Ai Platform Engineer

Barclays

Glasgow, United Kingdom
Hybrid
Python engineering experience
Aws cloud services expertise
Ai/ml workload scaling
This role involves building a next-generation platform to empower front-office developers with high-performance AI-driven applications

Job Summary

  • This role involves building a next-generation platform to empower front-office developers with high-performance AI-driven applications.
  • The engineer will design robust components that support advanced AI/ML workloads across both on-premises and cloud environments.
  • Success requires guiding technical strategy, collaborating with diverse teams, and ensuring secure, scalable solutions for the financial sector.

Matching Summary

This role involves building a next-generation platform to empower front-office developers with high-performance AI-driven applications.

Skills & Requirements

Must-have

  • Python engineering experience
  • AWS cloud services expertise
  • AI/ML workload scaling
  • Secure software development practices
  • Generative AI tooling integration

Nice-to-have

  • Databricks or SageMaker experience
  • Hybrid cloud strategy knowledge
  • LLM fine-tuning and deployment
  • LangChain or AutoGen frameworks
  • GPU orchestration for distributed training

Key Requirements

  • Proven Python backend engineering skills
  • Deep AWS service knowledge (IAM, KMS, EKS, etc.)
  • Experience scaling platforms for AI/ML workloads
  • Understanding of secure coding and cost optimization
  • Ability to guide engineering teams and influence strategy

Work Rights

Not specified

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