19 of 19 Decision Tree Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

analysis, population split analysis and reject analysis.This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking for someone who is able … decisions and profitability. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. Understanding of the regulatory landscape with respect to consumer credit ...

clear business language.Facilitate discussions between business SMEs, actuaries, developers, testers, architects, and delivery leads.Provide structured status updates, risk/issue summaries, and decision points to project leadership.Ensure business stakeholders understand how configured rules reflect their underwriting and pricing requirements.Testing, Validation, and GovernanceDefine and execute rule configuration testing, scenario … formulas, rating sheets, lookup tables, factors, and calculation flows.Good understanding of XML and structured configuration files.Ability to understand rule hierarchies, conditional logic, validations, decision trees, and calculation dependencies.Experience with configuration testing, regression testing, and price-output reconciliation.Familiarity with JIRA, Confluence, Azure DevOps, or similar delivery tools.Ability to document ...

Marketing Analyst ensures our digital experiences run smoothly day to day, while also contributing to more intelligent personalization, testing strategies, and AI‐powered decision support across digital channels. This role partners closely with marketing, analytics, and technology teams to translate data and system capabilities into actionable insights … agents that enable performance reporting, insight generation, audience and content recommendations, and optimization support.Translate business needs into clear AI logic, prompts, workflows, and decision rules, and document agent inputs, outputs, and behaviors.Design and support A/B testing and personalization experiments, partnering with UX and marketing teams ...

economics of the asset we’re booking, and drive changes where neededDesign automated decisioning logic — translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the marketHelp shape funding strategy … knowledge of MCOB and FCA requirements for second charge lendingExperience designing for scale and automation — you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case ...

role is accountable for producing decision-grade outputs: clear problem statements, options appraisals, feasibility studies, decision trees, risk/fault-tree analysis, business cases, and adoption considerations, so leadership can confidently prioritise. It requires strong relationship building and communication with partners, practice leaders, and operational … guardrails.Define success measures and KPIs (value, adoption, quality, client impact) and embed these into delivery initiation.Support the governance process by preparing concise, decision-ready packs for steering groups and investment forums.Maintain a prioritised pipeline of opportunities, ensuring initiatives are comparable through standard scoring and evidence.Conduct market and vendor ...