you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯
ll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
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. 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 … 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 More ❯
tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity please More ❯
