1 to 25 of 26 Permanent Logistic Regression Jobs in the UK excluding London

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...

from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data is your ...