3 of 3 ARIMA Jobs in the UK

clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights. Stakeholder Collaboration: Effective communication with More ❯

practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure, GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning). Familiarity with lower-level development of data pipelines in More ❯

the team. Requirements • Strong hands-on experience in delivering ML solutions, including production-grade computer vision and forecasting models. • Proven expertise in forecasting and time series data handling (e.g., ARIMA, LSTM, temporal convolutional networks). • Proficiency in image and video processing, including segmentation, pose estimation, object detection, and multimodal data fusion. • Experience with generative AI models such as diffusion-based More ❯