Applied AI Engineer: Space & EO (Data)

Aim high, go beyond!

At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge?

Then read on...

Working in our Data Division

At Open Cosmos, our Data division transforms satellite data into meaningful insights that drive real-world impact.

The team delivers all data products generated by Open Cosmos and its partners, curates and develops DataCosmos (our geospatial data platform) and builds integrations that make satellite imagery easy to access and act on.

We’re now hiring an Applied AI Engineer: Space & EO (Data) to join the Data team at Open Cosmos.

You’ll be building practical AI applications using satellite and Earth Observation data, from computer vision models through to LLM-driven workflows, helping turn real customer problems into deployable solutions.

What will you be doing?

Designing and delivering AI-powered pilots and applications using Earth Observation data

Building computer vision models for detection, segmentation, and classification tasks

Developing AI workflows that combine EO data with LLM orchestration and reasoning

Implementing modern AI approaches including RAG, tool-calling, and multi-step workflows

Integrating AI capabilities into the DataCosmos platform using scalable APIs and architecture

Supporting deployment, containerisation, and production-readiness of AI solutions

Collaborating with commercial teams, customers, and partners to solve real-world challenges

Rapidly iterating on ideas and pilots based on feedback and evolving requirements

Contributing reusable code, shared AI components, and best practices across the Data team

What You’ll bring

Strong understanding of applied AI and machine learning techniques

Ability to build computer vision solutions for image-based data

Understanding of LLM systems, orchestration workflows, and retrieval-based approaches

Ability to build end-to-end AI workflows and pipelines

Familiarity with APIs, scalable systems, and AI integration into larger platforms

Knowledge of containerisation and deployment concepts such as Docker