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Lead Python Engineer – AI & Data

London, Westminster, United Kingdom

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Indexed description

We’re working with a leading consulting firm on a long‑term engagement with a major financial services client. They are looking for a Lead Python Engineer to set the engineering bar across several Python services while remaining highly hands‑on.


The opportunity

You will:

  • Lead the design and development of Python‑based services and REST APIs (Django or similar) used across multiple AI and data use cases.
  • Own and manage the code repository: structure, branching strategy, pull requests, code reviews and refactoring standards.
  • Implement and enforce software development best practices – CI/CD, automated testing (unit and integration), static checks and quality gates.
  • Drive a focus on code simplicity, performance and maintainability, continuously improving the codebase through regular refactoring.
  • Work in a full‑stack environment: Python/Django on the backend, templates or light front‑end integration where needed, running in containers (Docker/Kubernetes) with DevOps support.
  • Mentor and upskill other developers (including offshore team members), providing clear feedback and helping to embed consistent ways of working across pods.


What we’re looking for


Must have:

  • Advanced Python experience building production systems and APIs (Django or comparable framework).
  • Demonstrable experience owning a codebase: repository management, branching/PR workflows, code reviews and refactoring.
  • Strong grasp of engineering best practice: CI/CD pipelines, automated testing, monitoring and documentation.
  • Experience working in a containerised environment (Docker; Kubernetes strongly preferred).


Should have:

  • Exposure to front‑end integration (Django templates or similar) and an understanding of how the full stack hangs together.
  • Experience in financial services or consulting environments.
  • Previous responsibility for mentoring or leading developers within a team.


Details

  • Location: UK‑based, hybrid working with onshore and offshore teams.
  • Contract: 3–12 months, with potential to extend.
  • Day rate: £700 per day

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