Data / Machine Learning Ops Engineer

DXC Technology Australia & New Zealand

Erskine, United Kingdom
Python skills with ml libraries
Tensorflow, keras, or pytorch experience
Gradient boosting tools experience
Deploying, monitoring, and scaling machine learning models in production

Job Summary

  • Deploying, monitoring, and scaling machine learning models in production.
  • Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
  • Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.

Matching Summary

Deploying, monitoring, and scaling machine learning models in production.

Skills & Requirements

Must-have

  • Python skills with ML libraries
  • TensorFlow, Keras, or PyTorch experience
  • Gradient boosting tools experience
  • Model deployment tools experience
  • ML lifecycle tools familiarity
  • Distributed data processing experience
  • Software engineering best practices
  • CI/CD principles in ML environments

Nice-to-have

  • Cloud-native ML platforms advantageous
  • Collaborating with data scientists
  • Knowledge-sharing culture

Key Requirements

  • Eligible for clearance

Work Rights

Eligible for clearance

Tailored Resume

Cover Letter