Ml Platform Engineer

Barclays

Glasgow, United Kingdom
Onsite
Aws glue step functions eventbridge lambda s3 redshift
Cloudformation infrastructure automation deployment
Advanced python programming skills
Barclays is seeking a Machine Learning Platform Engineer in Glasgow, responsible for leading engineering teams and managing the design, development, and maintenance of scalable cloud-based data and machine learning infrastructure. The ideal candidate will possess strong technical skills, particularly in AWS services and Python programming, and will foster a collaborative, high-performance culture

Job Summary

  • The role involves leading engineering teams to deliver high-quality software solutions while fostering a culture of innovation and technical excellence.
  • Candidates will design and maintain scalable cloud-based data and ML infrastructure using AWS services and advanced Python programming.
  • This position requires strong collaboration with data scientists and platform teams to enable reliable data pipelines and model deployment workflows.

Matching Summary

Match Score: 85

Barclays is seeking a Machine Learning Platform Engineer in Glasgow, responsible for leading engineering teams and managing the design, development, and maintenance of scalable cloud-based data and machine learning infrastructure. The ideal candidate will possess strong technical skills, particularly in AWS services and Python programming, and will foster a collaborative, high-performance culture.

Skills & Requirements

Must-have

  • AWS Glue Step Functions EventBridge Lambda S3 Redshift
  • CloudFormation infrastructure automation deployment
  • Advanced Python programming skills
  • Optimized PySpark Spark SQL workloads
  • Docker containerisation REST APIs

Nice-to-have

  • GitLab version control CI/CD pipelines
  • Databricks Jobs Workflows Delta Live Tables
  • Strong ownership mentality end-to-end delivery
  • Cross-functional collaboration and mentorship
  • Risk mitigation and governance agenda

Key Requirements

  • Hands-on experience with AWS services
  • Proficiency in CloudFormation for infrastructure
  • Expertise in PySpark and Spark SQL
  • Experience with Docker and REST APIs
  • Leadership responsibilities or individual contributor lead

Work Rights

Not specified

Tailored Resume

Cover Letter