Developer - Local Authority

Spinwell is recruiting for a Developer an excellent opportunity within the public sector., 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

Desirable Skills and Experience

Advanced AI/ML Technologies:

• Custom model architecture design and implementation
• Advanced fine-tuning techniques including LoRA, QLoRA, and parameterefficient methods
• Multi-modal AI systems combining text, image, and structured data
• Reinforcement Learning from Human Feedback (RLHF) for model alignment

Production ML Systems:

• Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management
• Model versioning and experiment tracking (MLflow, Weights & Biases)
• Real-time model serving and edge deployment strategies
• A/B testing frameworks for ML model evaluation

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