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AI Platform Engineer

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Barclays UK
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Join Us as an AI Platform Engineer – Shape the Future of AI ’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.

Required Experience
  • Proven experience in Python engineering, focusing on backend and infrastructure tooling.
  • Deep knowledge of AWS services (IAM, KMS, Cloud Formation, 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.
Highly Valued Skills
  • Experience with MLOps platforms such as Databricks or Sage Maker, and familiarity with hybrid cloud strategies (Azure, on‑prem Kubernetes).
  • Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration.
  • Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine‑tuning and deployment for enterprise use cases.
  • Hands‑on experience with Hugging Face libraries and tools for model training, evaluation, and deployment.
  • Knowledge of agentic frameworks (e.g., Lang Chain, Auto Gen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability.
  • Awareness of emerging trends in GenAI platforms, open‑source MLOps, and cloud‑native AI solutions.

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

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

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities
  • Development and delivery of high‑quality software solutions by using industry‑aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimised for performance.
  • Cross‑functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
  • Collaboration with peers, participation in code reviews, and promotion of a culture of code quality and knowledge sharing.
  • Staying informed of industry technology trends and innovations and actively contributing to the organization’s technology communities to foster a culture of technical excellence and growth.
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Vice President Expectations
  • Contribute to or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and escalation of policy breaches.
  • If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to pay decisions/changes. May lead specialists to influence department operations, balancing…
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