Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer 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 machine learning lifecycle—from initial concept and data exploration through to deployment—while ensuring adherence to strict governance, documentation, and regulatory standards.

• Extensive experience in machine learning development (training and/or deploying models at scale).
• Outstanding programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Spark).
• Experience with deep learning/NLP frameworks (e.g., PyTorch, Hugging Face).
• Solid understanding of software engineering principles and ML lifecycle practices (MLOps/LLMOps).
• Previous experience of owning and delivering ML projects, including stakeholder management.

• Experience leading machine learning engineering or development teams.
• Experience with LLMs and agentic AI systems, including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, Lang Graph, CrewAI).
• Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks).
• 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 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.

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 contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures.
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will be a subject matter…