Senior ML/Ops Platform Engineer – Cloud & CI/CD

Medtronic plc; Galway; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Medtronic plc is seeking a Senior Platform Engineer – ML/Ops in Galway to advance our ML lifecycle and platform capabilities. You will design and operate cloud-native systems, build reusable services, and drive automation across CI/CD and IaC, partnering with engineering, data science, and security teams.

You will lead initiatives to improve reliability, observability, and scalability while supporting end-to-end ML lifecycle activities from training to deployment and monitoring.

Qualifications

• Experience designing, deploying, and operating cloud-native systems.
• Strong Python development skills for production use.
• Experience with ML lifecycle: training, deployment, monitoring.
• Familiarity with IaC and CI/CD pipelines.

Responsibilities

• Contributes to design, implementation, and operation of shared platform and MLOps capabilities.
• Independently design and implement cloud, distributed, ML, data, or software solutions.
• Design, build, and improve reusable services, APIs, templates, CI/CD pipelines, IaC, and self-service capabilities.
• Enhance reliability, security, observability, performance, and cost efficiency.
• Support end-to-end ML lifecycle: development, training, validation, deployment, monitoring, versioning.
• Lead projects, coordinate dependencies, and review work products.
• Collaborate with engineers, data scientists, architects, security, and infra teams.
• Contribute to platform roadmaps, standards, and adoption plans; provide technical guidance.

Skills

Python

Cloud-native systems

Distributed systems

CI/CD pipelines

IaC

Docker

Kubernetes

Observability

ML Ops

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Helm

Prometheus

Job description

Medtronic plc is seeking a Senior Platform Engineer – ML/Ops in Galway to advance our ML lifecycle and platform capabilities. You will design and operate cloud-native systems, build reusable services, and drive automation across CI/CD and IaC, partnering with engineering, data science, and security teams.

You will lead initiatives to improve reliability, observability, and scalability while supporting end-to-end ML lifecycle activities from training to deployment and monitoring.