Software Engineer (Machine Learning)

About the role

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 willbe held via Microsoft Teams.We prefer to hold the final co-founder meeting in person when possible.Candidates must have the right 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 Originally posted on Himalayas