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AI Platform Engineer

Glasgow, United Kingdom
Platform Engineer Python Developer Cloud Engineer Artificial Intelligence Engineer Machine Learning Engineer Full Stack Python Developer
Actively hiring

AI Platform Engineer

Barclays
Glasgow, United Kingdom
Platform Engineer Python Developer Cloud Engineer Artificial Intelligence Engineer Machine Learning Engineer Full Stack Python Developer
Barclays
Actively hiring

hackajob is partnering with Barclays to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Join Us as an AI Platform Engineer – Shape the Future of AI at Barclays

We’re excited to launch a groundbreaking initiative at Barclays—building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AI Platform Engineer, you’ll play a pivotal role in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments.

This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You’ll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services.

 

To be successful as an AI Platform Engineer at this level, you should have experience with:

  • Proven experience in Python engineering, with a focus on backend and infrastructure tooling.
  • Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock).
  • Experience scaling platforms for AI/ML workloads and integrating generative AI tooling.
  • Understanding of secure software development, cloud cost optimization, and platform observability.
  • Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
  • Demonstrated capability to guide engineering teams and influence technical strategy.

 

Some other highly valued skills may include:

  • Exposure to Azure and hybrid cloud strategies.
  • Familiarity with on-prem Kubernetes and Hadoop environments.
  • Understanding of quantitative developer workflows and financial data patterns.
  • Awareness of AI/ML infrastructure trends and cloud-native tooling.
  • Experience with fine-tuning AI/ML models and supporting custom model training and deployment.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

 

This role can be based out of our Glasgow or Canary Wharf office.

hackajob is partnering with Barclays to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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