AI Engineer, Fraud Detection & ML Ops (Hybrid, Glasgow)

Barclays; Glasgow; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Barclays in Glasgow is seeking an AI Engineer to design and implement machine learning and AI solutions for fraud detection and financial crime protection. You will collaborate with data scientists and engineers to build scalable ML pipelines and production-grade code in a hybrid office setting.

The role covers data exploration, model development, deployment, and monitoring within governance and regulatory standards, emphasizing robust monitoring, risk controls, and collaboration with business

Qualifications

• Experience building scalable ML pipelines in production environments.
• Experience evaluating and monitoring ML models.
• Strong Python software engineering practices.

Responsibilities

• Design analytics and modelling solutions for complex business problems.
• Collaborate with technology to specify dependencies for analytical solutions (data, environments, tools).
• Develop well-documented analytics and modelling solutions and demonstrate efficacy to users and validation teams.
• Implement analytics and models in robust software and work with tech to operationalise them.
• Provide ongoing support for analytics and modelling solutions to users.

Skills

Python development

Generative AI deployments

ML model lifecycle

PyTorch/HuggingFace

ML Ops/LLMOps

Stakeholder collaboration

Tools

LangGraph/LangChain

CrewAI

AWS Bedrock

Databricks

Spark

Job description

Barclays in Glasgow is seeking an AI Engineer to design and implement machine learning and AI solutions for fraud detection and financial crime protection. You will collaborate with data scientists and engineers to build scalable ML pipelines and production-grade code in a hybrid office setting.

The role covers data exploration, model development, deployment, and monitoring within governance and regulatory standards, emphasizing robust monitoring, risk controls, and collaboration with business