Machine Learning Engineer

Are you excited about using AI/ML to transform heart surgery and cardiac care? Join a fast-growing biotech and medical device startup, where your machine learning expertise will directly improve patient outcomes in cardiology. You’ll work on cardiac imaging devices such as MRI, CT, and ultrasound, as well as AI-powered imaging software and decision support tools that assist surgeons in planning procedures, detecting anomalies, and monitoring patient recovery. This is a unique opportunity to combine technical challenge, creativity, and purpose while helping save lives.

Our client is a rapidly scaling biotech startup focused on revolutionizing cardiac diagnostics and surgical planning through AI-driven imaging innovation. By combining clinical expertise with advanced ML technology, they develop solutions that enhance precision in heart surgery, improve diagnostic accuracy, and support real-time clinical decision-making. Their collaborative, mission-driven culture empowers employees to innovate, experiment, and contribute directly to life-changing cardiac care. The company operates in a flexible, agile environment that encourages knowledge sharing and rapid professional growth.

Key responsibilities

• Develop, deploy, and maintain ML models for cardiac imaging devices and software, including predictive analytics, image reconstruction, segmentation, and anomaly detection.
• Build end-to-end ML pipelines: data preprocessing, model training, evaluation, deployment, and monitoring.
• Collaborate with engineers, data scientists, and cardiac clinicians to translate complex imaging data into actionable insights for surgical planning and patient care.
• Ensure all ML solutions comply with medical device regulations (ISO 13485, MDR, FDA).
• Document model development and validation for regulatory and internal purposes.
• Implement best practices for reproducibility, CI/CD, and MLOps pipelines.
• Work with cloud platforms (AWS, Azure, GCP) for deployment and scalability of cardiac imaging solutions.

Benefits – why work here

• Contribute to AI/ML projects that directly improve heart surgery and cardiac care outcomes.
• Flexible hybrid working options across Europe.
• Competitive compensation package and potential equity opportunities.
• Join a collaborative, fast-paced, and mission-driven startup environment.
• Rapid professional growth and opportunities to shape the future of cardiac imaging technology.

Your consultant

As a Recruitment Consultant at Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with roles where cutting-edge technology meets life-saving healthcare innovation.