3 of 3 Random Forest Jobs in England

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 ❯

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 ❯

technical tasks. Familiarity with Agile methodologies and experience working in Agile teams. Key Technical Skills Python (Flask/FastAPI, OOP, unit testing). Machine learning model experience (Neural networks, Random forests etc.). Terraform or similar Infrastructure as Code (IaC) tools. GCP, AWS, or Azure. Docker and containerised deployments. CI/CD pipelines. Git based development. SQL. Cloud/ More ❯