AI Engineer

We are seeking a skilled AI Engineer at Barclays to develop and implement machine learning and AI solutions that strengthen our ability to detect financial crime, prevent fraud, and safeguard our customers.

Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, production‑grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecycle—from data exploration and model development through to deployment and monitoring—while working within established governance, documentation, and regulatory standards.

To be successful as an AI Engineer, you must have the following essential skills:

• Strong experience developing scalable, modular, and maintainable Python applications
• Experience developing and deploying well‑tested Generative AI applications, using relevant frameworks such as Lang Graph/Lang Chain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI
• Experience in machine learning development, including training, evaluating, deploying, and monitoring models
• Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face
• Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps
• Experience contributing to the delivery of AI or ML projects and working effectively with technical and business stakeholders

Some other highly valued skills may include:

• Experience supporting or mentoring colleagues within machine learning engineering or software development teams
• Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks
• Exposure to evaluating LLM‑based applications, including AI‑as‑a‑judge approaches
• Experience with Generative AI techniques such as retrieval‑augmented generation, fine‑tuning, or prompt engineering
• Exposure to distributed data processing frameworks, such as Spark
• Exposure to fraud detection, anti‑money laundering, anomaly detection, or graph and network‑based modelling
• Awareness of model risk management, governance, and regulatory controls within 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, with a hybrid working model requiring a minimum of 3 days per week in the office.

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision‑making

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well‑tested software and work with technology to ope rationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business…