Job Title: Azure MLOps Engineer
Job Type: Contract/ Long Term
Sector: High-Demand Government Sector Account
Work Type: Hybrid/ 2 days onsite per week
Compensation: Competitive Salary rates
Job Description:
Technologies:
Azure, Salesforce, Kubernetes (K8s)
Responsibilities:
- Design, implement, and manage scalable MLOps pipelines using Azure Machine Learning services.
- Collaborate with data scientists and developers to integrate machine learning models into production environments.
- Deploy and manage containerized applications using Kubernetes (K8s).
- Monitor and optimize the performance of ML workflows and deployed models.
- Ensure compliance with government data security and privacy standards.
Qualifications:
- Proven experience in Azure MLOps, including deploying and managing ML models in production.
- Strong proficiency in Kubernetes (K8s) for container orchestration.
- Familiarity with Salesforce integration and its ecosystem.
- Understanding of CI/CD principles and tools for MLOps pipelines.
- Excellent problem-solving and communication skills.
Preferred Skills:
- Knowledge of DevOps practices in government or regulated sectors.
- Experience with Azure DevOps or GitHub Actions for CI/CD workflows.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
This position requires candidates who have a valid work permit to work in the UK. No sponsorship is provided.
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