Jack & Jill
Geospatial AI Engineer (£90k + Equity) at Samudra Oceans Limited
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
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Job Title
Geospatial AI Engineer
Salary
£90k + Equity
Company Description
Samudra Oceans Limited is a London-based ocean-tech startup backed by the European Space Agency and Innovate UK, building the intelligence layer for the blue economy. They combine autonomous marine sensors with satellite data via their NIRA platform to provide real-time operational insights for ports, offshore energy, and coastal infrastructure.
Job Description
As a Geospatial AI Engineer at Samudra Oceans Limited, you will build ML functions fusing satellite remote sensing data with in-situ sensor measurements. You'll own the geospatial AI pipeline end-to-end, creating analytics that transform 50TB+ of proprietary data into actionable intelligence for global customers across the maritime and energy sectors.
Location
London, UK
Why this role is remarkable
- Work with a unique 50TB+ proprietary ocean dataset that is impossible to replicate, providing a distinct competitive advantage in the blue economy.
- Join a high-impact climate tech startup that has won prestigious awards including the EarthShot Prize and the Wilkes Climate Prize.
- Directly influence the intelligence layer of ocean monitoring, moving beyond outdated research vessels to real-time, AI-driven compliance and operational insights.
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What You Will Do
- Fuse satellite remote sensing data with ground-truth sensor measurements to benchmark and validate ocean parameters on the NIRA dashboard platform.
- Build and deploy automated anomaly detection and geospatial analytics tools into a production environment, moving models from notebooks to live features.
- Own the end-to-end geospatial AI pipeline, from raw data processing to developing the ML functions that power real-time operational alerts for customers.
The ideal candidate
- Strong background in satellite remote sensing and geospatial analysis using industry-standard libraries such as GDAL, rasterio, xarray, or Google Earth Engine.
- Proven experience as a Production ML Engineer, with a track record of shipping models in a commercial product environment using Python.
- A startup-ready mindset with the ability to work across the full stack and navigate ambiguity while scaling ML capabilities from the ground up.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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