Azure DevOps Engineer—ML Ops & Data Platform

Azure DevOps Engineer—ML Ops & Data Platform

Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Southern Water group

At a Glance

  • Tasks: Design Azure DevOps pipelines and implement ML Ops workflows for data platforms.
  • Company: Join Southern Water, a forward-thinking company committed to innovation and diversity.
  • Benefits: Enjoy a hybrid work environment with opportunities for professional growth and development.
  • Why this job: Make a real impact on cutting-edge Azure-based projects in a collaborative setting.
  • Qualifications: Strong experience with Azure DevOps and automation tools is essential.

The predicted salary is between 50000 - 60000 £ per year.

Southern Water group is seeking a DevOps Engineer to play a key role in enhancing Azure-based data platforms. In this full-time role, you will design Azure DevOps pipelines, contribute to application development, and implement ML Ops workflows.

The ideal candidate will have strong experience with Azure DevOps and automation tools, and will work in a hybrid setting with opportunities for professional growth and development. A commitment to innovation and diversity is essential.

Azure DevOps Engineer—ML Ops & Data Platform employer: Southern Water group

Southern Water group is an excellent employer, offering a dynamic work environment where innovation and diversity are at the forefront. As an Azure DevOps Engineer, you will benefit from a hybrid working model that promotes work-life balance, alongside ample opportunities for professional growth and development within a supportive team culture. Join us to be part of a forward-thinking organisation dedicated to enhancing data platforms and making a meaningful impact in the community.

Southern Water group

Contact Details:

Southern Water group Recruitment Team

We think you need these skills to ace Azure DevOps Engineer—ML Ops & Data Platform

Azure DevOps
ML Ops
Data Platform Development
Pipeline Design
Automation Tools
Application Development
Hybrid Work Environment