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 & Perks - Competitive salary - Participation in company share option scheme - Fast-paced and team-oriented environment where you will be instrumental in the direction of the company - Remote first (with occasional travel for customer meetings and team collaboration) - Life assurance and medical insurance - 25 days holiday per year - Home office setup allowance

Software Engineer (Machine Learning)

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