1 to 25 of 36 Decision Tree Jobs in England

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (clustering, regression, decision trees, etc.) and their real-world advantages and drawbacks. Working knowledge of the application of statistical and modeling techniques. Comfortable with researching and learning More ❯

production quality Python is essential. Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines. Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization). Prior More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL to prepare data, undertake More ❯

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing More ❯

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing More ❯

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing More ❯

models, including large language models (LLMs) such as GPT and similar architectures, in production environments. Develop solutions leveraging traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows. Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and More ❯

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing More ❯

ML/NLP, including semantic search, summarization, personalization, classification, information retrieval, and recommendation systems, with a solid understanding of ML algorithms (e.g., clustering, decision trees, gradient descent). Experience with modern ML-Ops workflows for developing and deploying models. Hands-on experience with LLMs, covering prompt engineering, fine More ❯

or PhD in a relevant field. Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks such as SKLearn More ❯

etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc. Inside IR35 contract, rates to reflect More ❯

etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc. Inside IR35 contract, rates to reflect More ❯

use-cases. Utilizing AIML development tools such as PyTorch, Jupyter Notebooks, XGBoost, TensorFlow, etc. Building AIML models including Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, Large Language Models (LLMs), Generative Models (PALM, GPT-3/4), Entity Extraction, among others. #J-18808-Ljbffr More ❯

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers … university, or equivalent experience. Applied experience in Time-Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning More ❯

ensure an exceptional level of customer service is consistently delivered! Key Responsibilities: Provide technical support for hardware and software issues Troubleshoot using diagnostic decision trees Communicate with dealers and suppliers to resolve faults efficiently Manage warranty collections and replacement equipment Work collaboratively with internal teams to maintain service More ❯

ensure an exceptional level of customer service is consistently delivered! Key Responsibilities: Provide technical support for hardware and software issues Troubleshoot using diagnostic decision trees Communicate with dealers and suppliers to resolve faults efficiently Manage warranty collections and replacement equipment Work collaboratively with internal teams to maintain service More ❯

ensure an exceptional level of customer service is consistently delivered! Key Responsibilities: Provide technical support for hardware and software issues Troubleshoot using diagnostic decision trees Communicate with dealers and suppliers to resolve faults efficiently Manage warranty collections and replacement equipment Work collaboratively with internal teams to maintain service More ❯