Lead Platform Engineer

• MLOps Leadership
  :
  Build and evolve model deployment pipelines, registries, and monitoring frameworks.
• Tooling & Integration
  :
  Implement and optimize Sage Maker
  , Databricks
  , MLflow
  , and related orchestration tools.
• Governance & Risk
  :
  Ensure compliance with model governance
  , auditability
  , and AI safety standards
  .
• Operational Excellence
  :
  Drive reproducibility, lineage tracking, drift detection, and rollback strategies.
• Hands-On Delivery
  :
  Write production-grade Python code for automation, orchestration, and monitoring.
• Collaboration
  :
  Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs.
• Mentorship
  :
  Coach engineers on best practices for ML lifecycle management and secure deployment.

• Strong Python engineering background.
• Deep experience with Sage Maker
  , Databricks
  , MLflow
  , and CI/CD for ML.
• Proven track record in operationalizing ML models at scale
  .
• Knowledge of model governance
  , compliance, and risk management.
• Familiarity with feature stores
  , model registries
  , and observability tools (Langfuse, Observe).

• Kubernetes (EKS/on-prem), Airflow, Step Functions for orchestration.
• Databricks for data engineering and ML pipelines.
• MLflow for experiment tracking and model registry.
• Sage Maker for training and deployment.
• Langfuse for evaluation and tracing.

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
• Exercise management authority to make significant decisions and certain strategic decisions or…