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
Candidate Privacy Notice
By applying for this vacancy, you acknowledge that Spinwell Global Limited will process your personal information for recruitment purposes and may contact you about other suitable opportunities. Your details may be retained for up to 24 months from your…