14 of 14 Permanent Decision Tree Jobs in the UK

Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously ...

familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented ...

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 ...

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 ...

with the PyData stack (pandas, numpy, scikit-learn, matplotlib etc.). ● Knowledge of machine learning and statistical models, e.g. linear/logistic regression, decision trees, random forest, unsupervised methods etc. ● Basic knowledge of relational databases and SQL. ● Experience conveying complex information through Data Visualisation. Nice to have: ● Experience ...

with the PyData stack (pandas, numpy, scikit-learn, matplotlib etc.). ● Knowledge of machine learning and statistical models, e.g. linear/logistic regression, decision trees, random forest, unsupervised methods etc. ● Basic knowledge of relational databases and SQL. ● Experience conveying complex information through Data Visualisation. Nice to have: ● Experience ...

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-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candi... ...

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 ...

cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact, collaborative environment. … journey workflows, including application, screening, interview scheduling, and hiring stages. • Configure case types, stages, steps, SLAs, escalations, and routing rules. • Develop and maintain decision tables, decision trees, and declarative rules for eligibility checks, notifications, and dynamic forms. • Implement and configure Pega connectors and services to integrate ...

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. • Bachelor’s degree in Computer Science or related ...

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 ...

Edison), ensuring content governance, version control, and compliance with internal and regulatory standards. Oversee the creation, review, and update of knowledge articles, FAQs, decision trees, and training material for a wide range of business areas, ensuring information is current, accurate, and easily accessible. Implement and manage structured workflows … develop, and manage innovative programmes and solutions that meet organisational needs, using data and vendor selection processes (RFP) as required. Champion data-driven decision making and ensure actionable insight is shared with key leadership and executive stakeholders. Manage the team of knowledge champions in various locations. Knowledge champions ...