Decision Tree Jobs in Buckinghamshire

4 of 4 Decision Tree Jobs in Buckinghamshire

Data Scientist

Milton Keynes, Buckinghamshire, United Kingdom
LA International
NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Ability to write clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data More ❯
Employment Type: Permanent
Salary: GBP Annual
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Data Scientist

Milton Keynes, Buckinghamshire, South East
LA International Computer Consultants Ltd
like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data More ❯
Employment Type: Contract
Rate: £400 - £450
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Data Scientist

Milton Keynes, Buckinghamshire, South East, United Kingdom
Hybrid / WFH Options
LA International Computer Consultants Ltd
like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data More ❯
Employment Type: Contract, Work From Home
Rate: £400 - £450 per day
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Data Scientist

Milton Keynes, England, United Kingdom
Avance Consulting
like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data More ❯
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