Mlops Engineer Analyst

Santander UK

Boadilla del Monte, Madrid, Spain
Competitive salary; performance-based bonuses; pre...
Hybrid
2+ years developing productive ai applications
Python programming for ai models
Kubernetes deployment and management
Santander is evolving into a technology-driven organization where MLOps Engineers will shape the future of AI applications

Job Summary

  • Santander is evolving into a technology-driven organization where MLOps Engineers will shape the future of AI applications.
  • The role requires implementing AI models using Python, managing deployments via Kubernetes, and building robust CI/CD pipelines.
  • Employees enjoy hybrid working models, competitive rewards, and access to global learning opportunities through Santander Open Academy.

Matching Summary

Santander is evolving into a technology-driven organization where MLOps Engineers will shape the future of AI applications.

Salary

Competitive salary; Performance-based bonuses; Preferential banking terms and wellness benefits

Skills & Requirements

Must-have

  • 2+ years developing productive AI applications
  • Python programming for AI models
  • Kubernetes deployment and management
  • ETL processes using Python and Spark
  • CI/CD pipeline implementation with Git
  • University degree in Engineering or CS

Nice-to-have

  • Experience with AWS or Azure cloud platforms
  • Infrastructure as Code using Terraform
  • MLFlow and Kubeflow orchestration tools
  • Databricks or Cloudera platform experience
  • Strong stakeholder collaboration skills
  • High energy and enthusiasm for innovation

Key Requirements

  • 2+ years actual experience in AI application development
  • University Degree in Engineering, Computer Science, Mathematics, or Physics
  • Professional English language proficiency

Work Rights

Not specified

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