Software Engineer, VP

Role Overview

This vice presidentlevel role is suited to a technically strong Software Engineer with deep experience in Python and AI/ML technologies. The role spans the full software development lifecycle, focusing on the design, development, testing, and deployment of resilient, scalable software solutions. Working within a permanent feature team, the role supports business objectives through close collaboration with engineers, architects, and stakeholders.

Key Responsibilities

• Design, develop, test, and implement software solutions across the full system lifecycle
• Build deep understanding of the platform across business, application, data, and infrastructure layers
• Collaborate with principal engineers, architects, and key stakeholders to align technical solutions with business objectives
• Apply Agile methodologies to backlog-driven software development
• Develop resilient, maintainable, and long-lived software capable of adapting to future requirements
• Contribute to intentional architecture and emergent design through innovation, experimentation, and prototyping
• Design and develop software with a strong focus on automating build, test, and deployment processes
• Use executable patterns to support continuous integration and continuous delivery

Required Skills and Experience

• Minimum of twelve years of experience in Python and AI/ML frameworks
• Strong ability to solve complex problems using appropriate programming languages and techniques
• Proven experience capturing, analysing, and validating complex business and system requirements
• Hands-on experience building and deploying machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn
• Experience working with cloud platforms including AWS, Azure, or GCP
• Strong knowledge of MLOps tools and practices such as MLflow, Kubeflow, Docker, and Kubernetes for model lifecycle management
• Experience working within information security policies and practices in the financial services sector
• Strong collaboration skills with the ability to work effectively with business and technology teams
• Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts clearly