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 & 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