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- Tasks: Architect and build AI platforms, troubleshoot issues, and collaborate with teams.
- Company: Bloomberg is a leading financial technology company focused on AI innovations.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Join a team of AI experts and contribute to impactful, cutting-edge technology solutions.
- Qualifications: Experience in programming, cloud-native platforms, and CI/CD tools required; degree in relevant field preferred.
- Other info: Be part of a community that values open-source collaboration and innovation.
The predicted salary is between 72000 - 100000 £ per year.
Senior ML Platform Engineer (London) – Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
10044716
Description & Requirements
Bloomberg's Engineering AI department has 350+ 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 1 billion proprietary and third-party data points published daily — across all asset classes — searchable, discoverable, and actionable.
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
We give back to the technology community and you can read more about our outreach at:
Senior ML Platform Engineer (London) - Artificial Intelligence employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer (London) - Artificial Intelligence
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, Argo, and CI/CD tools. Having hands-on experience or projects that showcase your skills with these technologies 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 participating in discussions can help you build a network and demonstrate your commitment to the field, which is highly valued by employers like us.
✨Tip Number 3
Prepare to discuss your previous experiences in designing cloud-native platforms and automating model development lifecycles. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI and machine learning. Being knowledgeable about recent developments can help you engage in meaningful conversations during interviews and demonstrate your passion for the industry.
We think you need these skills to ace Senior ML Platform Engineer (London) - Artificial Intelligence
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 the role. Mention specific technologies mentioned in the job description, such as Kubernetes and CI/CD tools, and explain how your experience aligns with their needs.
Showcase Relevant Projects: If you have worked on any projects related to AI platforms or MLOps, include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working closely with teams and stakeholders, emphasise your collaboration skills. Provide examples of how you've successfully worked in teams to solve complex problems or improve workflows in previous roles.
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 Argo, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain how you've diagnosed and resolved issues in previous roles, particularly in relation to AI systems and MLOps technologies.
✨Understand the Company’s AI Vision
Familiarise yourself with Bloomberg's approach to AI and their products. Showing that you understand their mission to enhance financial marketplaces through technology will demonstrate your genuine interest in the role.
✨Prepare Questions About Collaboration
Since the role involves working closely with AI application teams and open-source communities, prepare insightful questions about how collaboration is fostered within the company. This shows your proactive mentality and eagerness to work as part of a team.
