16 of 16 Permanent Decision Tree Jobs in London

multi-agent architectures Proficiency 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 working ...

code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results ...

automation workflows for audit tasks such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with technical teams to integrate predictive models into audit processes. Audit Integration ...

scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains. Track developments in ML and frontier models, running structured experiments to bring ...

Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross ...

SLAs, KPIs and metrics across modern workplace services Equip operations teams to resolve issues independently through processes, tools and knowledge management (runbooks, automation, decision trees) Act as primary escalation point for critical incidents, complex problems and cross-platform issues beyond operations teams’ scope Remove organisational and procedural barriers ...

Assessment for assigned application estates (1,000+ servers), scoring apps across dimensions from Technical Designs and CMDB data Apply the migration decision tree to assign R‐strategies (Rehost/Replatform/Refactor/Retire/Retain/Relocate) and document rationale in Architecture Decision Records ...

manual activities and opportunities for automation Gather requirements from stakeholders and translate business challenges into scalable solutions Design and implement AI-enabled workflows, decision trees and automation tools Develop prompts, templates and process frameworks to improve operational efficiency Support change adoption through training, documentation and user engagement Measure ...

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 ...

their events get created, which fields flow from where, the known quirks, and what "normal" looks like. Deliver training - live sessions, runbooks, decision trees - pitched at the people supporting live events when you're not online. 4. Complex client issues Sit inside the Support escalation path ...

platform, workspaces, and cabinet structures. Legal Tech & Workflow Logic: Strong background in legal technology, document assembly, and translating complex legal processes into structured decision trees. Problem-Solving Skills: Ability to quickly step into existing systems, audit workflows, and keep projects moving independently. Communication: Excellent stakeholder management skills ...

platform, workspaces, and cabinet structures. Legal Tech & Workflow Logic: Strong background in legal technology, document assembly, and translating complex legal processes into structured decision trees. Problem-Solving Skills: Ability to quickly step into existing systems, audit workflows, and keep projects moving independently. Communication: Excellent stakeholder management skills ...

science best-practice e.g. Git/Docker/cloud deployment KEY REQUIREMENTS: Experience with applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science … detail Ability to work independently and as part of a team Understanding of classical machine learning concepts and principles (e.g. xgboost, regression, decision trees) INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 mins live coding task Stage ...

About us: Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building … Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making. Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market ...

Doing 1. Translate Legal Work into Product Logic Analyse real user conversations (employee-side employment law queries) Identify patterns, edge cases, and decision points Convert legal reasoning into structured workflows (e.g. decision trees, logic flows) 2. Prompts & AI Help design and refine prompts used in legal ...

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 … submit your diversity data in the survey below. SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual ...