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- Tasks: Architect and build innovative AI platform systems while collaborating with top AI experts.
- Company: Join Bloomberg, a leader in AI-driven financial solutions with a vibrant tech culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Why this job: Make a real impact in AI technology that shapes the future of finance.
- Qualifications: Experience in programming, cloud-native platforms, and a passion for AI development.
- Other info: Be part of a diverse team committed to open-source collaboration and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Business Area: Engineering and CTO
Ref #: 10047591
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 required 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
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.
Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday in City of London 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 - Artificial Intelligence London, GBR Posted yesterday in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Bloomberg or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those related to AI and MLOps. This gives us tangible proof of what you can do.
✨Tip Number 3
Ace the interview! Research common ML platform engineer interview questions and practice your answers. We want to demonstrate our expertise and passion for AI during those crucial moments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior ML Platform Engineer role. Highlight your expertise in AI platforms, cloud-native technologies, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with tools like Kubernetes and CI/CD automation.
Showcase Your Projects: If you've worked on any interesting AI projects or open-source contributions, make sure to mention them! We love seeing practical examples of your work and how you've tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Kubernetes and CI/CD tools. Brush up on your knowledge of Python or Go, as these are key programming languages for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've diagnosed and resolved inefficiencies in AI workflows. Highlight your experience with automation in model development lifecycles to demonstrate your proactive mentality.
✨Understand the Company Culture
Familiarise yourself with Bloomberg’s values and their commitment to diversity and community outreach. This will help you align your answers with their culture during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how they collaborate with open-source communities. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
