2 of 2 Permanent Machine Learning Jobs in Doncaster

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...