{"schemaVersion":"jobsearcher.job.v1","id":"07db19b20cd13025b65822eb","url":"https://jobsearcher.com/jobs/07db19b20cd13025b65822eb","canonicalUrl":"https://jobsearcher.com/jobs/07db19b20cd13025b65822eb","title":"Senior Azure DevOps Engineer (MLOps)","description":"Locations: Dublin, Ireland (Hybrid mode)\r\nJob Type: Full-time\r\nWe 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.\r\nYou 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.\r\nResponsibilities\r\nDesign, implement, and manage CI/CD pipelines for both application and machine learning workloads\r\nBuild and maintain Infrastructure-as-Code (IaC) using tools such as Terraform or Bicep\r\nDevelop and operationalise MLOps pipelines, including data ingestion, model training, validation, deployment, and monitoring\r\nAutomate build, test, and release processes to improve delivery speed and reliability\r\nManage and optimise Azure services, including Azure DevOps, Azure Kubernetes Service (AKS), and Azure Machine Learning\r\nImplement model versioning, experiment tracking, and reproducibility practices\r\nCollaborate with data scientists and engineers to productionise machine learning models\r\nEstablish monitoring, logging, and alerting for both applications and ML models (performance, drift, failures)\r\nEnsure security, compliance, and governance across cloud environments\r\nOptimise cloud infrastructure for cost, performance, and scalability\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, or related field.\r\n6+ years of experience in cloud consulting or engineering roles.\r\nStrong experience in DevOps engineering, with hands-on delivery in Azure environments\r\nProven experience implementing MLOps practices in production settings\r\nProficiency with CI/CD tools (e.g., Azure DevOps Pipelines, GitHub Actions)\r\nExperience with containerisation and orchestration (Docker, Kubernetes/AKS)\r\nSolid experience with Infrastructure-as-Code (Terraform, Bicep, or ARM templates)\r\nFamiliarity with Azure Machine Learning or similar ML platforms\r\nExperience with scripting and automation (Python, Bash, or PowerShell)\r\nUnderstanding of machine learning lifecycle concepts (training, evaluation, deployment, monitoring)\r\nKnowledge of monitoring and observability tools (e.g., Azure Monitor, Prometheus, Grafana)\r\nStrong understanding of cloud security best practices and identity management (IAM, RBAC)\r\nBenefits\r\nShare in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.\r\nStrong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.\r\nFlexible/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.\r\nFinancial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.\r\nEmployee 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.\r\nEducational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.\r\nReward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform.\r\nEnvironment, 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.\r\nJ-18808-Ljbffr","company":"Version 1","rawCompany":"version 1","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-11T05:07:59.061Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Azure DevOps Engineer (MLOps)","description":"Locations: Dublin, Ireland (Hybrid mode)\r\nJob Type: Full-time\r\nWe 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.\r\nYou 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.\r\nResponsibilities\r\nDesign, implement, and manage CI/CD pipelines for both application and machine learning workloads\r\nBuild and maintain Infrastructure-as-Code (IaC) using tools such as Terraform or Bicep\r\nDevelop and operationalise MLOps pipelines, including data ingestion, model training, validation, deployment, and monitoring\r\nAutomate build, test, and release processes to improve delivery speed and reliability\r\nManage and optimise Azure services, including Azure DevOps, Azure Kubernetes Service (AKS), and Azure Machine Learning\r\nImplement model versioning, experiment tracking, and reproducibility practices\r\nCollaborate with data scientists and engineers to productionise machine learning models\r\nEstablish monitoring, logging, and alerting for both applications and ML models (performance, drift, failures)\r\nEnsure security, compliance, and governance across cloud environments\r\nOptimise cloud infrastructure for cost, performance, and scalability\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, or related field.\r\n6+ years of experience in cloud consulting or engineering roles.\r\nStrong experience in DevOps engineering, with hands-on delivery in Azure environments\r\nProven experience implementing MLOps practices in production settings\r\nProficiency with CI/CD tools (e.g., Azure DevOps Pipelines, GitHub Actions)\r\nExperience with containerisation and orchestration (Docker, Kubernetes/AKS)\r\nSolid experience with Infrastructure-as-Code (Terraform, Bicep, or ARM templates)\r\nFamiliarity with Azure Machine Learning or similar ML platforms\r\nExperience with scripting and automation (Python, Bash, or PowerShell)\r\nUnderstanding of machine learning lifecycle concepts (training, evaluation, deployment, monitoring)\r\nKnowledge of monitoring and observability tools (e.g., Azure Monitor, Prometheus, Grafana)\r\nStrong understanding of cloud security best practices and identity management (IAM, RBAC)\r\nBenefits\r\nShare in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.\r\nStrong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.\r\nFlexible/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.\r\nFinancial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.\r\nEmployee 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.\r\nEducational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.\r\nReward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform.\r\nEnvironment, 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.\r\nJ-18808-Ljbffr","datePosted":"2026-04-11T05:07:59.061Z","dateModified":"2026-04-11T05:07:59.061Z","hiringOrganization":{"@type":"Organization","name":"Version 1","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07db19b20cd13025b65822eb"},"url":"https://jobsearcher.com/jobs/07db19b20cd13025b65822eb"}}