Senior Platform Engineer - Bloomberg
New Today
Senior ML Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
10043101
Description & Requirements
Bloomberg's Engineering AI department has 300+ AI practitioners building innovative products that leverage technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our team and seeking skilled individuals to contribute to AI-driven customer-facing products.
Our goal is to enhance the financial marketplace by making news, research, financial data, and analytics searchable and actionable across global markets. Since 2009, we have been building AI systems to process and organize vast amounts of structured and unstructured data, uncover signals, and produce analytics for all asset classes.
We are looking for Senior ML Platform Engineers passionate about building platforms for (Gen) AI applications. You will create integrated AI development life cycles, working with open source tools like Kubernetes, Kubeflow, KServe, Argo, and Buildpacks, among others.
Join us to:
- Architect and diagnose multi-tenant AI platform systems
- Collaborate with AI teams to design workflows for training, inference, and monitoring
- Identify and resolve inefficiencies in workflows
- Engage with open-source communities and AI teams to enhance MLOps
- Design CI/CD frameworks complying with regulatory standards
- Develop deployment patterns for cloud-native AI systems
- Troubleshoot issues and document processes
Qualifications include:
- Experience with object-oriented programming languages like Python or Go
- Designing cloud-native, distributed platforms
- Strong knowledge of Kubernetes, Argo, and container orchestration
- Experience with CI/CD tools and GitOps workflows
- Automation of model development lifecycles
- Proactive collaboration skills
- Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience
- Understanding of data structures and algorithms
We actively contribute to the tech community and encourage you to learn more about our outreach initiatives.
#J-18808-Ljbffr- Location:
- London
- Job Type:
- FullTime
- Category:
- IT & Technology