Azure MLOps Engineer β€” Production ML & Real-Time Inference in Wokingham

Azure MLOps Engineer β€” Production ML & Real-Time Inference in Wokingham

Wokingham Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Deploy and manage ML solutions in Azure while collaborating with data scientists and developers.
  • Company: Join Queen Square Recruitment Ltd, a leader in tech recruitment.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make an impact in the exciting field of MLOps and real-time data processing.
  • Qualifications: Experience in Azure MLOps and strong collaboration skills required.

The predicted salary is between 63000 - 77000 Β£ per year.

Queen Square Recruitment Ltd is seeking an experienced Azure MLOps Engineer to deploy, automate, and manage ML solutions in Azure.

You will collaborate with data scientists, forecast teams, developers and Dev Ops to deliver scalable, secure MLOps platforms for large data processing and real-time inference workloads.

The role emphasizes production ML operations, CI/CD pipelines, monitoring, security and governance, plus data pipelines and versioning across storage solutions.

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Azure MLOps Engineer β€” Production ML & Real-Time Inference in Wokingham employer: Queen Square Recruitment Ltd

At Queen Square Recruitment Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an Azure MLOps Engineer, you will benefit from continuous professional development opportunities, a supportive team environment, and the chance to work on cutting-edge projects in a vibrant location. Join us to be part of a forward-thinking company that values your contributions and prioritises your growth.

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Contact Details:

Queen Square Recruitment Ltd Recruitment Team

We think you need these skills to ace Azure MLOps Engineer β€” Production ML & Real-Time Inference in Wokingham

Azure MLOps
Machine Learning Operations (ML Ops)
CI/CD Pipelines
Data Processing
Real-Time Inference
Collaboration with Data Scientists
Monitoring and Security