Careers at Aisthesis Medical

Check out our open positions below and find your next opportunity.

Mid

Full-Stack Developer

Junior

Data Science Intern

Junior

Software Engineering Intern

Why Join Us

Join a team dedicated to using clinical AI to solve one of healthcare's most critical challenges: sepsis. We offer a chance to work on a platform that directly saves lives while mastering cutting-edge machine learning and secure, hospital-grade software.

“I joined for the mission and stayed for the team. Clear goals, high standards, and room to grow—without the ego.”

Machine Learning Engineer

Aisthesis Medical is on a mission to revolutionize acute care with AI-powered predictive solutions

By combining clinical data with state-of-the-art machine learning, we aim to transform how healthcare professionals detect and manage life-threatening conditions like sepsis and multi-organ failure. We're always looking for talented people who are passionate about making a real impact in healthcare.

Join our innovative team where passion meets purpose, and turn your ideas into reality as we revolutionize the future together.

“Ownership isn’t a slogan here—you get it on day one. If you like solving hard problems with kind people, you’ll fit.”

Software Engineer

One team, one mission

Innovation

We are relentlessly curious, constantly challenging the status quo to discover and implement cutting-edge AI and engineering solutions.

Diversity

We value all differences and perspectives, knowing that a diverse, inclusive team is essential to building unbiased, clinically effective AI.

Integrity

We operate with the highest ethical standards, earning the trust of clinicians through rigorous data governance and validation.

Boldness

We empower team members to take full ownership, meet ambitious challenges, and drive impact from concept to clinic.

Commitment

We are devoted to our shared mission, prioritising patient safety and making a measurable difference in acute care outcomes.

Collaboration

Our strength lies in our eagerness to learn from one another, sharing knowledge across clinical, data science, and engineering domains.

Ready to join the team?