Salary: £33,000 - 65,000 per year Requirements: Commercial experience with AI/ML technology including OCR, Object Detection, and LLM analysis implementation. Experience with Machine Learning & AI Libraries such as: - 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. Proficiency in Python 3.9 and understanding of object-oriented programming, decorators, context managers, and async/await patterns. Strong skills in data structures and algorithms for efficient data processing and model optimization. Knowledge of error handling and debugging techniques such as try-catch blocks, logging, and debugging tools. Experience with data processing libraries like Pandas and NumPy. Familiarity with SQLAlchemy or psycopg2 for database connectivity and ORM operations. Knowledge in AWS services including Lambda, S3, CloudWatch, IAM, and CDK. Experience with API development using FastAPI and authentication/authorization methods (JWT, OAuth). Capable of collaborating effectively with other engineers to build quality AI/ML software. Familiar with Agile delivery models, particularly Scrum or Kanban frameworks. Familiarity with development practices like TDD and pair programming. Responsibilities: Analyze the problem space and develop solutions to automate high-volume, low-complexity casework. Apply OCR and large language models to assess automation risk on deed documents. Automate wet signature verification using document analysis and object detection techniques. Collaborate closely with operational and customer-facing teams to ensure effective solutions integrate with existing digital platforms. Develop and implement AI/ML solutions, utilizing service-based and serverless architecture. Communicate AI/ML concepts effectively to both technical and non-technical audiences. Maintain high standards of software quality and performance through code reviews and collaboration. Participate in Agile ceremonies to ensure timely delivery of project milestones. Technologies: AI API AWS Lambda CloudWatch Computer Vision FastAPI IAM JWT Kanban LLM Machine Learning OAuth PyTorch Python Serverless TDD numpy opencv pandas Cloud Airflow ETL Grafana HTTP Support Kubernetes REST Security XP More: We are a leading company in the public sector, focused on redefining our software delivery model to better align our development teams with core business domains. Our Land Registration Automation team is engaged in advancing automation capabilities and ensuring effective integration with digital platforms. This role is a 6-month contract, deemed Outside IR35, and is hybrid-based in Edinburgh, with a focus on high-impact solutions leveraging AI/ML technologies. We value collaboration and provide a supportive environment for our teams. last updated 14 week of 2026