At a Glance
- Tasks: Lead AI security initiatives and design secure engineering patterns for cutting-edge AI systems.
- Company: Join a trusted UK institution at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Hands-on role with excellent career advancement in a dynamic environment.
- Why this job: Make a real impact in securing AI technologies that shape the future.
- Qualifications: Deep expertise in AI/ML security and modern software engineering required.
The predicted salary is between 80000 - 100000 £ per year.
Requirements
- The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‑by‑design approaches.
- 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.
What the job involves
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.
AI Security Engineering Lead employer: Lloyd's
As an employer, we pride ourselves on fostering a culture of innovation and collaboration, where your expertise in AI security will be valued and impactful. Located in the heart of the UK, we offer competitive benefits, continuous professional development opportunities, and a commitment to work-life balance, ensuring that you thrive both personally and professionally. Join us in shaping the future of secure AI systems while being part of a team dedicated to protecting one of the nation's most trusted institutions.
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/ML security. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your hands-on experience with tools like TensorFlow and Kubernetes, as well as your approach to secure engineering.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. 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 CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in AI/ML security and any relevant projects you've led, as this will show us you're a great fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI security and how your background aligns with our mission. Share specific examples of your hands-on experience with machine learning stacks and secure engineering practices.
Showcase Your Technical Skills:Don’t shy away from detailing your technical prowess! Mention your experience with tools like PyTorch, TensorFlow, and any cloud-native architectures you’ve worked with. We want to see how you can contribute to our team’s success.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Lloyd's
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI/ML security technologies mentioned in the job description. Brush up on your knowledge of PyTorch, TensorFlow, and any other relevant stacks. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar with them, but that you can actually apply them in real-world scenarios.
✨Demonstrate Your Leadership Skills
Since this role involves technical leadership, be prepared to share examples of how you've led engineering initiatives in a DevSecOps environment. Think about specific challenges you faced, how you approached them, and the outcomes. This will help illustrate your capability to influence direction and embed best practices.
✨Showcase Your Problem-Solving Abilities
Expect to encounter complex problem spaces during the interview. Prepare to discuss how you’ve tackled similar challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your engineering expertise helped resolve issues effectively.
✨Understand the Bigger Picture
Familiarise yourself with the organisation’s vision and how AI is reshaping their operations. Be ready to discuss how you can contribute to securing their AI ecosystem while enabling transformation. Showing that you understand the strategic importance of your role will set you apart from other candidates.
