At a Glance
- Tasks: Design secure AI systems and lead innovative engineering projects.
- Company: Join a leading security organisation shaping the future of AI.
- Benefits: Competitive salary, generous pension, flexible benefits, and 30 days holiday.
- Other info: Dynamic role with continuous learning and career growth opportunities.
- Why this job: Make a real impact on national AI security strategies and protect customers.
- Qualifications: Experience in AI security, coding, and cloud technologies required.
The predicted salary is between 92701 - 109060 £ per year.
Salary Range: £92,701 - £109,060
Locations: Leeds, Bristol, Edinburgh, Manchester, London
Hours: Full‑time – 35 hours
Working Pattern: Hybrid – at least two days per week (40%) at an office site.
End Date: Thursday 25 June 2026
Responsibilities
- Design and deliver secure engineering patterns, controls and tooling for AI and machine‑learning systems.
- Develop code, automation and platform solutions while embedding best practice across AI security engineering.
- Lead complex problem spaces and provide technical leadership to cross‑functional teams.
- Champion secure architectures, embed DevSecOps practices and elevate engineering capability as the organisation adopts generative AI, agentic systems and automation at scale.
- Influence security direction in collaboration with senior technical customers.
Qualifications
- Senior security engineering experience with a focus on AI and ML security at scale.
- Strong expertise in model lifecycle security, data pipelines and secure deployment.
- Hands‑on experience with ML stacks such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms.
- Solid understanding of cloud‑native and containerised architectures, including Kubernetes and serverless technologies.
- Experience operating in complex hybrid environments spanning public cloud, private cloud and on‑premise platforms.
- Experience building automation and engineering tooling using Python, Go or similar languages.
- Certifications such as CISSP, CCSP or cloud security accreditations are appreciated but not required.
Why This Role Matters
The team is responsible for defending one of the UK's most trusted institutions as it adopts next‑generation AI capabilities, shaping the Group's AI security posture and ensuring the safety of customers, colleagues and services.
Benefits
- Senior technical leadership role in one of the UK's largest and most dynamic security organisations.
- Opportunity to shape AI security strategy at national scale.
- Continuous learning with training, certifications and learning pathways across AI, Cloud, Security Engineering and Architecture.
- A generous pension contribution of up to 15%.
- Annual bonus award, subject to Group performance.
- Share schemes including free shares.
- Flexible benefits, including discounted shopping, 30 days holiday (plus bank holidays) and a range of well‑being initiatives.
- Generous parental leave policies.
Equality, Diversity & Inclusion
We are a Disability Confident Leader and guarantee interviews for applicants with a disability, long‑term health condition or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to remove barriers. We are committed to a diverse, equitable and inclusive workforce where everyone can thrive, learn and develop.
AI Security Engineering Lead employer: Lloyds Bank plc
As an AI Security Engineering Lead, you will join one of the UK's largest and most dynamic security organisations, where your expertise will directly influence national AI security strategies. With a strong commitment to continuous learning, generous benefits including a 15% pension contribution, and a culture that champions equality, diversity, and inclusion, this role offers a meaningful opportunity to grow in a supportive environment while making a significant impact on the safety of customers and services across the nation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the AI security space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and ML security. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI security. We recommend practicing with friends or using mock interview platforms to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Security Engineering Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and ML security. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Technical Skills:Since this role is all about technical leadership, be sure to include specific examples of your hands-on experience with ML stacks like PyTorch or TensorFlow. We love seeing how you’ve tackled complex problems in your previous roles!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and ML security. Familiarise yourself with the latest trends, tools, and best practices in the field. Being able to discuss specific technologies like PyTorch or TensorFlow will show that you're not just a theorist but someone who can get hands-on.
✨Showcase Your Leadership Skills
As an AI Security Engineering Lead, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples from your past experiences where you've successfully led projects or influenced security direction. This will help the interviewers see you as a strong candidate for the role.
✨Understand the Company’s Vision
Research the company’s approach to AI security and their overall mission. Be ready to discuss how you can contribute to shaping their AI security strategy. Showing that you align with their goals will make you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Technical Questions
Expect to face technical questions related to secure engineering patterns and DevSecOps practices. Brush up on your coding skills, especially in Python or Go, and be prepared to solve problems on the spot. Practising common technical interview questions can help you feel more confident.
