Senior ML Engineer: Productionize Models & Pipelines

SiriusXM; Dublin; On-site; EUR 110,000 - 165,000; Full time

Job summary

SiriusXM in Dublin is seeking a Senior Machine Learning Engineer to translate research into reliable, scalable production ML systems. You will collaborate with data scientists, data engineers, platform and services teams to productionize models and build robust feature pipelines.

You will own deployment, serving, monitoring, and lifecycle management of ML models, design CI/CD pipelines, ensure latency and throughput targets, and participate in tooling and best-practices adoption.

Qualifications

• 5+ years of ML engineering or MLOps experience.
• Strong programming in Python, Scala or Java.
• Experience with Databricks, MLFlow and cloud platforms.

Responsibilities

• Model productionization and deployment to production environments.
• Build and maintain feature serving pipelines for training/inference parity.
• Design CI/CD pipelines for ML artifacts and deployments.
• Ensure latency, throughput and reliability of production models.
• Collaborate across data science, engineering and product teams.

Skills

ML engineering

MLOps

Data engineering

Python

Scala

Java

Cloud platforms

CI/CD

Analytical skills

Communication skills

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

MLFlow

Docker

Kubernetes

Terraform

CDK

AWS/Azure

Job description

SiriusXM in Dublin is seeking a Senior Machine Learning Engineer to translate research into reliable, scalable production ML systems. You will collaborate with data scientists, data engineers, platform and services teams to productionize models and build robust feature pipelines.

You will own deployment, serving, monitoring, and lifecycle management of ML models, design CI/CD pipelines, ensure latency and throughput targets, and participate in tooling and best-practices adoption.