DevOps Machine Learning Engineer

DevOps ML Engineer | Machine Learning | AI | Azure Migration | Docker | Kubernetes | Terraform | Atlantis | Linux | 1 day in Borehamwood | £75,000

Method Resourcing have partnered with a rapidly growing UK-based insurance services partner who are going from strength-to-strength in their growth as they look to add a DevOps ML Engineer to their team.

The role: You will collaborate with data scientists and ML engineers to deploy machine learning models on Azure. Alongside this, you will identify where new technologies can improve their automated workflows and optimise their build and release cycles. You will design Azure DevOps CI/CD pipelines and templates for use with Azure PaaS containerised services, and work closely with development teams, DBA's, architects and cloud partners to design, plan and build infrastructure to meet business requirements.

The skills and experience we are looking for:

• Exposure to Azure ML and extensive knowledge in machine learning.
• In-depth knowledge and understanding of WAF design and policy implementation.
• Production experience utilising Infrastructure as code automation (Terraform, Atlantis).
• Experience with designing and writing CI/CD pipelines (Azure DevOps).
• Git version control, branching strategies and workflows.
• Practical experience with monitoring tools (Azure log Analytics, Azure Monitor).
• Familiarity with the Microsoft Azure cloud adoption framework.
• Strong communication skills.

Working arrangements: This role requires 1 day in their Borehamwood office and the other 4 days WFH, please ensure you can travel to this location before applying.

NO SPONSORSHIP can be offered for this role.

If this sounds of interest then please apply, or send your CV to .

DevOps ML Engineer | Machine Learning | AI | Azure Migration | Docker | Kubernetes | Terraform | Atlantis | Linux | 1 day in Borehamwood | £75,000