Python Engineer - Local Authority
- Edinburgh Glasgow
- £557 per day
- Permanent
- Full-time
Contract Length: 6 months with possibility of extension(s)
Location: Hybrid/Edinburgh or Glasgow - On-site collaboration may be required depending on project/team requirements
IR35: Outside
Pay Rate to Intermediary: £557.25 per day
Security Clearance: BPSSSpinwell is recruiting for a Python Engineer for an excellent opportunity within the public sector.RESPONSIBILITIES OF THE PYTHON ENGINEERExperienced 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 organisationSKILLS/EXPERIENCE OF THE PYTHON ENGINEERCommercial 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
- 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
- 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
- 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
- FastAPI for building REST APIs and model serving endpoints
- Requests library for HTTP client operations and external API integration
- Authentication/authorization implementation (JWT, OAuth)
- 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
- 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