Salary: £66,000 - 72,000 per year Requirements: Expert knowledge of at least one industry-leading AI security framework (Azure, AWS, Google, or IBM Watson OpenScale) Deep experience with firewalls, SIEM platforms, IDS/IPS, and vulnerability management High proficiency in Python for automation and security tooling development Hands-on experience securing workloads within AWS or Azure A strong understanding of LangChain, PyTorch, or Scikit-learn is a significant advantage 5 years in Security Engineering, DevOps, or Infrastructure roles Specialized Certifications: CGLCP (Certified GenAI and LLM Cybersecurity Professional) or AWS Certified AI Practitioner (preferred) Industry Standard Certs: CISSP or equivalent (preferred) Experience working in a highly regulated or global banking environment (preferred) Responsibilities: Drive the implementation of AI security platforms (e.g., Azure AI Security, AWS AI Guardrails, or Google Vertex AI Security) Conduct specialized assessments of AI/ML pipelines, model APIs, and data ingestion layers Develop custom tooling and scripts using Python to automate vulnerability testing for AI-related software Stay at the forefront of AI risks (OWASP for LLMs) and execute Proof of Concepts (PoCs) to evaluate new defensive technologies Contribute to the design of cloud-native GenAI security services, ensuring alignment with global data privacy and DLP standards Technologies: AI AWS Azure Cloud DevOps IBM LLM Machine Learning OWASP PyTorch Python Security More: We are a global technology powerhouse focused on securing the GenAI and Machine Learning roadmap for a Tier 1 Investment Bank. This is a long-term contract role based in Knutsford, Cheshire, following a hybrid model with 3 days in the office and 2 days remote. We offer a collaborative and high-performance engineering environment where our team drives innovation and secures the future of AI in the financial sector. last updated 7 week of 2026