10 of 10 Random Forest Jobs in the UK

communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More ❯

forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of machine learning algorithms including but not limited to Logistic Regression, Random Forest, XGBoost. Familiarity with modern deep learning approaches such as BERT, LSTM, and concepts in NLP and Transfer Learning. Reasonable Adjustments: Respect and equality are core values to More ❯

machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning More ❯

AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for More ❯

industry experience in software engineering or machine learning and data science Hands on experience with building enterprise grade machine learning and data platforms Familiarity with common machine learning algorithms (random forest, XGBoost, etc.) Preferred knowledge of advanced ML techniques (neural networks/deep learning, reinforcement learning, active learning, data augmentation and GANs etc.) Experience with high-level programming More ❯

multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical methods for high dimensional data (e.g. imaging, digital, genetics or -omics data). Strong programming skills in R More ❯

discuss further opportunities within/outside the project Ensure documentation for all projects Knowledge of stats, dashboarding, RCA, Business Analytics, and common modeling algorithms such as Regression, Decision Trees, Random Forest, K-means, etc. Excellent communication skills External Skills And Expertise: SQL Python A/B Testing or Hypothesis Testing Marketing Analytics/Customer Journey Analytics/Market More ❯

discuss further opportunities within/outside the project Ensure documentation for all projects Knowledge of stats, dashboarding, RCA, Business Analytics, and common modeling algorithms such as Regression, Decision Trees, Random Forest, K-means, etc. Excellent communication skills External Skills And Expertise: SQL Python A/B Testing or Hypothesis Testing Marketing Analytics/Customer Journey Analytics/Market More ❯

discuss further opportunities within/outside the project Ensure documentation for all projects Knowledge of stats, dashboarding, RCA, Business Analytics, and common modeling algorithms such as Regression, Decision Trees, Random Forest, K-means, etc. Excellent communication skills External Skills And Expertise: SQL Python A/B Testing or Hypothesis Testing Marketing Analytics/Customer Journey Analytics/Market More ❯