1 to 25 of 42 Decision Tree Jobs in England

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 ...

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 ...

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 ...

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 ...

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 contribute to the team ...

experimental design, regression/predictive modeling, causal inference, and A/B testing).Solid knowledge of core machine learning techniques (e.g., clustering, regression, decision trees, neural networks) and their real-world tradeoffs.Proficiency in Python (for statistical and ML tools) and SQL (working with large-scale databases).Comfortable researching ...

experimental design, regression/predictive modeling, causal inference, and A/B testing).Solid knowledge of core machine learning techniques (e.g., clustering, regression, decision trees, neural networks) and their real-world tradeoffs. Proficiency in Python (for statistical and ML tools) and SQL (working with large-scale databases).Comfortable ...

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/ ...

them.Translate the tacit knowledge of senior practitioners, including playbooks, negotiation positions, house style and drafting conventions, into structured artefacts such as prompts, schemas, decision trees and evaluation rubrics that production AI systems can execute against.Standards, Quality and EvaluationOwn prompt engineering standards, schema specifications and quality assurance protocols, building ...

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 ...

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 ...

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 ...

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 ...

Validate that models meet Reflection's election integrity, violent extremism, and fraud risk thresholds before open weights ship. Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate, consistent enforcement at scale. Identify and report emerging misuse patterns and threat actor behavior to internal stakeholders ...

design workshops on site and remotelyScale yourself through the practiceBuild the intellectual property that multiplies your reach, reference architectures, deployment automation, design templates, decision trees, and delivery acceleratorsMentor and technically develop Solutions Architects and senior consultants across all theatres; raise the ceiling of the practice, not just your ...

where we go from here.THE PROBLEMInsurance distribution is changing. The incumbent channel - a price comparison site, a form, and a decision tree, has been dominant for 20 years - but that won’t be the case forever.Not because chatbots are a game-changer in themselves, but because ...

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 ...

kits, demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy.Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance.Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness.Coach Partner FDEs ...

demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy.* Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance.* Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness.* Coach ...

ensuring consistent measurement and actionable insights across titles. Establish and evolve live service operating rhythms (goal setting, performance reviews, experimentation, roadmap planning, decision trees) across titles. Partner with finance and forecasting teams to refine revenue models, ensuring assumptions align with product strategy and core KPIs. Manage, develop ...

demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy. Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance. Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness. Coach ...

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 ...

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 ...

join a high‐performing team focused on turning complex data into actionable insights, delivering innovative solutions that drive business value and support strategic decision‐making. In this role, you’ll work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope … standards and regulations. Core Skills Professional Experience – Proven experience in a Data Science role, delivering data‐driven solutions and insights to support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills ...