Senior AI-Driven Security Engineer

Tesco UK

Digswell

Hybrid

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

Tesco UK Innovation Engineering is seeking a Senior Security Engineer to pioneer AI-driven security capabilities for a large retail ecosystem. You will design, build, test, and operationalise production-grade security solutions, leading engineering direction and setting standards with a customer-first focus.

You will collaborate with Cyber Defence teams to build scalable, secure systems that leverage automation, AI, and robust testing practices while maintaining explainability and safety in

Qualifications

  • Demonstrable expertise in applying AI for cyber defence with measurable outcomes.
  • Ability to design, review, and refine AI-enabled security systems.
  • Understanding of secure engineering and SDLC with security considerations.

Responsibilities

  • Architect and deliver innovative security capabilities from concept to production.
  • Embed AI augmented security engineering with safety and explainability.
  • Lead modern engineering practices for cyber defence with automation and scale.
  • Champion secure, test-driven engineering with automated testing and version control.
  • Share knowledge and inspire adoption across teams to scale innovations.
  • Validate effectiveness and resilience with evaluation strategies and testing.

Skills

Applied AI
AI architecture
Security architecture
Production-grade tooling
Secure engineering
Test-driven development
Solution evaluation
Data analytics
Strategic thinking
Communication
Leadership
Change management
Curiosity
Inclusion

Job description

Tesco UK Innovation Engineering is seeking a Senior Security Engineer to pioneer AI-driven security capabilities for a large retail ecosystem. You will design, build, test, and operationalise production-grade security solutions, leading engineering direction and setting standards with a customer-first focus.

You will collaborate with Cyber Defence teams to build scalable, secure systems that leverage automation, AI, and robust testing practices while maintaining explainability and safety in

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