AI Security Engineering Lead in London

AI Security Engineering Lead in London

London Full-Time 92701 - 115000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI security engineering initiatives and design secure systems for cutting-edge AI technologies.
  • Company: Join a pioneering bank shaping finance for good with a dynamic culture.
  • Benefits: Generous salary, pension contributions, 30 days holiday, and flexible working options.
  • Other info: Diversity-focused workplace with excellent growth opportunities and continuous learning.
  • Why this job: Make a real impact on AI security while advancing your career in a supportive environment.
  • 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 London employer: Lloyds Banking Group

Join a pioneering organisation that is at the forefront of shaping 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 encourages continuous learning and professional growth, alongside a comprehensive benefits package including generous pension contributions, flexible working arrangements, and 30 days of holiday. 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.

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Contact Details:

Lloyds Banking Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Security Engineering Lead in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your AI security projects. It’s a great way to demonstrate your expertise beyond the interview.

Tip Number 3

Prepare for those tricky technical interviews. Brush up on your coding skills and be ready to solve problems on the spot. Practice makes perfect!

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 London

AI/ML Security Expertise
Secure Engineering Patterns
DevSecOps Practices
Machine Learning Stacks (PyTorch, TensorFlow, MLflow, Kubeflow)
Cloud Native Architectures
Containerised Architectures (Kubernetes, Serverless Technologies)
Automation and Engineering Tooling (Python, Go)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Security Engineering Lead role. Highlight your experience in securing AI and ML systems, and don’t forget to mention any relevant projects or technologies you've worked with.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI security and how your skills align with our mission. Be genuine and let your personality come through.

Showcase Your Technical Skills:We want to see your hands-on experience! Include specific examples of your work with machine learning stacks, cloud architectures, and automation tools. This will help us understand your technical expertise.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Lloyds Banking Group

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 securing AI systems. Be ready to discuss your hands-on experience with frameworks like PyTorch or TensorFlow, as well as your understanding of secure deployment strategies.

Showcase Your Leadership Skills

As an AI Security Engineering Lead, you'll need to demonstrate your ability to lead engineering initiatives. Prepare examples of past projects where you've taken ownership and influenced direction. Highlight how you've embedded DevSecOps practices and championed secure architectures in your previous roles.

Understand the Company’s Vision

Research the company’s mission and values, especially their approach to AI and security. Be ready to articulate how your skills align with their goals of safeguarding their AI ecosystem while enabling transformation. This shows that you're not just looking for a job, but are genuinely interested in contributing to their vision.

Prepare for Technical Questions

Expect technical questions that assess your problem-solving abilities and coding skills. Brush up on your Python or Go programming, and be prepared to tackle scenarios related to cloud-native architectures and containerised environments. Practising coding challenges can help you feel more confident during this part of the interview.