Security Engineer

Contract

Location: Hybrid / Remote (UK)

About the role

Olive Jar Digital is seeking a DevOps Engineer to support the delivery of multiple AI-focused initiatives through Discovery and Alpha. You will design and maintain automated deployment pipelines, ensure environments are reliable and secure, and enable smooth integration of prototypes and services.

We are looking for a SecOps Operations Engineer with strong Azure security experience and exposure to AI/ML platforms to support secure cloud-based model development and deployment.

About Olive Jar Digital

As we grow, we empower our teams to develop their roles and functions and offer support to get you from where you are now, to where you want to be. Moving towards our 10th year, we are now an established brand, building digital products and services and championing the provision of expert talent to enhance customer and in-house teams, satisfying all user needs.

We are a professional, fun, fully Inclusive and diverse digital consultancy, valuing everyone's opinion. With a huge growth plan over the next two years, we are looking to expand our client facing delivery team with designers, developers, and testers as we continue to expand our project portfolio.

Key Skills

• Azure Security: Azure ML, AKS, App Service, Key Vault, Container Registry
• Microsoft Security Stack: Sentinel (SIEM/SOAR), Defender for Cloud, Entra ID (Azure AD)
• IAM & Network Security: RBAC, Conditional Access, private endpoints, VNet isolation
• AI/ML Security Awareness: Data poisoning, adversarial attacks, model theft, model drift
• DevSecOps & Automation: Terraform or Bicep, CI/CD security (Azure DevOps / GitHub Actions)

Responsibilities

• Secure Azure-based AI/ML environments across build, deployment, and operations
• Implement least-privilege access, encryption, vulnerability scanning, and security baselines
• Configure threat detection and monitoring using Microsoft Sentinel
• Support security posture management, compliance, and operational security monitoring
• Work with engineering teams to identify and respond to security risks

Nice to have:

• Public sector or regulated environment experience
• Exposure to MLOps or AI platform security