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 Manchester employer: Lloyds Banking Group
Join a pioneering organisation that is at the forefront of transforming finance for good, where your expertise as an AI Security Engineering Lead will directly influence the security of cutting-edge AI systems. With a strong commitment to diversity, equity, and inclusion, we offer a supportive work culture that prioritises continuous learning and professional growth, alongside a comprehensive benefits package including generous pension contributions, flexible working arrangements, and a focus on employee wellbeing. This is not just a job; it's an opportunity to make a meaningful impact in one of the UK's most trusted institutions while enjoying a dynamic and innovative work environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Engineering Lead in Manchester
✨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 GitHub, make sure it’s up to date. Let your work speak for itself and impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI security. The more you rehearse, the more confident you'll feel when it counts.
✨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!
We think you need these skills to ace AI Security Engineering Lead in Manchester
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 you've faced in securing AI systems, and how you've implemented secure engineering patterns. This role is all about hands-on experience, so be prepared to dive deep into technical discussions.
✨Showcase Your Leadership Skills
As a lead, you'll need to demonstrate your ability to guide teams through complex problem spaces. Think of examples where you've influenced direction or embedded best practices in a DevSecOps environment. Highlight your experience in leading engineering initiatives and how you've elevated team capabilities.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with the machine learning stacks mentioned in the job description, like PyTorch and TensorFlow. Be ready to talk about your experience with cloud-native architectures and automation tools. If you've built anything using Python or Go, make sure to bring that up!
✨Emphasise Your Adaptability
This role involves working in hybrid environments, so it's crucial to show that you're adaptable. Share experiences where you've successfully navigated public and private cloud platforms, and how you've tackled challenges in complex setups. This will demonstrate your readiness for the dynamic nature of the role.
