At a Glance
- Tasks: Build and optimise enterprise-scale machine learning platforms on Azure.
- Company: Join a leading consultancy with a focus on innovation.
- Benefits: Excellent day rate and opportunity for professional growth.
- Other info: Collaborate with top Data Scientists and DevOps teams in a dynamic environment.
- Why this job: Make an impact by deploying cutting-edge ML models in production.
- Qualifications: Experience with Azure, Python, Docker, and MLOps required.
We are supporting one of our key consultancy clients in securing an experienced Azure MLOps Engineer for a 6-month contract based in Wokingham . This is an excellent opportunity to help deliver enterprise-scale machine learning platforms, building secure, automated and highly scalable Azure environments supporting large-scale data processing.
You'll work closely with Data Scientists, Architects and DevOps teams to deploy, monitor and optimise ML models in production while improving reliability, automation and operational performance.
Key Skills
- Azure Machine Learning
- Azure DevOps
- Python
- Docker
- Azure SQL & Blob Storage
- MLOps & ML lifecycle management
- TensorFlow, PyTorch or Scikit-learn
- Monitoring & model performance
- CI/CD pipelines
- Data pipelines & versioning
Excellent Day Rate Available.
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Azure Machine Learning Mlops in London employer: Gazelle Global Consulting Limited
Gazelle Global Consulting Limited is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Foundry Test Engineer role. Located in a dynamic tech hub, employees benefit from continuous professional development opportunities, competitive compensation, and a supportive environment that encourages growth and creativity in semiconductor testing and automation.
Contact Details:
Gazelle Global Consulting Limited Recruitment Team
