Machine Learning Ops Engineer

London  ‐ Onsite
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Machine Learning Automation Architecture Test Automation Regulatory Compliance Continuous Integration DevOps Infrastructure Management Operations Support Systems Performance Tuning Azure Machine Learning Security Managing Data Ingestion Data Protection


Machine Learning Ops Engineer
Outside IR35
Start Date:1st July


Deployment and Management:
- Deploy and manage machine learning models in a production environment using Azure ML and related services.

Pipeline Development:
- Design, implement, and maintain CI/CD pipelines for machine learning projects.
- Automate data ingestion, model training, evaluation, and deployment processes.

Automation Architecture:
- Develop and maintain automation scripts and tools to support the ML life cycle.
- Implement monitoring and alerting systems to detect and address performance issues.

Collaboration and Support:
- Work closely with data scientists and machine learning engineers to understand requirements and provide operational support.
- Collaborate with DevOps and IT teams to integrate ML systems with existing infrastructure.

Performance Optimization:
- Optimize model serving performance, ensuring minimal latency and high throughput.
- Conduct regular performance tests and tune system parameters accordingly.

Security and Compliance:
- Implement security best practices to protect data and models.
- Ensure compliance with relevant data protection regulations.

If you are passionate about machine learning and have experience in deployment, automation, and optimization, we encourage you to apply.
Start date
Jumar Solutions Ltd
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