Senior Python Engineer (Machine Learning & AI)

Job Description

We are seeking a Senior Python Engineer with strong experience in Django and machine learning workflows to join a high-impact engineering team. In this role, you will design and build robust backend systems and ML pipelines that extend and power production AI capabilities.

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You’ll work at the intersection of software engineering and applied machine learning—shipping scalable, low-latency systems that move from experimentation to real-world deployment.

Key Responsibilities

• Design, develop, and maintain backend services using Django
• Build, train, fine-tune, and deploy machine learning models for low-latency inference
• Refine and optimise ML and AI pipelines to improve performance and reduce inference latency
• Ensure application scalability, reliability, and performance in production environments
• Implement maintainable backend solutions including RESTful APIs, database models, and core business logic
• Stay current with advances in AI, machine learning, Python, and Django ecosystems

Requirements

• 5+ years of experience in Django web development, with deep knowledge of Django ORM, Django REST Framework, and related tools
• Strong proficiency in Python, including experience building and deploying machine learning applications
• Solid understanding of machine learning concepts and algorithms, with hands-on experience using libraries such as scikit-learn, TensorFlow, or PyTorch
• Strong software engineering fundamentals, including design patterns, SOLID principles, and best practices for clean, maintainable code
• Experience with containerisation (Docker) and orchestration platforms (e.g. Kubernetes) is a plus
• Excellent communication skills and the ability to collaborate effectively within cross-functional teams

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