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
Remote Software Engineer (Machine Learning) employer: Lightsonic
Lightsonic is an exceptional employer for those passionate about leveraging technology to create a positive environmental impact. With a competitive salary, participation in a share option scheme, and a remote-first work culture, employees enjoy a fast-paced, team-oriented environment where they can significantly influence the company's direction. The opportunity for personal and professional growth is amplified by the chance to work on innovative projects that address real-world challenges in water conservation across the UK and Europe.
