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.
Qualifications
- 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.
Highly Valued Skills
- 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, LangGraph, 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 modeling.
- Understanding of model risk management, governance, and regulatory controls in financial services.
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
- Design analytics and modeling solutions to complex business problems using domain expertise.
- Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools.
- Develop high performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams.
- Implement analytics and models in accurate, stable, well‑tested software and work with technology to operationalize them.
- Provide ongoing support for the continued effectiveness of analytics and modeling 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.
Vice President Expectations
- 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 address breaches of policies/procedures.
- If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance, and contribute to employee pay decisions.
- Demonstrate leadership behaviors to create an environment for colleagues to thrive and deliver consistently excellent results. The four LEAD behaviors are: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others.
- For an individual contributor, act as a subject‑matter expert within the discipline, guide technical direction, lead collaborative, multi‑year assignments, and coach less experienced specialists.
- Advise key stakeholders, including functional leadership teams and senior management, on functional and cross‑functional areas of impact and alignment.
- Manage and mitigate risks through assessment, supporting the control and governance agenda.
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work the team does.
- Demonstrate comprehensive understanding of the organization’s functions to contribute to achieving business goals.
- Collaborate with other areas of work to keep up to speed with business activity and strategies.
- Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives. Conduct in-depth analysis with interpretative thinking to define problems and develop innovative solutions.
- Adopt outcomes of extensive research in problem‑solving processes.
- Build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. They will also be expected to demonstrate the Barclays Mindset—Empower, Challenge, and Drive—as the operating manual for how we behave.
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