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Listed on LSEG’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development of cloud infrastructure and machine learning deployment strategies across a major financial infrastructure company, supporting teams in building scalable ML solutions on Azure and AWS. It suits experienced DevOps engineers with ML expertise who want to shape technical direction and mentor others in a large, established organization.
Our summary, not LSEG’s wording. The full posting is on their site.
Skills this role names
- Agile
- Amazon Web Services (AWS)
- C#
- CI/CD
- Docker
- GitHub
- GitLab
- Infrastructure as Code
- Java
- JavaScript
- Microsoft Azure
- Python
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What they ask for
Required
- Computer Science or Engineering degree or equivalent work experience
- Infrastructure as Code concepts
- Azure and AWS cloud platform experience
- Machine learning solutions experience
- DevOps practices for ML model deployment
- CI/CD pipelines, code scanning, secrets management, and Docker
- GitHub or GitLab experience
- Architecture principles and design methodologies
- Ability to learn and adapt to new technologies quickly
- Communication and presentation skills
- Agile/Scrum methodology