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- Tasks: Design and build innovative AI platforms for seamless workflows and model training.
- Company: Join Bloomberg, a leader in financial data and AI solutions since 2009.
- Benefits: Enjoy a collaborative culture, remote work options, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge team transforming the financial landscape with AI technology.
- Qualifications: Experience in programming, cloud-native platforms, and CI/CD tools required.
- Other info: Bloomberg values diversity and is committed to an inclusive workplace.
The predicted salary is between 43200 - 72000 £ 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:
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Architect, build, and diagnose multi-tenant AI platform systems
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Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
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Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
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Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
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Design CI/CD automation frameworks that incorporate regulatory requirements
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Develop cloud-native deployment patterns for AI systems across environments
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Troubleshoot and debug user issues
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Provide operational and user-facing documentation
We are looking for a Senior ML Platform Engineer with:
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Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
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Experience designing cloud-native, distributed platforms
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Strong knowledge of Kubernetes, Argo, and container orchestration technologies
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Previous experience with modern CI/CD tools and GitOps workflows
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Familiarity with implementing automation for model development lifecycles
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A proactive mentality and ability to collaborate with peers, stakeholders, and management
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A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
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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:
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Senior ML Platform Engineer (London) - Artificial Intelligence London, GBR Posted today employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer (London) - Artificial Intelligence London, GBR Posted today
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes 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 discussions or projects can help you build a network and demonstrate your commitment to the field, which is highly valued by employers like Bloomberg.
✨Tip Number 3
Prepare to discuss your experience with CI/CD automation frameworks during interviews. Be ready to share specific examples of how you've implemented these processes in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice troubleshooting scenarios related to AI platforms and be ready to explain your thought process, as this will demonstrate your ability to diagnose and resolve issues effectively.
We think you need these skills to ace Senior ML Platform Engineer (London) - Artificial Intelligence London, GBR Posted today
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior ML Platform Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Kubernetes, CI/CD tools, and cloud-native platforms.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in object-oriented programming languages, cloud-native platforms, and any experience with MLOps technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to architect and build AI platforms, and how you can contribute to Bloomberg's goals.
Highlight Collaboration Skills: Since the role involves working closely with AI application teams and open-source communities, be sure to mention any past experiences where you successfully collaborated with others. This will show your proactive mentality and ability to work in a team environment.
How to prepare for a job interview at Bloomberg L.P.
✨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 MLOps technologies. Be ready to discuss how you can contribute to building innovative AI solutions, especially in relation to the tools mentioned in the job description.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've identified and resolved inefficiencies in workflows. This role requires a proactive mentality, so showcasing your ability to troubleshoot and debug will be crucial.
✨Emphasise Collaboration Skills
Since the role involves working closely with AI application teams and open-source communities, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with peers and stakeholders to achieve common goals.
