National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Lightsonic
London
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Bioimage Data & Agentic Systems

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

About Lightsonic

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.


Who you are

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)


What the job involves

  • 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


Salary range

£70,000 - £120,000 base salary

This position will also include equity. This is a best faith estimate of the base salary range for this position. Multiple factors including experience, education, level, and location are considered when determining this.


Company benefits & perks

  • 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


Data privacy

By applying for this role, you consent to the processing of your personal data as outlined in our Recruitment Privacy Notice. We are committed to handling your information securely and in accordance with UK and EU GDPR regulations.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.