Senior Machine Learning Engineer 

Unumed believes in a world where technology allows scarce healthcare resources to reach more patients with better care. To realize this vision, we developed Unumed HMS, a smart Hospital Management System based on a modern cloud native architecture. Unumed HMS is already being used to manage 30+ hospitals in 6 different countries in Africa and Asia, and we are planning an expansion to many other markets (including Europe). 

We are seeking a seasoned Machine Learning Engineer to join our AI and Data team. In this role, you will play a pivotal part in the development and implementation of AI algorithms and business intelligence solutions, that use the extensive clinical and financial data collected in our system to revolutionize how healthcare resources are utilized and patient care is delivered.  

Your main focus will be in our medical imaging initiative where, in collaboration with the AI Centre at the University of Copenhagen and radiologists from Rigshospitalet, we are building an AI decision support system for chest x-ray analysis. This system aims to assist radiologists by optimizing workflows and enhancing diagnostic precision. Your expertise will drive innovation, transforming medical imaging and improving healthcare delivery.  

About the position 

Our AI and Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale the next generation of intelligent features in our hospital management system. You will be reporting to Marco, our Chief Data Officer, and will work closely with the broader engineering organization both on the x-ray project and on other ML/data-related features in Unumed HMS. 

Your main responsibilities will be: 

• Be in charge of our MLOps, focusing on reproducibility, testability and seamless model deployment 

• Improve our ML models and training infrastructure to allow for faster experimentation 

• Build our model monitoring infrastructure 

• Build and maintain internal tools that facilitate data labelling and data analysis 

• Extend and scale the analytics and business intelligence functionalities in Unumed HMS 

• Project manage the delivery of research with the University of Copenhagen 

Ideally, you bring the following technical skills... 

• Expert knowledge of the Python programming language 

• Strong software development skills (including git, testing frameworks, documentation) 

• Proven track record of conceptualizing, building, and deploying machine learning applications to address real-world challenges 

• Proficiency in MLOps pipelines and CI/CD tools (e.g. mlflow, jenkins) 

• Experience with at least one deep learning framework (e.g. PyTorch, Tensorflow) 

• Familiarity with cloud platforms like AWS, Google Cloud, or Azure 

• Hands-on experience with Docker 

• Familiarity with Python’s data science stack (numpy, pandas, duckdb, ..) 

• Knowledge of relational/non-relational databases 

As a person, you…  

• Have 4+ years of experience working as a Machine Learning Engineer or similar role 

• Have university degree in computer science or machine learning 

• Are structured and able to prioritize multiple projects  

• Have willingness and demonstrated ability to learn about new technologies and industries  

• Bring a positive attitude and new perspective 

• Are a skilled communicator 

Join us 

We encourage individuals from all backgrounds to apply, so please reach out even if you believe you only cover 70% of the requirements. You will have ample opportunities to learn the rest! 

The position is full-time and starts as soon as possible. We offer a competitive salary and company benefits. We have an office in the city center of Copenhagen and follow a hybrid work model with flexible working hours. 

Want to have a life-changing impact and join the team that is empowering the human in healthcare? Click the 'Apply' button!