3 of 3 Remote/Hybrid Logistic Regression Jobs in the UK excluding London

Senior Machine Learning Data Scientist - Credit Risk

Hiring Organisation
Martin Veasey Talent Solutions
Location
Northampton, Northamptonshire, United Kingdom
Employment Type
Permanent
Salary
£80000 - £120000/annum +Bonus+Benefits (Flexibility £150k
scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will … decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial ...

Machine Learning Engineer

Hiring Organisation
Sanderson
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
£700 - £750 per day
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 equality are core values to us. We are proud ...

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 ...