Principal ML Platform Architect & MLOps Leader

Arm; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Arm seeks a Principal Machine Learning Engineer to lead a large-scale AI platform, shaping architecture, deployment, and operation of conventional ML systems and agentic AI solutions. This hands-on leadership role combines coding with strategic direction across an expanding engineering function.

You will own the platform roadmap, set engineering best practices, and ensure AI systems are secure, scalable, observable, and production-ready.

Qualifications

• 8+ years' experience in Machine Learning Engineering, Platform Engineering, MLOps, or AI Infrastructure.
• Strong Python expertise and a track record of shipping production ML systems.
• Deep Azure experience (AWS also considered).
• Hands-on experience with agentic AI, multi-agent systems, MCP, A2A, or similar orchestration frameworks.
• Experience working within enterprise environments where integration with existing systems is critical.

Responsibilities

• Define and lead the architecture for ML and agentic AI platforms.
• Design and own MLOps and LLMOps practices across production environments.
• Build standards for CI/CD, Infrastructure as Code, deployment automation, and platform reliability.
• Lead the implementation of agent-to-agent communication and orchestration frameworks.
• Drive Azure-based AI infrastructure decisions and platform evolution.
• Integrate modern AI capabilities with complex enterprise and legacy systems.
• Mentor engineers and act as the senior escalation point for platform and production issues.

Skills

Python

Azure

MLOps

LLMOps

Observability

CI/CD

IaC

Multi-agent

Agentic AI

Production ML

Architecture

Tools

Terraform

Docker

Kubernetes

Job description

Arm seeks a Principal Machine Learning Engineer to lead a large-scale AI platform, shaping architecture, deployment, and operation of conventional ML systems and agentic AI solutions. This hands-on leadership role combines coding with strategic direction across an expanding engineering function.

You will own the platform roadmap, set engineering best practices, and ensure AI systems are secure, scalable, observable, and production-ready.