Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our Software and ML Engineering team at Gubra. In this role, you will build and scale machine learning infrastructure and MLOps capabilities for scientific automation.

Your Role

You will collaborate closely with software engineers, other ML engineers, data scientists, and scientific domain experts within peptide discovery to accelerate our drug discovery initiatives.

Your primary responsibilities will include:

• Collaborate with domain experts to develop ML models for generative peptide design and peptide property prediction.
• Develop and maintain reusable ML pipelines, tools, and infrastructure that accelerate model development and deployment within peptide discovery. This includes automating model training, CI/CD, and serving/monitoring of models in production.
• Establish flexible pipelines, leveraging cloud or hybrid infrastructure to support large-scale model training and high-throughput inference.
• Partner with data scientists and scientific stakeholders to identify high-impact opportunities for ML and ensure our solutions deliver value to both research teams and operational workflows.
• Promote high standards in ML engineering including version control, testing, code reviews, and model governance. Help establish common MLOps best practices like reproducible research, model and data versioning, and effective monitoring. Mentor junior engineers and data scientists, fostering an environment of knowledge sharing and continuous improvement.

What success looks like

As an ML Engineer, you are a key enabler of Gubra’s digital strategy. Success in this role means:

• Drug Discovery teams can rapidly prototype, train, and deploy new models with minimal friction, creating faster discovery cycles and reducing the time from idea to insight.
• Our scientific groups rely on robust, automated ML pipelines that consistently deliver reproducible results and adapt to new experimental data.
• The team and organization have adopted modern MLOps practices, benefiting from the compounding impact of shared ML infrastructure, and are recognized for integrating advanced AI into scientific research effectively.

Your Profile

We welcome candidates with diverse backgrounds and experiences. We promise that you will learn from us, and we are looking forward to learning from you.

Your qualifications should include:

• A M.Sc. or Ph.D. in Computer Science, Engineering, or a related field, with 5+ years of hands-on experience in machine learning and software engineering, including building or operating production ML systems.
• Proficiency in Python and experience with modern ML frameworks. Familiarity with CI/CD (e.g., GitHub Actions) for ML pipelines and with cloud or hybrid infrastructure for model deployment.
• Strong foundation in machine learning theory and hands-on experience with state-of-the-art models, including deep understanding of model architectures and advanced fine-tuning techniques.
• Excellent communication and teamwork skills. Ability to work closely with scientific domain experts and mentor colleagues in ML engineering and coding best practices.
• Exposure to life sciences or biotechnology is a strong plus (e.g., understanding of peptides, biochemistry, drug discovery processes), but not required. We value curiosity and the ability to quickly learn about new scientific domains as needed.

About the Software and ML Engineering team

Our team focuses on automating and scaling scientific processes and research studies at Gubra. You will join skilled ML engineers and software developers at Gubra HQ in Hørsholm, on the edge of Greater Copenhagen.

You will be part of shaping the foundation of ML-driven drug discovery and scientific innovation at Gubra. You’ll play a crucial role in bridging cutting-edge ML with our mission to improve health and scale our impact on science and society. If you’re passionate about building robust ML systems and applying them to real-world scientific challenges, we would love to hear from you.

Contact and application

Please apply no later than August 9, 2026 by uploading your cover letter, resume (in English), and relevant diplomas on our website. Interviews will be conducted on a rolling basis.

If you have any questions about the position, you are very welcome to contact Manager, Anders Nielsen at [email protected].

We are looking forward to receiving your application.

About Gubra

Gubra is a disease-agnostic techbio company specialized in peptide-based drug discovery and development as well as preclinical contract research services striving for excellence at all levels. We insist on doing things efficiently – and often differently - to reach the results we aim for. Our vision is to become leaders in the path towards a more sustainable and healthier world. We do that by facilitating the discovery of new medicine, and by acting and inspiring others to fight the ongoing climate and biodiversity crises.

Gubra’s activities are focused on the early stages of drug development and are organised in two main highly synergistic business areas: Biotech and CRO Services. We generate our revenue by performing research for life science companies as well as by partnering projects from our discovery and development pipeline.

Our therapeutic focus is within metabolic and fibrotic diseases, and we specialize in in vivo pharmacology, ex vivo assays, drug profiling, histology, stereology and whole brain and organ imaging. In addition, we offer a full palette of advanced transcriptomics. Our ML/AI-driven peptide drug discovery platform streaMLine enables us to rapidly develop a peptide hit into a non-clinical candidate ready for development. Through a constant focus on high quality, scientific excellence, speed, and solid teamwork we have established ourselves as a highly professional and competent partner in the market.

People are our greatest asset, and our team consists of around 300 employees of which many are located in Hørsholm, Denmark. The mix of people from different cultures and educational backgrounds combined with our entrepreneurial mindset have greatly impacted our working environment, which is characterized by entrepreneurial drive, scientific curiosity, and teamwork – we join forces!