Yate, BS37, Nibley, Gloucestershire, United Kingdom
Zenovo
Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-seriesforecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model training and evaluation. Experimentation: Design and execute More ❯
Employment Type: Permanent
Salary: £55000 - £60000/annum Up to £60,000 (depending on experien
Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-seriesforecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model training and evaluation. Experimentation: Design and execute More ❯
Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-seriesforecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model training and evaluation. Experimentation: Design and execute More ❯
Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-seriesforecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model training and evaluation. Experimentation: Design and execute More ❯
Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-seriesforecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model training and evaluation. Experimentation: Design and execute More ❯
