6 of 6 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 ...

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/ ...

tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks ...

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 ...

Review, draft and update customer-facing terms, disclosures, partner communications, internal guidance and other legal materials. Support the Initiative Review Process and RAPID decision-making model by gathering information, conducting initial legal triage and risk assessment, coordinating input from relevant LPA specialists, documenting decisions and tracking mitigations. … regulatory guidance, enforcement outcomes and agreed legal advice into product processes, controls, customer communications and training. Develop scalable legal resources, including FAQs, playbooks, decision trees, checklists and training materials, so that teams can self-serve on recurring lower-risk questions. Help improve ways of working between Product ...