Senior AI Platform Leader - Strategy & ML Solutions

A&O Shearman

Ballynahinch

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

A&O Shearman in Belfast is seeking a Senior AI Engineer (Manager) to lead the AI platform team, defining strategy, design, and end-to-end delivery of advanced AI and ML use cases.

You will mentor a global IT team, coordinate with external providers, and drive scalable architecture while ensuring delivery aligns with business goals and best practices. Experience in cloud platforms, ML frameworks, and stakeholder engagement is essential.

Qualifications

  • Strong ML/AI model development background.
  • Experience leading large teams.
  • Proficiency in Python, R, or C#.
  • Experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Cloud experience with AWS, GCP, Azure.
  • Experience using AI coding assistants with proper engineering controls.
  • Excellent stakeholder engagement and communication skills.

Responsibilities

  • Define AI strategy and lead design and implementation of AI use cases.
  • Lead a team of IT professionals and coordinate with external providers.
  • Manage full lifecycle of AI solutions from development to deployment and integration.
  • Maintain strong relationships with business stakeholders to align AI with outcomes.
  • Provide mentorship and performance management for AI engineering teams.
  • Drive continuous improvement of technical strategy and architecture for AI.

Skills

Leadership
ML/AI development
Data analysis
Software development
Python
R
C#
TensorFlow
PyTorch
scikit-learn
AWS
Azure
GCP
GitHub Copilot
Claude Code
Codex

Tools

GitHub Copilot
Claude Code
Codex

Job description

A&O Shearman in Belfast is seeking a Senior AI Engineer (Manager) to lead the AI platform team, defining strategy, design, and end-to-end delivery of advanced AI and ML use cases.

You will mentor a global IT team, coordinate with external providers, and drive scalable architecture while ensuring delivery aligns with business goals and best practices. Experience in cloud platforms, ML frameworks, and stakeholder engagement is essential.

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