Cyber Security Engineer I

Visa Hunt; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Checkout.com is hiring a Cyber Security Engineer I to design and implement security controls for AI and ML systems, ensuring safe deployment of AI at scale. You will partner with Engineering, Data Governance, GRC, and business teams to embed security into AI tools, models, data pipelines and supporting infrastructure.

The role focuses on identifying AI security risks, building guardrails, and developing reference architectures while advancing cloud security, data protection, and incident

Qualifications

• Experience in cyber security engineering, security architecture, or a related security role.
• Strong understanding of IAM, 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 AI security risks.
• Experience securing cloud environments and modern development workflows on AWS, Azure, or GCP.
• Familiarity with AI security risks: prompt injection, data exfiltration, insecure model access, supply chain risks, model poisoning, sensitive data exposure.
• Experience conducting architecture reviews, threat modelling, and security assessments for complex solutions.
• Ability to translate technical risk into practical guidance for engineering and non‑technical stakeholders.
• Strong collaboration skills across security, engineering, data, legal, and business teams.
• Proactive mindset in a fast‑moving area with evolving standards.

Responsibilities

• Design and implement security controls for AI and ML solutions, including LLM applications, model integrations, and cloud infrastructure.
• Assess security, privacy, and compliance risks of AI systems and manage data leakage and misuse risks.
• Develop standards, guardrails, and reference architectures for secure AI use across Checkout.
• Review AI use cases and deployments for alignment with security policies, regulations, and governance.
• Build and maintain monitoring, detection, and response capabilities for AI‑related threats and misuse.
• Identify opportunities to use AI to enhance cyber security operations, such as alert triage and automation.
• Stay current on evolving AI security risks and governance (EU AI Act, ISO42001).

Skills

Cyber security

Security architecture

Identity access

Cloud security

Application security

Data protection

Logging monitoring

Incident response

AI/ML basics

LLM concepts

Cloud platforms

Job description

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

The role

This role will be responsible for supporting design & implementation of AI-enabled capabilities across Checkout, while ensuring AI technologies are deployed in a safe, governed, and resilient manner. The successful candidate will work closely with Engineering, Data Governance, GRC, and business teams to embed security into AI systems, assess AI-related risks, and help the organisation adopt AI securely at scale.

As a Cyber Security Engineer I, you will act as the bridge between cyber security and emerging AI technologies. You will help shape how Checkout secures AI tools, models, data pipelines, and supporting infrastructure, while also identifying opportunities to use AI to strengthen cyber defence capabilities.

This is a hands‑on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management.

What you’ll be responsible for

• 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 (inline with EU AI Act, ISO42001)

What we’re looking for

• 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.

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram.

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