Senior Machine Learning Engineer

Senior Machine Learning EngineerJob Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable,plete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended dataplexity and volumes. Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations
Contribute or set strategy, drive requirements and make rmendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. Be a subject matter expert within own discipline and will guide technical direction. Lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation toplete assignments. Train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. 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, in support of the control andernance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrateprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thoughtparing and selectingplex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the oues of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to aplish key business objectives, using influencing and negotiating skills to achieve oues.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moralpass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join our innovative AI/ML team at Barclays Corporate Bank as a Senior Machine Learning Engineer , where we bridge the gap between cutting-edge data science exploration and real-world business application integration. We manage internal cloud platforms that support exploratory data science work while specialising in transforming conceptual ML models into production-ready applications that drive critical business decisions and processes. As part of Barclays' strategic AI/ML initiative, our team plays a vital role in establishing the corporate bank as a leader in financial data analytics innovation. We offer the opportunity to work with enterprise-scale data using cloud technologies, implement MLOps best practices, and collaborate with talented data scientists to deliver solutions that create measurable business impact across the organization.

To be successful in this role, you will need the following:
Strong proficiency and experience in AWS based Machine Learning technologies (AWS SageMaker, Lambda, S3, EC2). Experience with CI/CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. Previous experience in the banking sector is mandatory.
Some other highly valued skills may include:
Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code (Terraform, CloudFormation). Familiarity with data visualisation tools and techniques. Advanced knowledge of ML algorithms and their optimisation. Experience with distributedputing for large-scale ML workloads (Spark). Experience with pricing models or pricing-related projects is strongly preferred. Additional Experience in GenAI projects implementation (multiple RAG patterns, prompt management, agentic workflows) is preferred.
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.

The successful candidate will be based in Glasgow. Job ID JR-0000065448