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8 XGBoost Jobs
United Kingdom Hybrid / WFH Options ayora
or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees (e.g. Catboost, XGBoost) —- Reinforcement learning —- Recommendation systems —- Large language models Able to train, tune and evaluate models and prepare them for production deployment Understanding and experience with modern more »
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 »
South East London, England, United Kingdom Hybrid / WFH Options Sanderson
AWS 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 »
hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/ XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R 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 »
South East London, England, United Kingdom La Fosse
networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/DS frameworks ( XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practiceswith a modern ML/Data/Cloud engineering technical stackIf you’re more »
United Kingdom nineDots.io
use of AI, ensuring compliance with internal policies and external regulations. Deep understanding of traditional AI techniques: regression, classification, forecasting, clustering (e.g., Decision Trees, XGBoost, ARIMA, etc.) Strong understanding of programmatic LLM risk controls: output format validation, output context validation, content moderation etc. There is a lot more nuance to more »
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Salary Guide XGBoost - 10th Percentile
- £46,306
- 25th Percentile
- £65,000
- Median
- £70,576
- 75th Percentile
- £91,250
- 90th Percentile
- £110,750
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