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3 Permanent XGBoost Jobs in England
London Area, United Kingdom Hybrid / WFH Options Sanderson
or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Bachelor more »
Hammersmith, England, United Kingdom Wave Talent
track record of timely project delivery. Strong programming, statistics, mathematics, and ML algorithm fundamentals, with Python expertise. Familiarity with ML/DS frameworks (e.g., XGBoost, Scikit-learn) and modern OOP practices. Proficient in development best practices and version control (e.g., Git). Knowledgeable in memory, disk I/O, and more »
London Area, United Kingdom La Fosse
tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks ( XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If more »
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Salary Guide XGBoost England - 10th Percentile
- £46,306
- 25th Percentile
- £65,000
- Median
- £70,576
- 75th Percentile
- £107,500
- 90th Percentile
- £111,250
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