AI-Powered Digital Transformation Project Lead

Eworker

Broughton

On-site

GBP 70,000 - 115,000

Full time

14 days+

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Job summary

Airbus Operations Limited in the United Kingdom is seeking a Digital and Artificial Intelligence Project Leader to drive the Broughton Digitalisation Transformation. You will lead AI initiatives across production lines, aligning with central digital strategy and delivering measurable productivity gains.

The role requires expertise in GCP Vertex AI, ML model deployment, and strong data analytics, with a focus on governance and risk management within a manufacturing context.

Qualifications

  • Proven track record in project management and delivery.
  • Experience managing projects on Google Cloud Platform (GCP) and deploying production-grade AI/ML models.
  • Strong understanding of MLOps principles, including automation, CI/CD, and cloud cost optimization.
  • Strong proficiency in Python, SQL, and data visualization to map data pipelines and communicate insights to non-technical stakeholders.

Responsibilities

  • AI Project Leadership & End-to-End Delivery from ideation to deployment across core plant areas.
  • Technical Stewardship & Data Innovation: design and deploy AI/ML models on GCP/Vertex AI and build AI-ready architectures.
  • Stakeholder Management & Digital Change: collaborate with plant customers, executives, and suppliers and support legacy system transitions.
  • Governance, Risk & Financial Management: ensure Responsible AI, EU AI Act compliance, cyber security, and manage CAPEX/OPEX/NRC.

Skills

Project leadership
GCP Vertex AI
Python
SQL
Data visualization
MLOps
CI/CD
Stakeholder management
Cloud cost optimization

Tools

Vertex AI
Cloud Storage
Compute Engine
API management

Job description

Airbus Operations Limited in the United Kingdom is seeking a Digital and Artificial Intelligence Project Leader to drive the Broughton Digitalisation Transformation. You will lead AI initiatives across production lines, aligning with central digital strategy and delivering measurable productivity gains.

The role requires expertise in GCP Vertex AI, ML model deployment, and strong data analytics, with a focus on governance and risk management within a manufacturing context.

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