4 of 4 Machine Learning Jobs in Coventry

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 ...

predictive asset maintenance to dynamic workforce optimisation and demand forecasting. You will leverage the Databricks platform on AWS to build, scale, and deploy robust ML models that integrate seamlessly with our clients' enterprise architectures (SAP, FSM, GIS, SCADA systems). Key Responsibilities · End-to-End Predictive Modelling: Design and develop … process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific ...

eliminate redundancy by supporting with application consolidation and rationalisation, to then be able to reinvest funds such as in emerging technologies, currently including AI, Machine Learning, Big Data and Cloud initiatives. Provide technical recommendations and guidance for developing and delivering technology stacks, APIs, governing AI, etc., as well … improve customer experience. Deep technical knowledge “Proficient” to “Expert” level across a broad technology landscape, included but not limited to Data Engineering, Data Analytics, Machine Learning and AI. Experience and understanding with different delivery methods and tools including Waterfall, Agile, KANBAN, and JIRA. Understanding of market trends ...

tools and platforms. The role offers the opportunity to work on impactful projects that span data visualisation, operational tooling, and integration with AI/ML workflows. The Role Design and develop full-stack applications using semantic data models and SDKs. Build and maintain data pipelines and backend services using modern … tools. Develop interactive dashboards and operational tools using React and TypeScript. Integrate external APIs and services into application workflows. Collaborate with AI/ML teams to embed models into real-time operational systems. Ensure code quality, scalability, and maintainability through best practices. Support the development of standardised tools for data ...