in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R, or more »
looking to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code more »
Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or all of the following: Python, PySpark, scikit-learn, pandas, Azure Data Services, Databricks. If this sounds of interest, please apply. more »
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive more »
design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications more »
