Principal Machine Learning Engineer - Partnering with a Leader in AI-Driven Cybersecurity
Location: Hybrid (Flexible)
Compensation: Market-leading base + Bonus + Benefits
Chris Ryan is proud to be partnering with a top-tier cybersecurity scale-up that's redefining the future of security operations through cutting-edge AI and Machine Learning. This is a unique opportunity to join as a Principal ML Engineer, playing a strategic role in shaping and deploying AI solutions at scale in a mission-critical domain.
About the Role
As a Principal ML Engineer, you'll be at the heart of innovation-architecting and scaling intelligent systems that drive threat detection, incident response, and real-time insights for enterprise users worldwide. This role blends deep technical leadership with real-world impact.
Key Responsibilities
- Develop and deploy scalable ML solutions that directly enhance cybersecurity outcomes.
- Leverage tools such as Amazon SageMaker, Amazon Bedrock, and other AWS services to build secure generative AI applications.
- Design and optimize alert triage systems using NLP, Bayesian modeling, and LLMs to reduce false positives and improve insight generation.
- Collaborate cross-functionally with AI, SecOps, and engineering teams to train, refine, and monitor models in live environments.
- Ensure security, compliance, and reliability of AI solutions in cloud-based infrastructure.
- Shape enterprise AI strategy by guiding customers on secure development, deployment, and monitoring of GenAI tools.
What We're Looking For
- Proven experience designing and deploying machine learning systems in cloud environments (AWS preferred).
- Hands-on expertise with generative AI, LLMs, NLP, and model lifecycle management.
- Strong background in cybersecurity use cases or adjacent domains is a plus.
- Ability to drive strategy and mentor technical teams while staying hands-on where needed.
- Excellent communication skills and a collaborative mindset.
What's On Offer
- A high-impact leadership role in a company solving critical, real-world problems.
- Hybrid working flexibility and a collaborative, fast-paced environment.
- A competitive compensation package, including bonus, pension, and best-in-class benefits.
- The opportunity to work with state-of-the-art AI tooling and real-world datasets at scale.
Interested?
Apply via the link or contact Chris Ryan directly on LinkedIn or WhatsApp for a confidential discussion. With over 20 years of global experience in tech recruitment, Chris is well-placed to advise you on this opportunity and how it aligns with your long-term goals.