Machine Learning Engineer

Machine Learning Engineer – Barclays

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.

This role will be located at our Glasgow office.

• 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.

• 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 this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job‑specific technical skills.

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.
• 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 ope rationalise 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.

• Contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies and processes; deliver continuous improvements and address policy breaches.
• If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and pay decisions, and lead specialists to influence operations in alignment with strategic priorities.
• Demonstrate leadership behaviours to create an environment for colleagues to thrive, including listening authentically, energising and inspiring, aligning across the enterprise, and developing others.
• As an individual contributor, guide technical direction, lead multi‑year assignments, coach less experienced specialists, and influence long‑term organisational and strategic decisions.
• Advise key stakeholders, including functional leadership teams and senior management, on cross‑functional impacts 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…