Help us make machine learning work where it really matters. 

At Helin, we build technology that runs where dashboards can’t — out in the field. From offshore drilling platforms to smart energy systems, our clients rely on real-time data, edge computing, and resilient infrastructure to keep people safe and operations running. 

That’s where you come in. 

We’re looking for a backend systems engineer who’s excited to work at the intersection of ML, cloud, and edge. Not to train fancy models in the lab — but to make sure those models actually run in places with spotty connectivity, high stakes, and zero room for error. 

You’ll be joining a small, sharp team that’s building the backend systems and tools that power real-time AI across energy and industrial sites. You’ll solve problems like: 

• How do we remotely deploy ML updates to rigs in the North Sea? 
• What does observability look like when you can’t SSH into a machine? 
• How do we package, version, and test ML applications for field rollout? 

If you like messy, high-impact engineering and want to build systems that move from dev to dock without drama — this is your playground.