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- Tasks: Architect and build AI platforms, troubleshoot issues, and collaborate with teams.
- Company: Bloomberg is a leading financial technology company transforming data into actionable insights.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Join a dynamic team innovating in AI, impacting global markets with cutting-edge technology.
- Qualifications: Experience in programming, cloud-native platforms, and CI/CD tools; degree in relevant field preferred.
- Other info: Be part of a community committed to open-source collaboration and technology outreach.
The predicted salary is between 48000 - 84000 £ per year.
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 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
Senior ML Platform Engineer - Artificial Intelligence | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer - Artificial Intelligence | London, UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, Kubeflow, and Argo. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with open-source communities related to MLOps and AI platforms. Contributing to projects or discussions can not only enhance your knowledge but also demonstrate your commitment and passion for the field.
✨Tip Number 3
Network with professionals already working at Bloomberg or in similar roles. Attend industry meetups or webinars where you can connect with them, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 4
Prepare to discuss your experience with CI/CD automation frameworks and how you've implemented them in past projects. Being able to articulate your thought process and problem-solving skills will be crucial during interviews.
We think you need these skills to ace Senior ML Platform Engineer - Artificial Intelligence | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, cloud-native platforms, and programming languages like Python or Go. Emphasise any projects that demonstrate your expertise in AI applications and MLOps.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Bloomberg's mission. Mention specific technologies and methodologies you have worked with, such as Kubernetes and CI/CD tools, to show your fit for the role.
Showcase Relevant Projects: Include a portfolio or links to projects that illustrate your experience with AI systems, particularly those involving multi-tenant architectures or automation in model development lifecycles. This can set you apart from other candidates.
Prepare for Technical Questions: Anticipate technical questions related to your experience with distributed platforms and container orchestration. Brush up on your knowledge of data structures and algorithms, as these may be discussed during the interview process.
How to prepare for a job interview at Bloomberg
✨Showcase Your Technical Skills
Be prepared to discuss your experience with object-oriented programming languages like Python or Go. Highlight specific projects where you've designed cloud-native platforms or worked with Kubernetes and CI/CD tools.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to Bloomberg's work. Be ready to discuss how you can contribute to their AI-driven products and workflows.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've identified and resolved inefficiencies in previous roles. This could involve troubleshooting user issues or optimising workflows for model training and inference.
✨Emphasise Collaboration and Communication
Bloomberg values teamwork, so be ready to discuss your experience collaborating with peers and stakeholders. Share examples of how you've worked with cross-functional teams to achieve common goals.
