Senior Azure DevOps Engineer (MLOps)

Azure DevOps & MLOps Consultant

Company: Version 1
Location: Remote (Implied, based on benefits and company description)
Salary Range: €75,000 - €95,000

About Version 1:

Version 1 has been a trusted partner for global brands for over 30 years, delivering technology and transformation solutions. As a leading AWS, Microsoft, and Oracle partner, we foster strong partnerships to provide high-quality solutions. We are an award-winning employer, recognized for our commitment to our employees, including being a Great Place to Work for over 10 years and receiving accolades for Best Workplace for Women and Best Workplace for Wellbeing.

About the Role:

We are seeking an experienced Azure DevOps & MLOps Consultant to design, implement, and enhance cloud-native and data-driven platforms on Microsoft Azure. This role involves close collaboration with engineering, data science, and platform teams to build scalable, secure, and resilient solutions. You will focus on building and managing end-to-end CI/CD and ML pipelines, supporting model development, deployment, and monitoring, with an emphasis on Infrastructure-as-Code (IaC) and automation.

Responsibilities:

• Design, implement, and manage CI/CD pipelines for application and machine learning workloads.
• Build and maintain Infrastructure-as-Code (IaC) using tools like Terraform or Bicep.
• Develop and operationalize MLOps pipelines, covering data ingestion, model training, validation, deployment, and monitoring.
• Automate build, test, and release processes to enhance delivery speed and reliability.
• Manage and optimize Azure services, including Azure DevOps, Azure Kubernetes Service (AKS), and Azure Machine Learning.
• Implement model versioning, experiment tracking, and reproducibility practices.
• Collaborate with data scientists and engineers to productionize machine learning models.
• Establish robust monitoring, logging, and alerting for applications and ML models (performance, drift, failures).
• Ensure security, compliance, and governance across cloud environments.
• Optimize cloud infrastructure for cost, performance, and scalability.

Essential Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in cloud consulting or engineering roles.
• Demonstrated experience in DevOps engineering with hands-on delivery in Azure environments.
• Proven experience implementing MLOps practices in production settings.
• Proficiency with CI/CD tools (e.g., Azure DevOps Pipelines, GitHub Actions).
• Experience with containerization and orchestration (Docker, Kubernetes/AKS).
• Experience with Infrastructure-as-Code (Terraform, Bicep, or ARM templates).
• Familiarity with Azure Machine Learning or similar ML platforms.
• Experience with scripting and automation (Python, Bash, or PowerShell).
• Understanding of machine learning lifecycle concepts (training, evaluation, deployment, monitoring).
• Knowledge of monitoring and observability tools (e.g., Azure Monitor, Prometheus, Grafana).
• Good understanding of cloud security best practices and identity management (IAM, RBAC).

Desirable Experience:

• Additional experience across multiple Azure-native services.

Benefits:

• Salary Range: €75,000 - €95,000
• Quarterly Performance-Related Profit Share Scheme
• Strong Career Progression & Mentorship (Strength in Balance & Leadership schemes, Pathways Career Development programme)
• Flexible/Remote working options
• Financial Wellbeing: Pension (5% employee-matched contribution), Private Healthcare Cover, Life Assurance, Financial Advice, Employee Discount Scheme
• Employee Wellbeing: Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme
• 24 days holiday allowance plus Public Holidays
• Enhanced maternity/paternity leave, marriage/civil partnership leave, and special leave policies
• Educational assistance, incentivised certifications, and accreditations (AWS, Microsoft, Oracle, Red Hat)
• Reward schemes (Annual Excellence Awards & quarterly Star Awards)
• Environment, Social, and Community First initiatives

Commitment to Diversity & Inclusion:

Version 1 is an equal opportunities employer committed to building a diverse, inclusive, and respectful workplace. We welcome applications from all backgrounds and value different perspectives. Reasonable adjustments can be provided during the recruitment process upon request.