14 of 14 XGBoost Jobs in the South East

efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks ...

survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. You can build ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...