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.
Key Requirements
- 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 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 modelling.
- Understanding of model risk management, governance, and regulatory controls in financial services.
Location
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 modelling 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 modelling 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 operationalise them.
- Provide 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.
Vice President Expectations
- Contribute or set strategy, drive requirements, and make recommendations for change.
- Define jobs and responsibilities, plan resources, budgets, and policies; manage and maintain processes.
- Lead specialists to influence operations, balancing short and long‑term goals and ensuring budgets and schedules meet corporate requirements.
- Demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver consistently excellent standards.
- Act as a subject‑matter expert and guide technical direction, collaborating on multi‑year assignments.
- Advise key stakeholders on functional and cross‑functional areas of impact and alignment.
- Manage and mitigate risks through assessment in support of the control and governance agenda.
- Demonstrate comprehensive understanding of the organisation 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.
- Incorporate outcomes of extensive research into problem‑solving processes.
- Seek, build, and maintain trusting relationships and partnerships with stakeholders using influencing and negotiating skills.
Values & Mindset
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and the Barclays Mindset – to Empower, Challenge and Drive.
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