4 of 4 Permanent Logistic Regression Jobs in the UK

Data Scientist – Credit Risk & AI Innovation

Hiring Organisation
Infact
Location
Greater London, England, United Kingdom
experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline performance, while XGBoost and LLMs are used as responsible additions. We are looking for someone who knows when … discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such ...

Senior Machine Learning Engineer

Hiring Organisation
Vermelo
Location
Manchester, North West, United Kingdom
Employment Type
Permanent, Work From Home
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 ...

Machine Learning Operations Engineer/MLOPS

Hiring Organisation
Thomas Ren Associates
Location
North, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience of the following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering Experience in DevOps, or other MLOps and ML Lifecycle stacks Experience with Docker ...

Machine Learning Operations Engineer/MLOPS

Hiring Organisation
Thomas Ren Associates
Location
North East, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience of the following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering Experience in DevOps, or other MLOps and ML Lifecycle stacks Experience with Docker ...