Overview

6-month contract (extensions highly likely)

£480-£520 per day Outside ir35

Remote contract

We're looking for an experienced Python Engineer 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.

Responsibilities

• 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.