51 to 75 of 88 XGBoost Jobs in the UK

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 ...

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 ...

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 ...