2 of 2 Azure Machine Learning Jobs in Warwickshire

data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny … solutions. What You Bring: We're looking for a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data … Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving More ❯

analytics to connect people to energy and enhance the sustainability of the energy system. In this role, you will collaborate with a diverse team of data scientists and machine learning engineers to tackle challenges across transmission, distribution, and interconnectors. You will convert data into actionable insights, addressing complex problems that significantly impact the lives of millions. … cause classification of transmission asset defects and data-driven asset management for interconnector assets. Success in this role requires a strong foundation in: Stakeholder engagement Data Science and Machine Learning Statistical and Probabilistic Analyses Programming and Software Development Effective Visualisation and Presentation What you'll do Lead major projects from conception to completion, collaborating with multiple … and address their analytical needs. Identify, extract, and integrate datasets of varying sizes, from spreadsheets to big data; prepare and clean data for advanced analyses. Utilize sophisticated analytics, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations. Develop structured, documented, and version-controlled code, collaborating with Machine Learning More ❯