AI and ML Systems Engineer

Job title - AI andamp; ML Systems Engineer Our client, a Cambridge based AI and ML Consultancy have an opportunity for an AI andamp; ML Systems Engineer to join them. The role is mainly remote working with only one day per week when the AI/ML Engineer is required to be on site in Cambridge. Annual remuneration: Our client is willing to consider each application depending on number of years'' experience About the role: Our client is seeking a versatile AI/ML andamp; Systems Engineer to lead the architecture, machine learning development, and cloud integration for a next-generation asset monitoring and predictive platform. In this role, The AI/ML Systems Engineer will bridge the gap between complex time-series telemetry, geospatial data feeds, and predictive domain models. The AI/ML Systems Engineer will be responsible for building robust data and machine learning pipelines, integrating multi-source sensor streams, and developing Real Time visualisation systems to deliver actionable structural safety insights. This position offers the opportunity to take end-to-end ownership of scalable ML systems, from multi-modal data ingestion and distribution modelling to production-grade visualisation dashboards. Must-have experience: ? Probabilistic Time Series Forecasting: Experience using probabilistic time series methods (eg, Bayesian, PyMC, Amazon DeepAR) on small or scarce datasets for distribution prediction. ? Data Lake andamp; DBaaS Integration: Proven ability to build scalable ..... full job details .....