Job Description

Our client is looking for a highly skilled

Security Engineer (AI)

to strengthen their cyber security posture across modern AI and cloud-native environments. The ideal candidate will have strong experience securing machine-learning systems, cloud infrastructure, data pipelines, APIs, and enterprise applications.

You will play a critical role in designing and implementing security controls for AI/ML models, LLM pipelines, data governance frameworks, and high-scale distributed systems.

Key Responsibilities

Design, implement, and maintain security controls for AI/ML systems (LLMs, RAG pipelines, data lakes, MLOps environments). Secure end-to-end AI workflows including data ingestion, model training, validation, deployment, and monitoring. Conduct threat modelling for AI systems (model inversion, data poisoning, prompt injection, adversarial attacks). Implement API security, identity & access management (IAM), secrets management, and encryption standards. Build and automate security testing across cloud-native platforms (Azure, AWS, GCP). Monitor security incidents, vulnerabilities, and anomalies involving AI systems. Perform penetration testing and red-team exercises for AI models and cloud infrastructure. Develop policies for responsible AI, model governance, and compliance (GDPR, ISO27001, SOC2). Work closely with engineering, product, and data teams to embed security into architecture and development workflows.

Essential Skills & Experience

4+ years in Cyber Security, Cloud Security, or DevSecOps. Strong understanding of AI/ML systems, LLM architectures, vector databases, and MLOps pipelines. Experience with cloud platforms:

Azure

,

AWS

, or

GCP

. Hands-on experience with: Threat modelling (STRIDE, MITRE ATT&CK) Vulnerability management Secrets management (Vault, KMS, Key Vault) CI/CD pipelines API and microservices security Familiarity with securing AI workloads (LLM security, prompt injection defence, secure inference pipelines). Strong Python and/or security automation experience. Experience with identity and access security (OAuth2, SSO, Azure AD/Entra ID).

Desirable Skills

Experience with data security frameworks (DLP, encryption, tokenisation). Security certifications: CISSP, CISM, CEH, Security+, AZ-500, CCSP. Experience with tools such as Datadog, Splunk, Snyk, Prisma Cloud, Wiz, etc. Knowledge of AI Safety, governance, and model risk management.
Job Types: Full-time, Permanent, Temp to perm
Contract length: 12 months

Pay: 44,420.00-90,889.73 per year

Work Location: Hybrid remote in London E16