AI/ML Azure Ops Engineer X 2
Based in Canary Wharf (2 days in the office - 3 days remote) an AI/ML Azure Ops Engineer is required on a 3-month contract.
The rate is £450 per day.
Candidates can work through a Limited Company for this role.
This Is An Excellent Opportunity To Work With a Unique Client, You Will Design, Develop And Implement The AI And ML Applications On An Azure Platform. You Will Need To Have Adequate Knowledge In Deploying, Integrating, Testing And Securing Azure AI Services Encompassing AI And ML Functions Which Includes
- Developing, designing and integrating AI Powered Applications with the approved tech stack and standards
- Developing Azure AI Services based AI applications
- Creating testing frameworks, evaluating AI/ML models
- Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues
This could lead to an opportunity for a long-term contract with multiple extensions in a modern working environment.
Essential Experience
- 5+ years of experience in DevOps principles and practices, including CI/CD pipelines, infrastructure as code (IaC, especially Terraform), and containerization technologies (e.g., Docker, Kubernetes).
- 5+ years of experience in software development with a strong proficiency in Python.
- Experience with cloud platforms (Azure preferred)
- 1+ years of experience with MLOps tools and methodologies, preferably within the Azure ecosystem (Azure ML, Databricks, etc.).
- Proven ability to design, develop, and deploy complex cloud-based solutions using Azure.
- Experience with version control systems (e.g., Git) and familiarity with code management practices.
- Excellent communication, collaboration, and problem-solving skills.
- A passion for innovation and a continuous learning mindset.
- 5+ years of professional experience working on cloud platforms (any cloud but Azure preferred)
- Production experience of containers and container orchestration tools (Docker/Kuberntes/ECS)
- Experience in working with enterprise scale applications, API Gateways, high availability architectures, load balancing & disaster recovery
- Knowledge of application and cloud security fundamentals
- Experience in setting up CI/CD pipelines including production deployments
If you would like to be considered for this role please don't hesitate to click apply ASAP.