Top Cyber Security Jobs in London

Build and maintain production-quality Python software for AI cybersecurity and autonomy evaluations. Responsibilities include developing cyber-range infrastructure, analysis tooling, sandbox services, image pipelines, and evaluation workflows; leading testing exercises; analysing model behavior; and communicating research findings. The role involves owning technically challenging projects, improving engineering standards, and supporting assessments that inform AI safety standards and government policy.

Design and build cyber ranges, CTF challenges, agentic evaluation scaffolding, and infrastructure for testing frontier AI cybersecurity capabilities. Develop metrics, interpret evaluation results, conduct pre-deployment testing, and research novel model behaviors. Collaborate with engineers, researchers, government partners, and AI labs, while communicating findings through reports, papers, and blog posts.

Conduct attacker-driven security research on Aave protocol changes, smart contracts, integrations, and critical dependencies. Review architecture and code before audits or deployment, identify exploitable protocol risks, contribute to AI-assisted security tooling, and translate findings into invariants, testing, monitoring, and incident-response improvements. Collaborate with engineers, auditors, and monitoring teams while communicating risk, severity, uncertainty, and trade-offs clearly.

Provides Level-1 triage and first-line support for network and security infrastructure. Responsibilities include handling service tickets, troubleshooting incidents, escalating issues according to SLAs, communicating with customers and internet service providers, supporting change requests, documenting technical procedures, and working flexible shifts. The role involves exposure to routing, switching, SD-WAN, firewalls, monitoring, DNS, DHCP, and ITSM platforms.

Build and own Agent Warden’s backend services, data pipelines, APIs, frontend dashboards, CLIs, and deployment infrastructure. Develop with Python, FastAPI, NestJS, React, and TypeScript; manage PostgreSQL, Redis, CI/CD, Kubernetes, Helm, AWS, packaging, and releases. Lead testing, performance improvements, production debugging, and collaboration with Applied Research to productionize AI security capabilities using AI-assisted development workflows.

Design and validate threat models for agentic AI systems, create adversarial experiments and synthetic environments, develop static and dynamic risk analysis, fine-tune and evaluate models, and build production-ready guardrails, monitoring, dashboards, and evaluation infrastructure. Optimize security systems for latency, cost, reliability, and measurable real-world performance while translating research into product capabilities.

Execute and maintain ISO 27001 and SOC 2 compliance programs, operate Vanta, collect audit evidence, support audits, assess risks and vendors, manage security obligations, maintain regulatory documentation, and translate controls into engineering work. The role also supports customer security reviews, physical security, incident compliance, awareness training, business continuity, and disaster recovery evidence.

Build and maintain data pipelines and integrations to enable continuous control monitoring for security and compliance. Translate control requirements into measurable KPIs and dashboards, partner with control owners, and deliver data-driven insights to reduce risk and improve compliance processes.

Manage and grow cybersecurity channel partnerships, primarily in Germany, by recruiting partners, driving pipeline and revenue, coordinating joint sales and marketing initiatives, and managing partner performance. Build relationships with resellers, distributors, systems integrators, and technology vendors; support partner planning, compliance, opportunity registration, and conflict resolution. The role requires native German and fluent English, security SaaS channel sales experience, Salesforce and PRM knowledge, and travel up to 50%.

Designs and operates secure, scalable AWS infrastructure and reusable Terraform modules. Owns CI/CD, GitOps, observability, reliability, automation, and cost optimization. Builds production platforms for AI agents and LLM-backed services, including identity, access controls, secrets, evaluation, regression testing, and operational safeguards. Mentors engineers, communicates technical trade-offs, and supports broader platform and developer-experience strategy.

Research and develop methods for detecting misalignment and loss-of-control risks in frontier AI systems. Build alignment evaluations, conduct pre-deployment testing, analyze model behavior, investigate incidents, and communicate findings to AI companies and governments. The role also involves designing evaluation software and tooling, publishing technical research, threat modeling, and mentoring collaborators. Candidates need substantial AI safety or alignment research experience, strong Python and machine learning engineering skills, and experience with frameworks such as PyTorch or Inspect.

