9 of 9 Decision Tree Jobs in the UK

Skills Required AIML, Machine Learning & Data Science Large Language Models (GPT, Claude), Generative AI, RAG Agentic AI, CoPilot, MCPs AIML Algorithms (Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Experience building AIML solutions for test generation, prioritization, defect triage, reporting, framework migration Strong

tools, GitHub Copilot, MCPs . Advanced Python skills – NLTK, NumPy, Pandas, Scikit-learn. Good understanding of AI/ML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). Experience developing AI-enhanced test automation solutions. Solid grasp of SQL . Strong understanding of SDLC, QA processes & automation frameworks

test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real

AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-...

charters, and governance principles. Review and integrate existing KM tools, repositories, and materials to create a unified and coherent KM approach. Develop clear decision trees and process maps to guide users on what knowledge to store, how to classify it, and where it should reside. Build an engagement

charters, and governance principles. Review and integrate existing KM tools, repositories, and materials to create a unified and coherent KM approach. Develop clear decision trees and process maps to guide users on what knowledge to store, how to classify it, and where it should reside. Build an engagement

campaigns and start-of-production phases Supporting the cascade of key characteristics and critical items from design and engineering Driving APQP deliverables including decision trees, applicability matrices, and business assessments Professional Growth This role offers the opportunity to develop expertise in: Project management Advanced Product Quality Planning (APQP

Production (SoP) phases Support Key Characteristic (KC) & Critical Item (CTI) cascade from Design & Manufacturing Engineering functions Support APQP activities including Decision Tree's (DT), Applicability Matrix (AM), and Key Business Deliverable (KBD) assessments as both deliverable owner & assessor If you are interested in applying for this position

AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation … solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelors degree in Computer Science or related field