Python Developer

mthree
Glasgow
2 months ago
Applications closed

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Python Developer - Digital Transformation Team

Python/Data Science Developer

Remote Python Developer

AI Technical Lead, ex .NET C#, Microsoft Developer, AI Maverick Remote

AI Technical Lead

Software Engineer (Python React)

A great opportunity for a Python Developer to work with a market leader in the Financial Services space, working with AI Architecture Delivery Team.


They are looking for a skilled and experienced Developer to join their architecture delivery team, which focuses on building AI Architecture, empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows.


Key Responsibilities:

  • Design, develop, and implement a scalable, AI-driven architecture platform.
  • Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines.
  • Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards.
  • Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization.
  • Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems.



Skills / Qualifications:

  • 4+ years of experience in at least one of the following: Python, Java or TypeScript
  • End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision
  • Ideally expertise in financial services applications, including knowledge of transaction processing, risk management, and data security.
  • Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders.
  • Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments.
  • Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code
  • Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus.

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