Senior Azure DevOps Engineer (MLOps) at Version 1 Accelerate

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure DevOps, MLOps, CI/CD Pipelines, Infrastructure-as-Code, Terraform, Bicep, Azure Kubernetes Service (AKS), Azure Machine Learning, Docker, Kubernetes, Python, Bash, PowerShell, Azure Monitor, Prometheus, Grafana

Industry

IT Services and IT Consulting

Description

Company Description Version 1 has celebrated 30 years in the IT industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally Job Description We are seeking a highly skilled Azure DevOps & MLOps Consultant to design, implement, and optimise cloud-native and data-driven platforms for our clients. This role involves working closely with engineering, data science, and platform teams to deliver scalable, secure, and resilient solutions on Microsoft Azure. You will be responsible for building and managing end-to-end CI/CD and ML pipelines, enabling efficient model development, training, deployment, and monitoring. The role emphasises Infrastructure-as-Code (IaC), automation, and reproducibility, supporting both application and machine learning workloads in production environments. Responsibilities Design, implement, and manage CI/CD pipelines for both application and machine learning workloads Build and maintain Infrastructure-as-Code (IaC) using tools such as Terraform or Bicep Develop and operationalise MLOps pipelines, including data ingestion, model training, validation, deployment, and monitoring Automate build, test, and release processes to improve delivery speed and reliability Manage and optimise 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 productionise machine learning models Establish monitoring, logging, and alerting for both applications and ML models (performance, drift, failures) Ensure security, compliance, and governance across cloud environments Optimise cloud infrastructure for cost, performance, and scalability Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 6+ years of experience in cloud consulting or engineering roles. Strong 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 containerisation and orchestration (Docker, Kubernetes/AKS) Solid 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) Strong understanding of cloud security best practices and identity management (IAM, RBAC) Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. #LI-EB1 Department: Public Sector & Utilities (Ireland)

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Responsibilities

The role involves designing, implementing, and optimizing cloud-native and data-driven platforms for clients, focusing on building and managing end-to-end CI/CD and ML pipelines on Microsoft Azure. Responsibilities include operationalizing MLOps pipelines, managing Azure services, and ensuring infrastructure-as-code and reproducibility for both application and machine learning workloads.