Remote Software Engineer (Machine Learning)

About Lightsonic Lightsonic finds water leaks by turning telecoms fibre that's already in the ground into a sensing network. We work with water utilities across the UK and Europe to detect leaks that might otherwise run undetected for months — already saving millions of litres every day, and rising. Backed by strong investment and growing customer traction, we're in an exciting phase of rapid growth and expansion. As an early-stage company with proven technology, we're uniquely positioned to transform how critical infrastructure is monitored, creating a more sustainable and resilient environment.

Who you are Required : Someone excited about creating positive environmental impact through technology and motivated by solving real-world problems that matter Adaptable individual who thrives in a startup environment - getting involved in all aspects of product development, from writing code and testing models to meeting customers and even assisting with on-site leak verification Software engineer with 4+ years’ experience and expertise in Python and SQL Experience designing and building production data pipelines and data-intensive systems Experience working closely with machine learning engineers on model development and deployment Desirable : Direct experience with elements of our technology stack (Azure IoT Edge, Azure Storage, dbt , Apache Iceberg, Trino, Dagster , Dask ) Experience with IoT data processing or edge computing environments Familiarity with time-series data and

acoustic signal processing What the job involves Designing and implementing data and machine learning systems that run from edge devices in the field through to cloud, scaling to hundreds of terabytes of sensor data — with significant ownership over technical decisions Working with complex multidimensional time-series and acoustic data Collaborating with machine learning engineers to train, deploy, monitor , and improve models in production Working on the customer-facing side of the product, from reporting and APIs through to the field apps used to verify leaks on site Taking ownership of production systems, including testing, observability, performance, reliability and troubleshooting Exploring and solving problems where the solution isn't always known upfront — combining engineering with experimentation and real-world feedback Application Process Initial screening interview (20

minutes) Technical interview (90 minutes) Behavioural Interview (60 minutes) Initial interviews will be held via M icrosoft Teams. We prefer to hold the final co-founder meeting in person when possible. Candidates must have the r ight to work in UK or Norway . We'll ask for references at offer stage . Company Benefits