Remote software engineer (machine learning)

Company: Lightsonic
Apply for the Remote software engineer (machine learning)
Location: Saltburn by the Sea
Job Description:

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 Io T Edge, Azure Storage,  dbt , Apache Iceberg, Trino,  Dagster ,  Dask )   

Experience with Io T 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  

…

Posted: October 3rd, 2026