Machine Learning Engineer - Time Series & Predictive Modelling
Core
Develop and optimize advanced forecasting, anomaly detection, and optimization models using complex sensor and operational data to improve real-world manufacturing performance in vertical farming.
Role type
Senior IC machine learning engineer (time series & predictive modelling)
Builds
Production ML models for time series forecasting, anomaly detection, predictive maintenance, and system optimization
Domain
Ag-Tech / Industrial IoT / Manufacturing automation
Deliverable
production ML models
Required skills
Time series forecasting, statistical and probabilistic modelling, deep learning for sequential data (LSTM, GRU, Transformers), Python, PyTorch, TensorFlow, handling noisy/incomplete sensor data, model validation, multi-modal AI integration
Preferred skills
Industrial IoT/sensor networks, manufacturing/robotics/AgTech, predictive maintenance, operational optimization, Bayesian modelling, MLOps
Technologies
PyTorch, TensorFlow, ARIMA, Prophet, LSTM, GRU, Transformers
Responsibilities
Design, build, and deploy machine learning models for complex real-world systems; Apply statistical and probabilistic modelling techniques to understand system behaviour; Develop deep learning models for sequential and temporal data; Extract actionable insights from large-scale sensor and operational datasets; Evaluate, benchmark, and improve model performance through rigorous experimentation; Collaborate with data engineers to leverage reliable, production-ready datasets; Partner with machine vision engineers to develop integrated multi-modal AI systems; Monitor, maintain, and continuously improve model performance in production