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. Skills: machine learning AI Cyber