Conduct third-party and supplier security assurance, security control testing, PCI DSS assessments, regulatory reviews, and audits. Evaluate security evidence, identify risks and control gaps, improve policies and governance, support security inquiries, and advise engineering and product teams on secure changes. The role also drives remediation, process automation, risk prioritization, and continuous improvement while mentoring less experienced analysts.

Lead and grow the Human Influence engineering function, managing research and software engineers while delivering an engineering roadmap. Design scalable evaluation and benchmarking systems, automated human-AI experiment pipelines, multi-agent study toolkits, data pipelines, reinforcement learning environments, and large-language-model fine-tuning projects. Translate research questions into reproducible production engineering tasks, collaborate with technical and nontechnical stakeholders, and lead projects from scoping through deployment or publication.

Research Engineer developing AI safety methods focused on human influence. Responsibilities include fine-tuning and post-training LLMs with reinforcement learning, building scalable evaluation and benchmarking pipelines, designing RL environments, applying interpretability techniques, deploying containerized ML systems, and conducting engineering-heavy research on large compute clusters.

Manage government and real estate projects by conducting research, establishing project processes, producing plans, monitoring progress, documenting changes, preparing communications and reports, and coordinating with clients, contractors, designers, and other stakeholders. The role requires strong communication, problem-solving, strategic thinking, construction or real estate knowledge, CDM and site health and safety awareness, travel across London and the South East, and the ability to obtain security clearance.

Lead application security for the platform by embedding automated controls into the SDLC, conducting security architecture and code reviews, driving threat modeling, triaging vulnerabilities, coordinating remediations, partnering with engineering/product teams, and scaling tooling and AI-assisted workflows to raise security across cloud-native and containerized environments.

Design, build, and operate scalable security capabilities embedded into engineering workflows and CI/CD. Improve software supply chain security (SBOM), analyze vulnerabilities, enable runtime/cloud security, support incident response, drive secure development practices, and govern AI-assisted engineering tools across platform teams.

Lead SecOps and vulnerability management architecture: design and scale SIEM, SBOM, VM platforms, SOAR playbooks, and detection logic; drive threat modeling, incident escalation, automation, AI-assisted validation, and regulatory/audit support across cloud and product teams.

Lead design and execution of blockchain security operations: monitor on-chain/off-chain data, detect and respond to threats, collaborate cross-functionally, improve security posture, and implement detection for smart contracts and digital assets.

Drive growth of HPE's security portfolio by building long-term pipelines, winning complex enterprise deals, supporting account teams, engaging C‑suite stakeholders, and coordinating partners. Sell hardware, software, and services; manage deal orchestration, forecasting, CRM discipline, and customer references to achieve high-value quotas and renewals.

Lead end-to-end incident response for high-severity security events across cloud environments, perform DFIR investigations, build detection and automation (including AI-assisted) workflows, partner cross-functionally, produce executive communications and RCAs, maintain runbooks/playbooks, and mentor other engineers within a 24/7 global on-call model.

Own Apollo Research’s security program as its first dedicated security hire. Responsibilities include setting security strategy, managing cloud, endpoint, identity, and email security, automating security operations, leading ISO 27001 and SOC 2 certification, administering Google Workspace, and serving as the primary security contact for AI lab partners. The role combines hands-on engineering, governance, stakeholder management, and security leadership while supporting the organization’s AI safety mission.

Lead security, licensing and safety across London sites, manage investigations, CCTV/alarm contracts, liaise with police and authorities, advise on manned guarding and event security, deliver training, and prepare counter-terror risk assessments to maintain member and staff safety.

Manage the EMEA Security Operations Center within a global 24/7 operation. Responsibilities include defining processes, workflows, and playbooks; maintaining shift coverage and quality assurance; coaching analysts; developing training; partnering with Product, Support, and security teams; improving incident response capabilities; tracking objectives and key results; operationalizing new services; and representing the company in public speaking engagements.

Owns an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role involves shaping reliable financial systems across APIs, data flows, ledgering, reconciliation, security, scalability, and regulatory requirements. Responsibilities include applying AI with safeguards and evaluation, managing financial rails and third-party dependencies, and aligning engineering, design, compliance, operations, treasury, and finance. Candidates need strong technical product management experience in regulated financial or other high-consequence domains.