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Machine Learning Operations (MLOps) Engineer
| Posting date: | 11 December 2024 |
|---|---|
| Salary: | £45,000 to £70,000 per year |
| Hours: | Full time |
| Closing date: | 10 January 2025 |
| Location: | Birmingham, West Midlands |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | Devi Technologies |
| Job type: | Permanent |
| Job reference: |
Summary
Responsibilities:
Design and implement MLOps pipelines for model deployment and monitoring.
Collaborate with data scientists and engineers to operationalize machine learning workflows.
Optimize and automate model training, testing, and deployment processes.
Monitor model performance and ensure scalability in production environments.
Implement CI/CD pipelines for machine learning systems.
Requirements:
Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of machine learning lifecycle and deployment best practices.
Experience with tools like MLflow, Kubeflow, or Airflow.
Familiarity with version control systems (Git) and DevOps principles.
Bachelor’s or Master’s in AI, Machine Learning, or related field.
Design and implement MLOps pipelines for model deployment and monitoring.
Collaborate with data scientists and engineers to operationalize machine learning workflows.
Optimize and automate model training, testing, and deployment processes.
Monitor model performance and ensure scalability in production environments.
Implement CI/CD pipelines for machine learning systems.
Requirements:
Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of machine learning lifecycle and deployment best practices.
Experience with tools like MLflow, Kubeflow, or Airflow.
Familiarity with version control systems (Git) and DevOps principles.
Bachelor’s or Master’s in AI, Machine Learning, or related field.