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AI DevSecOps Consultant

Job in South Yorkshire, York, North Yorkshire, YO1, England, UK
Listing for: Talent Smart
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

AI Dev Sec Ops  Consultant

Remote, Inside IR35

We're partnering with a leading financial services client to appoint an AI Dev Sec Ops  Consultant to drive secure engineering practices across large-scale, cloud-based platforms.

A key focus will be practical AI experience within Dev Sec Ops , including embedding security controls into modern AI‑assisted developer workflows. We're particularly interested in candidates who have worked with Claude Code or similar AI coding tools and understand how to securely integrate AI-generated code into enterprise development pipelines.

Key Requirements
  • Proven background in hands‑on Dev Sec Ops  Engineering, with experience operating in a design/architecture-focused role
  • Strong practical experience applying AI within Dev Sec Ops  and software engineering workflows
  • Experience securing AI-assisted development workflows, including Claude Code or similar tools
  • Experience integrating SAST and other security controls into workflows containing AI-generated code
  • Strong experience with secrets scanning and preventing sensitive information from entering source code or pipelines
  • Strong experience designing and implementing secure CI/CD pipelines
  • Strong Python development experience, with the ability to build automation and orchestration solutions
  • Strong experience with orchestration and workflow automation across engineering, cloud and security platforms
  • Strong experience across both AWS and GCP (essential)
  • Deep understanding of CI/CD pipelines, build tools, artifact repositories and developer platforms
  • Expertise in secure software delivery, vulnerability management and platform security
  • Experience with threat modelling, security frameworks and maturity assessments
  • Strong knowledge of application security, network security and cloud security principles

More details available on successful application

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