Machine Learning Engineer

ABB UK

Hybrid
Backend development with python or java/go
Docker and kubernetes (aks) experience
Azure ml pipelines and deployment
ABB UK is seeking a Machine Learning Engineer to enhance and maintain production-grade ML platforms. The ideal candidate will have a strong background in backend development, particularly in Python, and experience with Docker, Kubernetes, and Azure ML

Job Summary

  • At ABB, we help industries run leaner and cleaner—and every person here makes that happen.
  • You will own the stability, scalability, and performance of production-grade ML platforms by designing and enhancing backend services, orchestration layers, and system integrations that power critical ML workflows.
  • Serve as the primary technical contact, working with data scientists, ML engineers, business analysts, platform teams, and external vendors to convert business and ML workflow needs into scalable backend architectures.

Matching Summary

Match Score: 85

ABB UK is seeking a Machine Learning Engineer to enhance and maintain production-grade ML platforms. The ideal candidate will have a strong background in backend development, particularly in Python, and experience with Docker, Kubernetes, and Azure ML.

Skills & Requirements

Must-have

  • Backend development with Python or Java/Go
  • Docker and Kubernetes (AKS) experience
  • Azure ML pipelines and deployment
  • Distributed systems and microservices design
  • CI/CD and DevOps workflows
  • Root-cause analysis of production issues

Nice-to-have

  • Coaching and mentoring engineers
  • Cross-functional team collaboration
  • Problem-solving and methodical approach
  • Hybrid work model

Key Requirements

  • 3–5 years backend or platform engineering experience
  • Experience with AML and Airflow operational responsibilities
  • Ability to resolve complex production issues
  • Experience creating APIs and services
  • Not specified work authorization

Work Rights

Not specified

Tailored Resume

Cover Letter