AI Security Engineering Lead

• The Chief Security Office (CSO) plays a critical role in safeguarding the Group against an increasingly complex threat landscape while supporting its vision of helping Britain prosper
• As AI reshapes both opportunity and risk, we are strengthening our capability to secure the Group’s rapidly expanding AI ecosystem. We are looking for an experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems
• This is a hands‑on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. You will work directly on code, automation, and platform design, while influencing direction and embedding best practice across AI security engineering in collaboration with senior technical customers and cross‑functional teams
• You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts generative AI, agentic systems, and automation at scale
• This team is responsible for defending one of the UK’s most trusted institutions as it adopts next generation AI capabilities. You’ll help shape the Group’s AI security posture, designing and deploying the controls that keep our customers, colleagues, and services safe - while enabling bold transformation across the bank

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.

• The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‑by‑design approaches
• Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment
• Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‑premise platforms
• Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment
• Certifications such as CISSP, CCSP, or cloud security accreditations are appreciated but not required
• Strong hands‑on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML)
• Experience building automation and engineering tooling using Python, Go, or similar languages
• Solid understanding of cloud‑native and containerised architectures, including Kubernetes and serverless technologies

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