51 to 60 of 60 Time Series Forecasting Jobs in the UK

learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great benefits including a bonus, subsidised office meals, gym membership More ❯

learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great benefits including a bonus, subsidised office meals, gym membership 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-series forecasting (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-series forecasting (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-series forecasting (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-series forecasting (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-series forecasting (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-series forecasting (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 ❯

. 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 ❯

Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as … well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all More ❯