At a Glance
- Tasks: Lead AI security engineering, designing secure systems and collaborating with cross-functional teams.
- Company: Join a pioneering bank shaping finance for good with a dynamic culture.
- Benefits: Generous salary, pension contributions, bonuses, and 30 days holiday plus bank holidays.
- Other info: Diversity-focused workplace with excellent learning and career growth opportunities.
- Why this job: Make a real impact on AI security in one of the UK's largest organisations.
- Qualifications: Experience in AI/ML security and strong software engineering skills required.
The predicted salary is between 92701 - 115000 £ per year.
SALARY: £92,701 - £115,000 per annum (outside London) £107,304 - £130,000 per annum (London)
LOCATION: Leeds, Bristol, Edinburgh, Manchester, London
HOURS: Full-time - 35 hours
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you'll be doing: 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. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‑by‑design approaches. 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.
Why Join us? If you think all banks are the same, you're wrong. We're a pioneering, fast‑changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it.
What we're looking for:
- Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.
- Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.
- Strong hands-on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).
- 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: 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.
What You'll Get:
- A 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.
- An environment that supports experimentation, an engineering‑forward approach, and continuous learning.
- Training, certifications, and learning pathways across AI, Cloud, Security Engineering, and Architecture.
This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long‑term health or neurodivergent condition, through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you'll learn and thrive? Apply today and find out more.
AI Security Engineering Lead in Bristol employer: Lloyds Banking Group
Join a pioneering financial institution that is at the forefront of shaping finance for good. As an AI Security Engineering Lead, you will thrive in a dynamic work culture that prioritises continuous learning and innovation, with access to extensive training and development opportunities. Enjoy a generous benefits package, including a substantial pension contribution, flexible working arrangements, and a commitment to diversity and inclusion, making this an exceptional place to advance your career while contributing to meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Engineering Lead in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your AI security expertise, make sure to share them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview scenarios related to AI security and be ready to discuss how you've tackled challenges in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly!
We think you need these skills to ace AI Security Engineering Lead in Bristol
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI security and DevSecOps. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Your Passion for AI Security:Let us know why you’re excited about AI security! Share any personal projects or experiences that demonstrate your enthusiasm and expertise in securing AI and ML systems. This is your chance to stand out!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point.
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 Banking Group
✨Know Your AI Security Stuff
Make sure you brush up on your knowledge of AI and ML security. Be ready to discuss specific challenges in securing AI systems, like model lifecycle security and data pipelines. Show them you understand the complexities of the threat landscape and how to tackle them.
✨Show Off Your Hands-On Experience
Prepare to talk about your hands-on experience with machine learning stacks like PyTorch or TensorFlow. Bring examples of projects where you've implemented secure engineering patterns or DevSecOps practices. This is your chance to demonstrate your technical leadership skills!
✨Understand Their Environment
Familiarise yourself with hybrid environments, especially if they use public and private cloud platforms. Be ready to discuss how you’ve navigated these setups in the past and how you can contribute to their secure architecture.
✨Ask Insightful Questions
Prepare some thoughtful questions about their AI security strategy and how they plan to evolve with emerging technologies. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.