Ml Platform Engineer

jobs.barclays

Glasgow, United Kingdom
Not specified
Aws services including glue step functions eventbridge lambda s3 redshift
Cloudformation for infrastructure automation
Advanced python programming skills
Barclays is seeking an ML Platform Engineer to lead engineering teams in Glasgow, focusing on delivering high-quality software solutions and fostering a culture of innovation. The role entails technical guidance, mentorship, and collaboration with cross-functional teams to align projects with business objectives

Job Summary

  • This role involves leading engineering teams to deliver high-quality software solutions while fostering a culture of innovation and technical excellence.
  • The successful candidate will design and maintain scalable cloud-based data and ML infrastructure using AWS services and advanced Python programming.
  • Candidates are expected to demonstrate Barclays values of Respect, Integrity, Service, Excellence, and Stewardship while collaborating with cross-functional stakeholders.

Matching Summary

Match Score: 85

Barclays is seeking an ML Platform Engineer to lead engineering teams in Glasgow, focusing on delivering high-quality software solutions and fostering a culture of innovation. The role entails technical guidance, mentorship, and collaboration with cross-functional teams to align projects with business objectives.

Skills & Requirements

Must-have

  • AWS services including Glue Step Functions EventBridge Lambda S3 Redshift
  • CloudFormation for infrastructure automation
  • Advanced Python programming skills
  • Optimized PySpark Spark SQL workloads
  • Docker containerisation experience
  • REST API development and integration

Nice-to-have

  • GitLab version control and CI/CD pipelines
  • Databricks Jobs Workflows Delta Live Tables
  • Strong ownership mentality for end-to-end tasks
  • Cross-functional collaboration skills
  • Risk mitigation and governance knowledge

Key Requirements

  • Assistant Vice President level leadership responsibilities
  • Hands-on experience with AWS and CloudFormation
  • Proven expertise in PySpark and large-scale data processing
  • Experience with Docker and REST APIs
  • Ability to drive tasks end-to-end independently

Work Rights

Not specified

Tailored Resume

Cover Letter