6 of 6 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 ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC/machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your … highly experienced Linux Systems Administrator/Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML/AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability. ...

receive structured job support to help you secure your first role. The Programme This 10 14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer ...