Cloud Security Engineer (LLM Security)

Salary: £36,000 - 60,000 per year

Requirements

• Strong background in cloud security engineering, ideally with deep experience on AWS; Azure exposure is highly beneficial
• Hands-on experience or working exposure in securing LLM/AI workloads, including model deployment, data flows, and runtime considerations
• Proficiency with cloud-native security tooling (CSPM, CWPP, secrets management, logging/monitoring, container security)
• Experience securing IaC and CI/CD pipelines using tools such as Terraform, CloudFormation, GitHub Actions, GitLab, or similar
• Knowledge of IAM design, network security controls, encryption, secrets management, and cloud identity principles
• Understanding of modern cloud architectures (serverless, microservices, managed AI/ML services) and their associated security risks
• Ability to collaborate effectively with AI engineers, developers, and cloud teams to ensure secure implementation of AI workloads
• Desirable: Experience securing GenAI, Agentic AI, vector databases, model APIs, or data pipelines used by LLMs
• Desirable: Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection)
• Desirable: Background working in regulated industries such as Financial Services or Insurance
• Desirable: Strong stakeholder communication skills, including the ability to influence engineering teams and articulate cloud/AI security risks clearly

Responsibilities

• Deliver cloud security engineering capability focused on securing AI, LLM, and cloud-native workloads, with AWS as the primary environment and Azure as a secondary platform
• Implement secure cloud architectures and controls, ensuring AI/LLM workloads comply with organisational security standards and cloud security policies
• Work with architects and AI engineering teams to define secure patterns for LLM deployments, AI agents, and model pipelines across cloud environments
• Engineer and operationalise cloud-native security tooling, including IaC security, secrets management, container security, and monitoring solutions
• Integrate security controls into CI/CD pipelines and modern development workflows, enabling secure and automated deployment of cloud and AI workloads
• Participate in threat modelling, risk assessment, and security design reviews for AI applications, APIs, and cloud services
• Support evaluation and onboarding of emerging AI security tools and cloud-native security capabilities, contributing to technology selection and capability uplift

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• GitHub
• GitLab
• IAM
• Support
• LLM
• Network
• Security
• Serverless
• Terraform
• microservices

More

We are a forward-thinking company focused on integrating cutting-edge security measures into AI and cloud environments. Our team thrives in a collaborative atmosphere where innovation and security come together to create robust solutions. We offer a supportive work environment, opportunities for professional development, and the chance to work with the latest cloud technologies. This position is located in a flexible work setting, allowing for both remote and on-site collaboration.

last updated 13 week of 2026