About the role
Secure AI/ML systems and embed security into AI deployments across the organisation.
- •Hands-on Cyber Security Engineer focused on securing AI/ML systems and enabling safe, governed deployment of AI across the organisation.
- •Key Responsibilities Design and implement security controls for AI, LLMs, models, and cloud infrastructure.
- •Assess AI security, privacy, and compliance risks including prompt injection and data leakage.
- •Develop standards, guardrails, and reference architectures for secure AI use.
- •Build monitoring, detection, and response capabilities for AI-related threats.
- •Requirements Experience in cyber security engineering or security architecture.
- •Strong understanding of IAM, cloud security, application security, and monitoring.
- •Knowledge of AI/ML and LLM concepts, embeddings, and prompt handling.
- •Experience securing AWS/Azure/GCP environments and conducting threat modelling.
Tech stack
LLMsAWSAzureGoogle Cloud
Match insights
Tech:LLMs, AWS, Azure, Google Cloud
Level:Mid
Location:London, United Kingdom