree in Computer Science

Degree in Engineering

Degree in Mathematics

Tools

Kubernetes

Argo

Kubeflow

KServe

Buildpacks

Job description

Location

London

Business Area

Engineering and CTO

Ref #

10043101

Description & Requirements

Bloomberg’s Engineering AI department has 300+ 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.

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, especially for CI/CD systems for 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:

1. Architect, build, and diagnose multi-tenant AI platform systems
2. Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
3. Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
4. Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
5. Design CI/CD automation frameworks that incorporate regulatory requirements
6. Troubleshoot and debug user issues
7. Provide operational and user-facing documentation

We are looking for a Senior Platform Engineer with:

1. Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
2. Strong knowledge of Kubernetes, Argo, and container orchestration technologies
3. Expertise with modern CI/CD tools and GitOps workflows
4. Familiarity with implementing automation that addresses regulatory requirements
5. A proactive mentality and ability to collaborate with peers, stakeholders, and management
6. A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
7. An understanding of Computer Science fundamentals such as data structures and algorithms