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Date live:
Aug. 05, 2026
Business Area:
Group Economic Crime COO
Area of Expertise:
Risk and Quantitative Analytics
Reference Code:
JR-0000098991
Contract:
Permanent
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Explore locationWe are seeking a highly skilled AI and Machine Learning Engineer at Barclays, to design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers.
Working closely with data scientists and engineers, you will focus on developing scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring systems. You will play a key role across the full AI/ML lifecycle—from initial concept and data exploration through to deployment—while ensuring adherence to strict governance, documentation, and regulatory standards.
To be successful as an AI Engineer, you should have:
Extensive experience developing scalable, modular, and maintainable Python applications
Experience deploying observable, well-tested, robust Generative AI applications at scale, including with relevant frameworks (e.g., LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, CrewAI).
Experience in machine learning development (training, evaluating, deploying, and monitoring models at scale).
Experience with deep learning/NLP frameworks (e.g., PyTorch, Hugging Face).
Solid understanding of software engineering principles, design patterns and ML lifecycle practices (MLOps/LLMOps).
Previous experience of owning and delivering AI and ML projects, including stakeholder management.
Some other highly valued skills may include:
Experience leading machine learning engineering or development teams.
Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks).
Experience with evaluating LLM-based applications including AI-as-a-judge.
Experience demonstrating Generative AI skills such as retrieval-augmented generation, fine-tuning, prompt-engineering.
Exposure to distributed data processing frameworks (e.g., Spark).
Exposure to fraud detection, anti-money laundering, anomaly detection, or graph/network-based modelling.
Understanding of model risk management, governance, and regulatory controls in financial services.
You may be assessed on the key critical skills relevant for success in the 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 will be located at our Glasgow office.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.