Machine Learning Ops Engineer

DXC Technology UK

Erskine, United Kingdom
Python skills
Ml libraries (pandas, numpy, scikit-learn)
Ml lifecycle tools (mlflow, kubeflow)
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
  • ML libraries (Pandas, NumPy, scikit-learn)
  • ML lifecycle tools (MLflow, Kubeflow)
  • CI/CD principles in ML
  • Version control (Git)
  • Distributed data processing (PySpark)

Nice-to-have

  • Cloud-native ML platforms
  • Collaboration and knowledge-sharing
  • Continuous learning and development
  • Problem-solving and curiosity

Key Requirements

  • Eligible for clearance

Work Rights

Eligible for clearance

Tailored Resume

Cover Letter