Machine Learning Engineer

Lightsonic is building the future of smart infrastructure monitoring through ML-powered solutions that integrate with urban technology stacks. Our disruptive technology helps preserve and optimize natural resources, reduce carbon emissions, and protect critical infrastructure, starting with our innovative approach to water leak detection.

Following recent investment and strong 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.

Required:

• Someone excited about creating positive environmental impact through technology and motivated by solving real-world problems that matter
• Team player who thrives in collaborative environments, working effectively with both technical and non-technical stakeholders
• Adaptable individual who embraces the dynamic nature of a startup, adjusting to evolving objectives and enjoying direct interaction with our customers
• Engineer with 3+ years’ experience building and deploying supervised machine learning algorithms using time series data
• Professional with a Bachelor's degree or higher in a STEM field (Computer Science, Engineering, Mathematics, Physics, or related technical discipline)
• Strong coder with proficiency in Python and SQL who is comfortable working in a cloud environment
• Individual with experience in MLOps practices (model deployment, monitoring, versioning) and data preprocessing techniques for handling noisy or incomplete data
• Applicants must have the legal right to work in the UK or Norway, as applicable to the role location.

Desirable:

• Previous experience working with real-time data / IoT data / distributed fibre optic sensing data
• Previous acoustic data processing experience
• Direct experience with elements of our technology stack (Azure Cloud, DBT, Apache Iceberg, Dask, Pytorch, Dagster)
• Experience solving industrial problems (predictive maintenance, control systems, etc)

• As one of our first technical hires, you will have complete ownership of all our machine learning processes
• Successful candidates will need to collaborate closely with our customers to deeply understand the impact and effectiveness of our predictions and continuously improve our product with this information
• You’ll need to provide thought leadership throughout all phases of the data lifecycle, from data exploration and visualization to reporting, automation and continuous model improvement
• We work with complex, multi-dimensional datasets and successful candidates will need to continuously innovate and problem solve to extract maximum value from this data
• Your work will directly impact how water utilities detect and prevent pipeline leaks, creating tangible environmental and societal benefits
• Successful candidates will directly impact the future of the company and sharing in its success

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company
• Remote first (with travel to customer sites 1-2 days per week)
• Life assurance and medical insurance
• 25 days holiday per year
• Home office setup allowance
• Eligible for company ESOP scheme