Join a pioneering team building the security layer for AI agents operating in critical environments like banks and hospitals. As a Founding ML Scientist, you'll define next-gen AI security, architect infrastructure for autonomous systems, and shape product vision. This is a chance to make a significant impact at the frontier of AI deployment, ensuring safe and reliable operation.
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Founding ML Scientist at VC-backed AI security platform
Are you ready to define the future of AI security? A pioneering startup is seeking a Founding ML Scientist to build the critical security layer for autonomous AI agents deployed in high-stakes environments. This is a unique opportunity to shape infrastructure for a new era of AI, working with full autonomy to solve complex challenges and make a profound impact on how intelligent systems operate safely and reliably.
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Location
London, United Kingdom
Compensation
£80k-£120k + Equity
Company
Confidential company
Role overview
About the company
VC-backed AI security platform
What you will do
- Build adaptive AI security solutions that learn and evolve with the agents they protect.
- Establish the control layer for AI systems making real-time decisions in high-stakes environments.
- Drive product vision and technical strategy as a core founding team member.
Who this is a fit for
- Experience training LLMs with modern methods like RL with GRPO or fine-tuning with QLoRA.
- Proficient in setting up multi-GPU training and inference infrastructure in cloud environments (GCP/AWS).
- Possesses a founding engineer mindset, comfortable with ambiguity and prioritizing shipping and iteration.
Why this role is remarkable
- Define and build the next generation of AI security that learns and adapts to protect autonomous agents.
- Work with a founding team of experts from intelligence, fintech, and infrastructure software.
- Enjoy full autonomy over architecture, tooling, and technical standards, shaping the company's engineering culture.
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If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.
