We’re growing fast and expanding across Europe, and we’re looking for a Machine Learning Engineer to join our engineering team. This is a unique opportunity to work on cutting-edge AI technology that directly impacts the healthcare experience. You’ll work with a talented team to develop and deploy machine learning models that are used in our product to assist doctors and nurses during the consultation based on real time audio streams — from clinical note taking to decision support.

— all while contributing to our mission to improve healthcare delivery. If you're excited by technical challenges, high ownership, and meaningful work: we’d love to meet you.

🔧 What you’ll be responsible for

• Developing, implementing, and optimising machine learning models.
• Collaborating with healthcare professionals to translate their needs into AI-driven solutions.
• Improving model accuracy, speed, and scalability of our speech recognition engine in the context of doctor-patient dialogues.
• Managing the end-to-end machine learning lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
• Monitoring and improving deployed models to ensure high performance and stability.
• Staying up-to-date with advancements in machine learning and health-tech, and bringing innovative solutions to the team.
• Collaborating with cross-functional teams to ensure seamless integration of ML models into Autoscriber’s platform, in a secure, scalable manner according to coding best practices.

👀 What we’re looking for

• Master's degree in Engineering, Computer Science, Data Science, or a related field.
• 4+ years of experience in ML Engineering.
• Deep knowledge of the underlying principles of machine learning algorithms  
• Keen interest in a highly developing field and proficiency in understanding and adopting new research,
• Proven experience as a Machine Learning Engineer or in a similar role, working on production ready code
• Strong proficiency in Python and relevant ML libraries.
• Experience with ML deployment pipelines (AWS, GCP, Azure).
• Experience with large-scale data processing and model optimisation for production systems.
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
• Experience in healthcare and/or HealthTech is a significant plus, or a strong affinity with the field and a desire to contribute to healthcare innovation.

💡 Bonus points

• Knowledge of electronic health records (EHR) systems and healthcare workflows.
• Experience with speech-to-text technologies and voice recognition systems.
• Familiarity with regulations around healthcare data (e.g., HIPAA, GDPR).

🤝 What we offer

• The chance to make a real impact on healthcare and clinicians' daily lives.
• A key role in a fast-growing company that’s transforming healthcare with AI.
• A collaborative, no-ego culture that values autonomy, speed, and ownership.
• Flexible working environment, with hybrid options.
• Competitive salary and meaningful equity package.

Ready to build the future of healthcare?

We’d love to hear from you. Apply via our website or ask us a question via careers@autoscriber.com.

Autoscriber does not appreciate unsolicited contact from recruiters.

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