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

[Up to c. $700k Comp Package | Hybrid Working]Role OverviewWe’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 ResponsibilitiesImprove security across Linux-based enterprise systems, internal infrastructure, and research-facing platformsIdentify, prioritise, and remediate vulnerabilities across complex technical environmentsStrengthen endpoint detection, monitoring, and response capabilities across non-Windows systemsSupport access management and identity-related security controls across internal platformsBuild automation and tooling to reduce manual security work and improve repeatabilityPartner with engineering and infrastructure teams to integrate security into systems and workflowsEvaluate security risks linked to agentic AI workflows, automated tooling, and emerging AI-driven processesHelp define practical controls for AI-adjacent systems, including safe execution patterns, access boundaries, and monitoring approachesContribute to threat detection, incident investigation, and remediation efforts where requiredAssess security tooling and recommend improvements that strengthen visibility, response, and control effectivenessSupport the development of security standards and operating practices suited to a fast-moving research environmentWhat You’ll Bring…4-10 years’ experience in information security engineering, enterprise security, infrastructure security, or similar technical security rolesStrong Linux security background, including practical experience securing and troubleshooting Linux-based environmentsBroad information security knowledge across vulnerability management, access management, endpoint security, detection, and responseExperience with security tooling such as EDR, SIEM, vulnerability scanners, logging platforms, or related defensive technologiesAbility to work across multiple areas of security rather than operating in a narrow, highly siloed functionExperience in high-performance computing, scientific research, or other Linux-heavy technical environmentsPractical understanding of modern attack paths and how to reduce exposure across enterprise systemsPython experience for automation, tooling, or process improvement is highly valuableInterest in securing agentic AI workflows, automated systems, or AI-enabled toolingStrong 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...