Senior AI Security Engineer
London Hybrid
The client:
This company uses AI to change how new medicines are discovered. Their platform runs on autonomous AI agents, right at the edge of what's currently possible, and they need security to keep pace with that speed.
Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast.
Its still a scaling environment. Theres ambiguity, and youll be expected to take ownership and shape how security is designed and implemented across the business.
The role:
As Senior AI Security Engineer, you'll take ownership of security across the AI platform and its agentic systems.
Map out the threats specific to AI and ML, and build that into a proper risk framework
Decide how model weights, training data, and code get tracked and locked down
Build guardrails and sandboxing for LLMs and autonomous agents, with real-time monitoring behind it
Work closely with ML researchers and engineers, embedding security across the whole ML lifecycle
Lead the response when something goes wrong, using ML techniques to catch what standard tools miss
Help turn emerging AI regulation into something the business can actually keep up with
Partner with Legal and Compliance to shape what responsible AI security looks like in practice
About you (skills/experience):
You will bring
A genuine understanding of deep learning (JAX, PyTorch, or TensorFlow), and you've worked with large-scale cloud training or inference infrastructure
Think like an attacker on AI systems: prompt injection, model inversion, and data poisoning are all familiar, and you know the OWASP Top 10 for LLMs and MITRE ATLAS
Proven experience in securing agentic systems before, and understand identity and access controls between agents
Comfortable in cloud security, GCP ideally, with solid container and multi-cloud experience
Can write production-grade code, Python preferred, so you build your own tooling
Communicate well, sit comfortably with ambiguity, and can turn ML risk into something engineers can act on
Nice to have:
Red-teaming LLMs, agent networks, or ML backends
Background in BioTech, Pharma, or Deep Tech
Degree in Computer Science, Machine Learning, Cybersecurity, or similar
OSCP or a cloud security certification
What they can offer:
Market-leading compensation (bonus + equity)
Hybrid working (3 days in a central London office)
If owning the security for the world's leading AI drug discovery company sounds of interest, apply now or drop me a message if you want to talk it through.
Keywords: AI Safety, AI Security, LLM Security, Agentic Security, Prompt Injection, Adversarial ML, MITRE ATLAS, GCP, Cloud Security, Python, Model Risk, Machine Learning, Cybersecurity
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Senior Security Engineer in London employer: All The Top Bananas
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