4 of 4 Remote/Hybrid Logistic Regression Jobs in the UK

experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem ...

best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps ...

identify where they can be improvedKey Skills and Experience:Previous experience within general insurance pricingExperience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and ClusteringExperience in statistical and data science programming languages (e.g. R, Python ...

Applied Machine Learning : Strong background in feature engineering, tabular machine learning, calibrated scoring systems, and production use of models such as gradient‐boosted trees, logistic regression, and related approaches. Content‐Aware Recommendation Systems : Experience combining embeddings, semantic similarity, collaborative signals, and content understanding to build recommendation systems that ...