Cyber Security Engineer - London

Salary: £45,000 - 83,000 per year

Requirements:

• Experience in cyber security engineering, security architecture, or a related security role.
• Strong understanding of core security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response.
• Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks.
• Experience securing cloud environments and modern development workflows in platforms such as AWS, Azure, or GCP.
• Familiarity with security risks relevant to AI systems, including prompt injection, data exfiltration, insecure model access, supply chain risks, model poisoning, and sensitive data exposure.
• Experience conducting architecture reviews, threat modelling, and security assessments for complex technical solutions.
• Ability to translate technical risk into clear, practical guidance for both engineering and non-technical stakeholders.
• Strong collaboration skills and the ability to work across cyber security, engineering, data, legal, and business teams.
• A proactive mindset, with the ability to operate in a fast-moving area where standards and best practices continue to evolve.

Responsibilities:

• Design and implement security controls for AI and machine learning solutions, including LLM-based applications, model integrations, and supporting cloud infrastructure.
• Assess the security, privacy, and compliance risks associated with AI systems, including model misuse, prompt injection, data leakage, insecure plugins, over-permissioned access, and third-party AI services.
• Develop standards, guardrails, and reference architectures for the secure use of AI across the organisation.
• Review AI use cases, architectures, and deployments to ensure alignment with cyber security policies, regulatory requirements, and internal governance expectations.
• Build and maintain monitoring, detection, and response capabilities for AI-related threats and misuse scenarios.
• Identify opportunities to use AI to enhance cyber security operations, such as alert triage, threat analysis, playbook automation, knowledge retrieval, and workflow optimisation.
• Stay current on evolving risks, attack techniques, regulations, and industry practices related to AI security and AI governance.

Technologies:

• AI
• AWS
• Azure
• Cloud
• GCP
• LLM
• Machine Learning
• Security
• Support

More:

Were Checkout.com, a global fintech company behind many digital experiences used every day by companies like eBay, Spotify, Klarna, Uber, and Sony. We enable over 10 billion transactions yearly for more than one billion global shoppers and help ambitious businesses deliver effortless digital experiences at scale. With 20 offices across six continents and our HQ in London, we move fast, think globally, and value exceptional people who want to make an impact. This Cyber Security Engineer I role sits at the intersection of cyber security and AI, supporting the design and implementation of AI-enabled capabilities while ensuring they are deployed in a safe, governed, and resilient manner. We offer a hybrid working model with three days per week in the office, a collaborative team environment, and a focus on growth, ownership, and meaningful work from day one.

last updated 37 week of 2026