10 of 10 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 ...

patterns and standards, ensuring solutions are scalable, reusable, secure, maintainable and cost-effective. Develop the platform and data architecture required to support AI and machine learning use cases, ensuring high-quality, accessible and appropriately governed data is available for AI solutions. Enable the development of reusable data products … modern software and data engineering practices including Git, CI/CD, automated testing, monitoring and deployment. Experience designing platforms that support analytics, data science, machine learning or AI applications. A strong understanding of data governance, data quality, security and data management principles. The ability to translate business requirements ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

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 ...

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 ...

renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

engineers, supporting their growth and performanceCollaborating with stakeholders to turn business needs into impactful data solutionsDriving development of our data platform, including AI/ML-ready architectureEstablishing best practices across data governance, quality, and securityWhat we're looking for...EssentialProven experience as a Senior or Lead Data Engineer in complex environmentsStrong … your career in many directions. The development of our people has always been a priority for us. We have established a culture of continuous learning and knowledge-sharing which means our colleagues are constantly exposed to new experiences and ways of working. Everyone in Radius, from entry-level ...