

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.
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.