Senior Cloud & AI Security Enablement Engineer

RELX INC; Farringdon; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Generous holiday allowance

Life assurance

Pension plan

Employee discounts

Job summary

RELX is seeking a Senior Cloud & AI Security Engineer to secure cloud platforms and AI-driven solutions. You will design guardrails, automate security controls, and partner with engineering teams to embed security into cloud landing zones and CI/CD pipelines.

The role spans Cloud Security Engineering, AI Security Enablement, and Secure AI applications. The successful candidate will build reusable patterns, support CSPM/CNAPP tooling, and develop developer-facing guidance for safe AI coding.

Qualifications

• Experience in machine learning engineering and cloud security engineering.
• Hands-on with IAM, logging, encryption, secrets management, network security, and vulnerability management.
• Ability to translate security standards into practical implementation patterns.

Responsibilities

• Design and maintain cloud security guardrails and reference implementations.
• Enable secure AI adoption with AI-assisted workflows and governance.
• Develop secure design patterns for AI-enabled applications and AI workloads.
• Create reusable guidance, templates, and tooling to reduce manual security work.

Skills

Machine learning engineering

Cloud security engineering

Application security

Security architecture

DevSecOps

Security automation

IAM

Logging

Encryption

Secrets management

Vulnerability management

CI/CD security

Scripting/automation

Security tooling

Tools

AWS

Azure

Job description

RELX is seeking a Senior Cloud & AI Security Engineer to secure cloud platforms and AI-driven solutions. You will design guardrails, automate security controls, and partner with engineering teams to embed security into cloud landing zones and CI/CD pipelines.

The role spans Cloud Security Engineering, AI Security Enablement, and Secure AI applications. The successful candidate will build reusable patterns, support CSPM/CNAPP tooling, and develop developer-facing guidance for safe AI coding.