At a Glance
- Tasks: Lead AI security initiatives and shape firm-wide strategies for securing AI systems.
- Company: Join G-Research, a leader in quantitative finance with a focus on innovation.
- Benefits: Competitive pay, 30 days leave, healthcare, and fun monthly events.
- Other info: Enjoy a relaxed dress code and excellent work/life balance.
- Why this job: Make a real impact on AI security while working with cutting-edge technology.
- Qualifications: Experience in securing large-scale software or ML systems and strong collaboration skills.
The predicted salary is between 80000 - 100000 £ per year.
We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity, building a world‑class platform as part of G‑Research. As a Principal AI Security Engineer you will provide firm‑wide technical leadership for AI security across the full lifecycle, reporting to the Head of Security and acting as the senior technical authority across research engineering, platform engineering, security and risk teams. You will shape technical direction, define design patterns, and influence firm‑wide decisions on AI risk, resilience and governance.
Key Responsibilities
- AI system security leadership
- Define and drive the firm‑wide approach to securing AI systems across the model lifecycle.
- Identify systemic AI‑specific risks, including model integrity, prompt injection and misuse.
- Establish secure design principles that enable experimentation while maintaining strong controls.
- Securing AI‑enabled engineering and autonomy
- Provide technical leadership on securing AI‑assisted development and autonomous workflows.
- Define guardrails, integrity controls and standards for integrating AI services into engineering and operational platforms.
- Identity, Integrity and Logging
- Design robust identity and access models for AI systems, including service authentication and role‑based restrictions.
- Ensure integrity of models, data and pipelines with strong logging and audit mechanisms.
- Cross‑functional influence and governance
- Work with senior stakeholders across engineering, security, research and risk to translate AI risks into actionable controls.
- Contribute to firm‑wide AI governance, risk and control strategy.
- Technical depth and hands‑on contribution
- Lead design reviews, threat modelling and targeted implementation for critical AI initiatives.
- Raise technical standards and mentor senior engineers on AI‑related security challenges.
Qualifications
- Securing large‑scale software or ML systems in production.
- Expertise in AI or ML security, including model integrity, adversarial threats and supply‑chain risk.
- Strong understanding of modern ML architectures, training workflows and inference infrastructure.
- Excellent engineering fundamentals with the ability to engage with complex systems and code.
- Proven ability to influence technical direction through collaboration and evidence.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided via Just Eat for Business and dedicated barista bar.
- 30 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
Principal AI Security Engineer in London employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Principal AI Security Engineer, you will benefit from highly competitive compensation, generous annual leave, and a strong focus on work/life balance, all while working in a cutting-edge environment that prioritises employee growth and development. With opportunities for mentorship and cross-functional influence, you'll play a pivotal role in shaping the future of AI security within a supportive and forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Security Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI security. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI security. Practice explaining your thought process clearly, as communication is key in this role.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Principal AI Security Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the Principal AI Security Engineer role. Highlight your expertise in AI security, model integrity, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI security and how your background makes you a great fit for our team. Be sure to mention any leadership experiences and your approach to tackling complex problems.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical skills. We want to see your understanding of modern ML architectures and your hands-on experience with securing large-scale software or ML systems.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Barlowe LLP
✨Know Your AI Security Stuff
Make sure you brush up on your knowledge of AI security, especially around model integrity and adversarial threats. Be ready to discuss specific examples from your past experience where you've tackled these issues head-on.
✨Showcase Your Leadership Skills
As a Principal AI Security Engineer, you'll need to demonstrate your ability to lead and influence cross-functional teams. Prepare to share instances where you've successfully driven technical direction or mentored others in the field.
✨Understand Their Challenges
Familiarise yourself with the specific challenges that G-Research faces in securing AI systems. Think about how you can contribute to their approach to risk management and governance, and be ready to suggest actionable strategies during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI security initiatives or how they envision the future of AI governance within the organisation. This will demonstrate your engagement and strategic thinking.
