Senior Machine Learning Engineer
In short
Senior Machine Learning Engineer role. Focus on image data analysis from a new industry, applying medical project know-how. Requires Python, PyTorch, NumPy, SciPy, scikit-learn, Pandas, OpenCV, 3D/4D/nD data processing, GPU processing, MLOps, and AWS. Hybrid work, professional development budget, and health insurance offered.
Keywords
AI-written summary based on the listing content.
Who are we looking for?
We are looking for a Senior Machine Learning Engineer to join our team.
On a daily basis, you’ll work with Senior Machine Learning Engineers, a Machine Learning Architect, and a client based in the U.
S. About the project: We’re applying our know-how and experience from medical projects to image data from a completely different industry—a major challenge, but also an incredibly interesting project in which we’ve already achieved significant success! :)
Technology stack
- Python
- Pytorch, Numpy,
- SciPy scikit-learn
- Pandas
- OpenCV
- 3D/4D/nD data processing
- GPU processing
- MLOps (ML
Flow or Weights and Biases)
- AWS (batch jobs, SageMaker AI, EC2, S3, EFS, CloudWatch etc.)
- Nice to have: ITK/VTK/PyVista, jupyther notebook
What will You find here?
- fascinating projects—you can have a real impact on people’s health and lives,
- high technical standards in our projects—you’ll really spread your wings here,
- great people with a proactive approach to work,
- events and team-building activities—we enjoy spending time together😊,
- a professional development budget,
- group insurance,
- medicover health insurance,
- hybrid work arrangements and flexible hours,
- the opportunity to collaborate with the scientific community on an ongoing basis and publish in scientific journals
About the Company:
At Graylight Imaging, we develop technologies for the medical field, with a particular focus on analysing medical imaging studies. In addition to commercial projects, we conduct our own R& D, building machine learning algorithms for cardiology. As a member of our team, you’ll contribute to solving problems that no one has solved before, with the goal of tangibly improving people’s health and lives.
| Published | 2026-10-07 |
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