10 of 10 Remote/Hybrid Logistic Regression Jobs in the UK excluding London

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 ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...

with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development ...