Enterprise Security Engineer - Linux & AI Security | Scientific Computing Leader

[Up to c. $700k Comp Package | Hybrid Working]

Role Overview

We’re representing a world-leading computational research organisation operating at the intersection of high-performance computing, machine learning, and scientific discovery. As its internal security workload grows - including emerging concerns around agentic AI - the team is making several hires to expand its enterprise security engineering capability. This is not a niche “AI security only” role. The core requirement is a strong, well-rounded information security engineer with depth across Linux security, vulnerability management, access controls, endpoint detection, and security automation. Exposure to agentic AI systems is useful, but not essential; the expectation is that the right engineer can grow into this area while contributing immediately across broader enterprise security work.

This role suits someone with broad infosec judgement, strong technical curiosity, and the ability to build practical security improvements rather than operate in a narrow silo...

Key Responsibilities

• Improve security across Linux-based enterprise systems, internal infrastructure, and research-facing platforms • Identify, prioritise, and remediate vulnerabilities across complex technical environments • Strengthen endpoint detection, monitoring, and response capabilities across non-Windows systems • Support access management and identity-related security controls across internal platforms • Build automation and tooling to reduce manual security work and improve repeatability • Partner with engineering and infrastructure teams to integrate security into systems and workflows • Evaluate security risks linked to agentic AI workflows, automated tooling, and emerging AI-driven processes • Help define practical controls for AI-adjacent systems, including safe execution patterns, access boundaries, and monitoring approaches • Contribute to threat detection, incident investigation, and remediation efforts where required • Assess security tooling and recommend improvements that strengthen visibility, response, and control effectiveness • Support the development of security standards and operating practices suited to a fast-moving research environment

What You’ll Bring…

• 4-10 years’ experience in information security engineering, enterprise security, infrastructure security, or similar technical security roles • Strong Linux security background, including practical experience securing and troubleshooting Linux-based environments • Broad information security knowledge across vulnerability management, access management, endpoint security, detection, and response • Experience with security tooling such as EDR, SIEM, vulnerability scanners, logging platforms, or related defensive technologies • Ability to work across multiple areas of security rather than operating in a narrow, highly siloed function • Experience in high-performance computing, scientific research, or other Linux-heavy technical environments • Practical understanding of modern attack paths and how to reduce exposure across enterprise systems • Python experience for automation, tooling, or process improvement is highly valuable • Interest in securing agentic AI workflows, automated systems, or AI-enabled tooling • Strong communication skills, with the ability to work effectively with researchers, engineers, and infrastructure teams • (Preferred) Exposure to agentic AI, AI/ML platforms, autonomous workflows, or related security concerns • (Preferred) Experience building internal security automation or lightweight security tooling

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