Role: PythonEngineer
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 ENGINEER

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.

SKILLS/EXPERIENCE OF THE PYTHON ENGINEER

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

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 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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