Principal Platform Engineer — ML Ops

Medtronic; Galway; On-site; EUR 84,000 - 125,000; Full time

Job summary

Medtronic is seeking a Principal Platform Engineer – ML/Ops to shape the software ecosystem for implantable cardiac devices. You will lead cloud-native solutions, build reusable platform services, and drive scalable, secure architectures across global teams.

Required are strong Python skills, MLOps expertise, and experience with cloud platforms and Kubernetes. The role emphasizes technical leadership and cross‑functional collaboration within PCS.

Qualifications

• Bachelor’s degree in a technical field and 7+ years of relevant experience or master’s degree with 5+ years.
• Strong knowledge of MLOps, cloud platforms, and distributed systems.
• Experience with ML model lifecycle, training, deployment, and monitoring.
• Experience developing Python production systems and cloud-native software.

Responsibilities

• Define and lead design and operation of shared platform and MLOps capabilities.
• Lead major projects, manage dependencies, and drive delivery outcomes.
• Investigate complex technical problems and implement effective solutions.
• Develop scalable platform services, APIs, CI/CD, and self-service workflows.

Skills

MLOps

Cloud platform engineering

Distributed systems

Python

Kubernetes

Docker

CI/CD

Communication

Problem solving

Leadership

Education

Bachelor's degree (Level 8) in Computer Science or related technical discipline

Advanced degree with 5+ years experience

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Helm

Apache Kafka

Dynatrace/ELK/Prometheus/Grafana

Job description

Medtronic is seeking a Principal Platform Engineer – ML/Ops to shape the software ecosystem for implantable cardiac devices. You will lead cloud-native solutions, build reusable platform services, and drive scalable, secure architectures across global teams.

Required are strong Python skills, MLOps expertise, and experience with cloud platforms and Kubernetes. The role emphasizes technical leadership and cross‑functional collaboration within PCS.