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Lead Python Engineer – AI & Data
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Python Engineer – AI & Data with a contract length of 3–12 months, paying £700 per day. Key skills include advanced Python, Django, CI/CD, Docker, and Kubernetes. Financial services experience is preferred. Hybrid UK-based work.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
-
🗓️ - Date
May 12, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Consulting #Monitoring #Python #Django #Strategy #REST (Representational State Transfer) #AI (Artificial Intelligence) #DevOps #Documentation #Docker #Containers #Kubernetes #Code Reviews #Automated Testing #REST API
Role 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
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






