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 ❯
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
. Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and More ❯
