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NatWest Group

AI Engineering Lead

NatWest Group

AI Engineering Lead leading design, build, and deployment of production-grade AI solutions. Ensuring AI and ML systems operate reliably and safely within governed environments.

Posted 7/17/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and deploying production-grade AI and ML solutions, with a strong focus on MLOps practices and model lifecycle management. Proven ability to lead teams and manage stakeholders while ensuring compliance in regulated environments.

Highest-signal resume keywords
AI And ML Model DevelopmentMLOps PracticesModel Lifecycle ManagementCI/CD Pipeline OrchestrationLeadership And Stakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningArtificial IntelligenceModel Performance MonitoringModel ValidationAutomation Of Decision-MakingML Engineering StandardsProduction-Grade SolutionsDeployment CapabilitiesGovernance And ComplianceEnd-To-End Lifecycle Management
Soft Skills
LeadershipStakeholder Management
Industry Keywords
Regulated EnvironmentsGovernanceCompliance Requirements

About the role

Key responsibilities & impact
  • Lead the design, build, and deployment of ML models and AI systems
  • Own the end-to-end lifecycle of AI and ML models
  • Establish and evolve ML engineering standards and best practices
  • Oversee model performance in production, including accuracy and stability
  • Embed controls, monitoring, and validation within AI and ML solutions
  • Enable automation of decision-making through AI

Requirements

What you’ll need
  • Extensive experience designing, building, and deploying production-grade AI and ML solutions
  • Strong understanding of ML engineering, MLOps, and model lifecycle management
  • Proven track record of developing AI platforms and deployment capabilities
  • Strong knowledge of MLOps practices, including CI/CD and pipeline orchestration
  • Experience working in regulated environments and understanding of governance and compliance requirements
  • Proven leadership and stakeholder management skills

Benefits

Comp & perks
  • Hybrid working opportunities