Senior AI Security Engineer (GenAI & LLM Protection)

Senior AI Security Engineer (GenAI & LLM Protection)

Location: Knutsford, Cheshire (Hybrid: 3 days in office / 2 days remote)
Duration: Long-term contract (Until July 2026)
Rate: £600 per day
IR35 Status: Inside IR35 (Umbrella PAYE)

The Opportunity

Are you ready to define the future of AI Security in the financial sector? We are representing a global technology powerhouse tasked with securing the GenAI and Machine Learning roadmap for a Tier 1 Investment Bank.
This is a rare opportunity for a Security SME to move beyond traditional infrastructure and secure the next generation of AI-driven banking services.

The Role

As a Senior AI Security Engineer, you will be the Subject Matter Expert (SME) responsible for protecting the bank's AI/ML ecosystems. You will bridge the gap between Data Science and Cyber Security, ensuring that Large Language Models (LLMs) and Generative AI deployments are resilient, governed, and secure from emerging threats.
Key Responsibilities:

AI Governance & Guardrails: Drive the implementation of AI security platforms (e.g., Azure AI Security, AWS AI Guardrails, or Google Vertex AI Security).

Threat Modelling & Pentesting: Conduct specialized assessments of AI/ML pipelines, model APIs, and data ingestion layers.

Security Automation: Use Python to develop custom tooling and scripts that automate vulnerability testing for AI-related software.

Model Security Research: Stay at the forefront of AI risks (OWASP for LLMs) and execute Proof of Concepts (PoCs) to evaluate new defensive technologies.

Architecture & Design: Contribute to the design of cloud-native GenAI security services, ensuring they align with global data privacy and DLP standards.

Technical Requirements

We are looking for a security professional who understands both the "Cyber" and "Data Science" sides of the equation.
Core Requirements:

AI Security Platforms: Expert knowledge of at least one industry-leading AI security framework (Azure, AWS, Google, or IBM Watson OpenScale).

Cyber Security Fundamentals: Deep experience with firewalls, SIEM platforms, IDS/IPS, and vulnerability management.

Advanced Scripting: High proficiency in Python for automation and security tooling development.

Cloud Ecosystems: Hands-on experience securing workloads within AWS or Azure.

AI/ML Frameworks: A strong understanding of LangChain, PyTorch, or Scikit-learn is a significant advantage.

Experience: 5+ years in Security Engineering, DevOps, or Infrastructure roles.

Preferred Qualifications

Specialized Certifications: CGLCP (Certified GenAI and LLM Cybersecurity Professional) or AWS Certified AI Practitioner.

Industry Standard Certs: CISSP or equivalent.

Financial Services: Experience working in a highly regulated or global banking environment.

Working Pattern & Culture

This role follows a 60% office-based / 40% remote hybrid model. You will join an elite team in Knutsford, an environment designed for innovation, collaboration, and high-performance engineering