AI/MLOps Platform Engineer

Barclays
Glasgow
2 months ago
Applications closed

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AI/MLOps Platform Engineer

Location: Barclays Glasgow, Scotland, United Kingdom


Barclays is launching an exciting new initiative to design, build, and scale next‑generation platform components that empower developers to create high‑performance, AI‑driven applications.


As an AI/MLOps Platform Engineer, you will work hands‑on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads, influencing technical direction across teams.


Responsibilities

  • Develop and deliver high‑quality software solutions using industry‑aligned programming languages, frameworks, and tools.
  • Collaborate cross‑functionally with product managers, designers, and engineers to define requirements and integrate solutions.
  • Participate in code reviews, promote code quality, ensure code is scalable and maintainable.
  • Stay informed of industry technology trends, contribute to technical communities.
  • Apply secure coding practices, implement unit testing, mitigate vulnerabilities, and protect sensitive data.
  • Lead or collaborate on assignments, provide guidance, and share knowledge.

Qualifications

  • Proficiency in Python and backend systems/shanghai infrastructure engineering.
  • Deep AWS expertise (SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, Bedrock).
  • Experience building and scaling MLOps platforms and supporting GenAI workloads in production.
  • Strong understanding of secure software development, cloud cost optimisation, and platform observability.
  • Excellent communication of complex technical concepts to both technical and non‑technical audiences.
  • Leadership experience setting technical direction while remaining hands‑on.
  • Bonus: MLOps platforms such as Databricks or SageMaker; hybrid cloud (Azure, on‑prem Kubernetes).
  • Understanding of AI infrastructure for model serving, distributed training, GPU orchestration.
  • Experience with LLMs/SLMs fine‑tuning and deployment for enterprise use cases.
  • Hands‑on with Hugging Face libraries, LangChain/AutoGen, Model Context Protocol.

Assistant Vice President Expectations

  • Advise and influence decision making, contribute to policy development, improve operational effectiveness.
  • Lead teams on complex tasks, set objectives, coach employees, conduct performance appraisal.
  • Demonstrate leadership behaviours: Listen, Energise, Align, Develop.
  • Collaborate across functions; guide team members; identify new directions.
  • Consult on complex issues, advise People Leaders, mitigate risk, develop policies.
  • Own risk management, strengthen controls, undertake cross‑functional work.
  • Engage in complex data analysis; solve problems creatively.
  • Communicate complex information effectively, influence stakeholders.

Seniority Level

Mid‑Senior level


Employment Type

Full‑time


Job Function

Engineering and Information Technology, Banking and Financial Services


All colleagues will demonstrate Barclays Values and Mindset.


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