GE Healthcare Logo

GE Healthcare

Principal Machine Learning Engineer

Reposted 10 Days Ago
Remote
Hiring Remotely in USA
Expert/Leader
Remote
Hiring Remotely in USA
Expert/Leader
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.
The summary above was generated by AI
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. 

#LI-MG1

#LI-HYBRID

Additional Information

Relocation Assistance Provided: No

Top Skills

Aws Eks
Python
PyTorch
Weights & Biases

Similar Jobs

4 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
236K-413K Annually
Senior level
236K-413K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role focuses on building cloud-based AI/ML solutions, leading technical directions, ensuring product security, and complying with AI regulations, while collaborating with various teams.
Top Skills: AIGoKubernetesMlPython
19 Days Ago
Easy Apply
Remote
2 Locations
Easy Apply
221K-300K Annually
Senior level
221K-300K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.
Top Skills: CudaPythonPyTorchScikit-LearnTensorFlowXgboost
21 Days Ago
Remote
2 Locations
265K-320K Annually
Expert/Leader
265K-320K Annually
Expert/Leader
Software • Defense
Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.
Top Skills: AIData GovernanceInformation RetrievalLlmMlNatural Language Processing

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account