8 of 8 Machine Learning Jobs in Cheshire

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 ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery - Experience building AI-powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

diagnostic skills. Desirable: Experience working within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity … Oracle Hadoop Elasticsearch Git CI/CD Pipelines AI/LLM Platforms Agile Delivery At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each ...

Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities ...

solutions, empowering them to leverage data effectively. Create clear and concise documentation for all BI solutions. Explore and implement advanced forecasting techniques, potentially leveraging machine learning and artificial intelligence. What you'll bring: At least 3 years of hands-on experience in business intelligence development. Demonstrable expertise ...

data accuracy, governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...