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 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