About The Role

Role: Developer
Contract Length: 12 months with a possible option to extend
Location: Hybrid/Edinburgh or Glasgow - expected to occasionally visit one of these locations as per the requirements of the role.
IR35: Outside
Pay Rate to Intermediary: £483 per day
Security Clearance: BPSS

About the Role

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

Key Responsibilities

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

Essential Skills and Experience

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

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

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