Principal Machine Learning Engineer

Reposted 21 Days Ago
Hiring Remotely in USA
Remote
Expert/Leader
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
As a Principal Machine Learning Engineer, you will lead a team in developing machine learning solutions for ultrasound applications, mentor engineers, and ensure high-quality regulatory-compliant product delivery.
Summary Generated by Built In
Job Description SummaryAs Principal Machine Learning Engineer, you will have overall design authority for a group of approximately 20 engineers, including 4 machine learning engineers, developing and evaluating machine learning solutions for clinical ultrasound applications. You will lead the technical direction, mentor team members, and ensure delivery of robust, high-impact AI products that improve patient care. This is a hands-on technical leadership role focused on innovation and excellence.
GE HealthCare is a leading global innovator in medical technology and digital solutions, dedicated to advancing precision care and improving lives. Our ultrasound systems, powered by cutting-edge AI, help clinicians deliver faster, more accurate diagnoses and better patient outcomes worldwide. Every day, our technology empowers healthcare professionals to make a real difference – expanding access to high-quality imaging and supporting healthier communities.
Our Cardiff site is a European Centre of Excellence for AI ultrasound development. The team is high-performing, close-knit, and collaborative, driving innovation at the heart of GE HealthCare’s global ultrasound portfolio.

Job DescriptionResponsibilities
  • Oversee the development, support, and enhancement of product lines (e.g., SonoLyst), prototypes, and internal tools.

  • Provide technical leadership and design authority for the development, evaluation, and deployment of machine learning solutions for ultrasound imaging.

  • Mentor and support the professional growth of engineers and scientists within the team.

  • Work within GEHC’s global ISO13485 quality management system to develop medical devices for regulatory submission (e.g., to FDA, CE).

  • Collaborate with cross-functional teams (console engineering, clinical, regulatory).

  • Identify and protect intellectual property.

  • Engage with customers and external partners as needed, both pre- and post-sale.

  • Contribute to project documentation and process improvement initiatives.

Qualifications
  • PhD or equivalent experience in a technical discipline (e.g., Computer Science, Engineering, Mathematics).

  • Significant experience applying machine learning to complex problems in a commercial and ideally regulated setting.

  • Excellent interpersonal and presentation skills; able to communicate complex concepts to technical and non-technical audiences.

  • Demonstrated ability to mentor and develop others.

  • Collaborative, proactive, and able to work independently or as part of a team.

Essential Technical Skills

  • Strong proficiency in Python and PyTorch for machine learning.

  • Up-to-date knowledge of modern ML image models (e.g., vision transformers, ConvNeXt, diffusion models such as Stable Diffusion, and foundation models).

  • Solid understanding of image analysis techniques for noisy data.

  • Strong coding skills and experience with version control and bug tracking tools.

  • Experience working within quality management systems and regulated environments.

Desirable Skills
  • Experience with cloud-based ML infrastructure (e.g., AWS EKS, Rancher).

  • Familiarity with ML experiment tracking tools such as Weights & Biases.

  • Track record of innovation and IP generation.

  • Experience in agile development environments.

  • Ideally you will have worked within medical imaging in a regulated environment:

  • Experience with medical image analysis and DICOM.

  • Familiarity with regulatory standards (ISO13485, EU AI act).

  • Knowledge of regulatory pathways for medical devices (FDA, CE).

  • Experience collaborating with clinical teams.

We would prefer this to be a Cardiff office-based role, but will also consider hybrid working.

Inclusion and Diversity 

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. 

Behaviours 

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.  

Total Rewards 

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. 

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Additional Information

Relocation Assistance Provided: No

Top Skills

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Python
PyTorch
Weights & Biases
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The Company
Chicago, IL
50,282 Employees
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.

As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.

With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.

We embrace a culture of respect, transparency, integrity and diversity.

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