7 of 7 Permanent Decision Tree Jobs in the North West

systems and multi-agent architecturesProficiency in machine learning and 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 experience ...

XGBoost, LightGBM, CatBoost) as the default for tabular prediction. Recognising when simpler, more interpretable models, such as regularised logistic regression or well‐constrained decision trees, are the better choice. Applying clustering and segmentation techniques (e.g. k‐means, hierarchical or sequence‐based clustering) to characterise populations. Model Craft Strong ...

multiple use cases as well as models.Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...

models, ICPs, personas and predictive scoring frameworks. Design AI-driven customer journeys across email, web, paid media, SMS and CRM. Develop automation workflows, decision trees and AI-powered orchestration models. Build autonomous AI agents to improve marketing productivity and scalability. Drive dynamic personalisation using behavioural, intent and commercial ...

lifecycle strategies across the full customer journey from lead and MQL through to opportunity, revenue and advocacy Build sophisticated journey logic including triggers, decision trees, suppression and exit criteria Use customer data, intent, behaviour and propensity to deliver more personalised communications Develop and optimise cross-sell and customer ...