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- Tasks: Join us to architect and build cutting-edge AI platform systems.
- Company: Bloomberg is a leader in financial technology, enhancing market transparency with innovative AI solutions.
- Benefits: Enjoy a collaborative culture, remote work options, and access to open-source technologies.
- Why this job: Be part of a dynamic team driving AI innovation in finance with real-world impact.
- Qualifications: Experience in programming (Python, Go), Kubernetes, and CI/CD tools required.
- Other info: Opportunity to collaborate with AI experts and contribute to open-source communities.
The predicted salary is between 54000 - 84000 £ per year.
Location: London
Business Area: Engineering and CTO
Ref #: 10043101
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:
- 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
- Troubleshoot and debug user issues
- Provide operational and user-facing documentation
We are looking for a Senior Platform Engineer with:
- Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
- Strong knowledge of Kubernetes, Argo, and container orchestration technologies
- Expertise with modern CI/CD tools and GitOps workflows
- Familiarity with implementing automation that addresses regulatory requirements
- 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 employer: Avature
Contact Detail:
Avature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer - 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 discussions can not only enhance your knowledge but also demonstrate your commitment and passion for the field, which is highly valued by employers like us.
✨Tip Number 3
Network with professionals in the AI and ML space, especially those who work at Bloomberg or similar companies. Attend industry meetups, webinars, or conferences to make connections and learn more about the company culture and expectations.
✨Tip Number 4
Prepare to discuss your problem-solving approach and past experiences in troubleshooting and debugging. Be ready to share specific examples of how you've improved workflows or resolved inefficiencies in previous roles, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Senior ML Platform Engineer - Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI platforms, and CI/CD systems. Use specific examples that demonstrate your expertise with technologies like Kubernetes and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention how your skills align with Bloomberg's mission to enhance financial markets through innovative technology.
Showcase Your Projects: Include any personal or professional projects that demonstrate your experience with MLOps, container orchestration, or automation. This can help illustrate your hands-on skills and problem-solving abilities.
Highlight Collaboration Skills: Since the role involves working closely with teams and stakeholders, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully worked in a team environment.
How to prepare for a job interview at Avature
✨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 used Kubernetes, Argo, or CI/CD tools, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Company’s AI Vision
Research Bloomberg's approach to AI and their use of technologies such as transformers and large language models. Demonstrating knowledge about their products and how they leverage AI will show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, particularly around MLOps and automation. Practice explaining your thought process clearly and concisely, as this will help interviewers gauge your analytical abilities.
✨Emphasise Collaboration and Communication
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 effectively communicated complex ideas to non-technical stakeholders.
