Python Engineer

John Goddard Associates; City of Edinburgh; Remote; GBP 100,000 - 125,000; Full time

Job summary

A technology consulting firm is looking for an experienced Python Engineer to remotely build production-grade AI systems utilizing state-of-the-art machine learning libraries and AWS. The role demands strong Python skills, cloud AI expertise, and familiarity with modern development practices. A competitive daily rate of £480-£520 is offered for a 6-month contract with high probability of extension.

Qualifications

• 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).
• Familiarity with TDD, pair programming, and modern development practices.

Responsibilities

• Building production-grade AI systems using LLMs, Object Detection, and OCR.
• Leveraging frameworks like Hugging Face Transformers, PyTorch, YOLO and OpenCV.
• Creating scalable data pipelines with Pandas, NumPy, SQLAlchemy and Airflow.

Skills

Python 3.9+

AI/ML systems

AWS

CI/CD

Agile methodologies

Tools

Hugging Face Transformers

PyTorch

SQLAlchemy

Job description

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.