Python Engineer - Local Authority
Spinwell Global Limited
Edinburgh, UK
3 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
£139,685.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Artificial Intelligence
Amazon Web Services
Amazon S3
Optical Character Recognition (OCR)
Computer Vision
User Authentication
Program Optimization
Data Structures
Database Connection
Software Debugging
Web Servers
+33 more
Identity and Access Management
Python (Programming Language)
Machine Learning
NumPy
OAuth
Object Detection
Object-Oriented Software Development
OpenCV
Pair Programming
Scrum Methodology
Queueing Systems
Software Engineering
SQLAlchemy
Data Logging
Data Processing
Cloud Monitoring
Pytorch
Large Language Models
Grafana
Deep Learning
Boto3
Fastapi
Pandas
Kubernetes
Deployment Automation
HuggingFace
Extreme Programming
Machine Learning Operations
Api Design
Cloudwatch
Restful APIs
Amazon Simple Queue Service (SQS)
Serverless Computing
Job description
Experienced software engineers are required to provide hands-on technical leadership to an agile development team within client’s Land Registration domain seeking to leverage document processing and ML to realise new automation opportunities for the organisation., * 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 containerized AI deployments
API Development:
- FastAPI for building REST APIs and model serving endpoints
- Requests library for HTTP client operations and external API integration
- Authentication/authorization implementation (JWT, OAuth)
Software Development:
- Making excellent quality AI/ML software collaboratively with other engineers
- Working effectively under technical leadership while contributing specialized AI/ML expertise
- Design and implementation of AI/ML solutions using service-based and serverless architecture
- Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences
Development Practices:
- Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana
- Experience working in Agile delivery models - Scrum and/or Kanban frameworks
- Formal XP engineering techniques including TDD and pair programming
- Working within defined infrastructure-as-code frameworks
Requirements
Commercial experience with AI/ML technology:
- OCR, Object Detection and LLM analysis implementation
- Machine Learning & AI Libraries including:
- Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference
- PyTorch for deep learning model development and training
- OpenCV for computer vision tasks and image preprocessing in object detection
- PIL/Pillow for image manipulation and format conversion
- YOLO object detection frameworks
Core Python Skills:
- Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns
- Data structures and algorithms for efficient data processing and model optimization
- Error handling and debugging using try-catch blocks, logging, and debugging tools
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Prepare application
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