
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading space technology company in the UK seeks a Machine Learning Engineer to enhance its spacecraft fleet with automated, ML-driven solutions. You will develop models for anomaly detection and forecasting, and build data analysis pipelines. Candidates must be proficient in Python and ML tools, with a strong background in machine learning. The role allows for flexible work arrangements across locations. Competitive compensation and a dynamic team environment await you.
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…
The CTO division is where Open Cosmos technology comes to life. Covering engineering, product development, and technical innovation, the team designs, builds, and operates the satellites, systems, and platforms that make our missions possible. It’s a highly collaborative environment where ideas become real hardware, software, and data solutions that deliver impact from space.
We’re looking for a Machine Learning Engineer to help build the intelligent automation layer behind Open Cosmos’ growing spacecraft fleet.
Working within the Mission Operations Team you’ll design and deliver ML-driven solutions that power anomaly detection, forecasting, operational insights and automated decision‑making.
This is a hands‑on role focused on building models, pipelines and inference systems that plug directly into mission control and production automation tools.
For this role you can be based in any of our locations.
To apply, you must have the legal right to work in your chosen location.
Please submit your application and CV in English.