Python Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Engineer on a 6-month remote contract, paying £480-£520 per day. Key skills include Python 3.9+, AI/ML deployment in AWS, and experience with frameworks like Hugging Face and PyTorch.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Edinburgh
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🧠 - Skills detailed
#NumPy #AI (Artificial Intelligence) #Python #AWS (Amazon Web Services) #SQLAlchemy #Libraries #ML (Machine Learning) #Scala #API (Application Programming Interface) #PyTorch #FastAPI #Agile #MLflow #Pandas #Object Detection #S3 (Amazon Simple Storage Service) #Programming #Transformers #Deployment #Infrastructure as Code (IaC) #Airflow #Cloud #"ETL (Extract #Transform #Load)" #Hugging Face #AWS Lambda #Debugging #Data Pipeline #Lambda (AWS Lambda) #OpenCV (Open Source Computer Vision Library) #A/B Testing
Role description
Python Engineer 6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced PythonEngineer with a strong understanding of AI/ML/ AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working On: • Building production-grade AI systems using LLMs, Object Detection, and OCR • Leveraging frameworks like Hugging Face Transformers, PyTorch, YOLO, OpenCV, and Pillow • Designing and deploying AI services via FastAPI, AWS Lambda, EKS/ECS, and S3 • Creating scalable data pipelines with Pandas, NumPy, SQLAlchemy, and Airflow • Supporting real-time model inference, edge deployments, and API integrations • Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer skills and experience: • Strong Python 3.9+ skills with deep understanding of OOP, async/await, and debugging • Proven experience building and deploying AI/ML systems in the cloud (AWS) • Solid grasp of CI/CD, infrastructure as code (CDK), and Agile methodologies • Familiarity with TDD, pair programming, and modern development practices Desirable: • Advanced fine-tuning techniques (LoRA, QLoRA) • RLHF, multi-modal AI, or edge deployment experience • ML experiment tracking (MLflow, Weights & Biases) and A/B testing strategies If you possess the above technical skills and hands-on experience, please apply today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.