4 of 4 Infrastructure as Code Jobs in Warrington

Machine Learning Engineer

Location
Warrington, England, United Kingdom
organisation's machine learning engineering capability and Data Science platform Build and automate end-to-end machine learning workflows using CI/CD and Infrastructure as Code Collaborate with Data Scientists throughout the model development and deployment lifecycle Work closely with engineering teams and business … technologies such as Docker and orchestration platforms including Kubernetes Knowledge of modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment ...

Principal Platform Engineer

Location
Warrington, England, United Kingdom
Platform Engineer, deploying applications and software to cloud or on-prem environments for our many business areas. Building and setting up development tools and infrastructure Understand the needs of project stakeholders Automate and improve development and release processes Ensure that systems are safe and secure against cyber security threats … attain an eDV clearance Required Experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible, etc. Building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container ...

Principal Platform Engineer — Hybrid Cloud & CI/CD Leader

Location
Warrington, England, United Kingdom
ensure security against cyber threats, and work with cross-functional teams. Applicants should have Agile/SCRUM/DevOps experience, cloud (AWS/Azure), IaC tools, and container #J-18808-Ljbffr ...

Hybrid ML Engineer — Production AI & Cloud

Location
Warrington, England, United Kingdom
taking ML models from research to production and delivering scalable AI solutions. The role emphasizes designing end-to-end ML workflows, CI/CD, IaC, and collaboration with Data Scientists, Data Engineers and Software Engineers to deploy robust ML systems in a cloud environment. #J-18808-Ljbffr ...