3 of 3 Machine Learning Jobs in Warwickshire

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 ...

teams.Your responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise.Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends and improvement … opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...