Python Engineer - Local Authority
Listed on 2026-09-18
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Software Development
Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Role:
Python Engineer
Contract Length: 6 months with possibility of extension
Location:
Hybrid/Edinburgh or Glasgow - On-site collaboration may be required depending on project/team requirements
IR35:
Outside
Pay Rate to Intermediary: £537.25 per day
Security Clearance: BPSS
Spinwell 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 organisation.
SKILLS/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, fine tuning, 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
Data Processing:
- Pandas and Num Py for data manipulation, cleaning, and numerical operations
- SQL Alchemy 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
- Cloud Watch 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
We welcome all applications regardless of background, in line with our commitment to diversity, equality and inclusion.
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