8 of 8 Permanent Machine Learning Jobs in Merseyside

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 ...

love working here: Be part of a growing, forward-thinking Data Insights team Work on high-impact projects using Data Science, Machine Learning, and AI Collaborate with cross-functional stakeholders including Finance, Research, and Operations Opportunities for professional development and mentoring junior analysts Enjoy autonomy and ownership over … assess the impact of business interventions Create compelling storytelling reports and visualizations for technical and non-technical stakeholders Collaborate closely with Data Scientists, Machine Learning Engineers, and cross-functional teams Mentor junior analysts and contribute to continuous improvement of data processes and models Your Experience We are looking ...

identify business problems, conceptualise projects, deliver analysis, communicate insight clearly and assess real-world impact. The role works closely with BI Analysts, Data Scientists, Machine Learning Analysts and wider operational stakeholders to solve complex business challenges. Key Responsibilities Insight, Analysis & Project Ownership Take ownership of analytical projects from … with BI Analysts to support internal and external reporting requirements Build upon and enhance existing analytical work produced by colleagues Support Data Scientists and Machine Learning Analysts with data preparation and insight context Assist operational teams and senior stakeholders with complex analytical problems Contribute to improving analytical standards ...

essential: Experience with SSIS/SSRS and modernising legacy ETL/reporting approaches. Familiarity with CI/CD pipelines, DevOps practices, or ML workflows. Experience with Azure Data Factory (useful where it complements Fabric pipeline patterns). Knowledge of KQL for analysis or Fabric components that support it. ...

analytics into commercial impact Preferred Skills & Experience Experience building analytics functions from the ground up Knowledge of advanced analytics, data science, and AI/ML concepts Experience working with cloud data platforms (e.g., Azure, AWS, GCP) Strong storytelling and data visualisation skills Excellent communication, leadership, and change-management capabilities ...

deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics or a related discipline * Proven experience in data analysis, statistical modelling and machine learning techniques * Strong skills in Python, R and or SQL with experience using Power BI for data visualisation * Commercial awareness with strong communication ...

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. Step ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...