At a Glance
- Tasks: Lead teams to develop AI solutions for ultrasound products and enhance machine learning tools.
- Company: Join GE HealthCare, a leader in innovative medical technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in healthcare by developing cutting-edge machine learning solutions.
- Qualifications: Degree in a technical field and experience in machine learning required.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Machine Learning Engineer role at GE HealthCare.
Overview
The GE HealthCare Ultrasound business consists of ultrasound consoles, handheld ultrasound devices, and ultrasound IT solutions across five market segments. The role focuses on developing AI solutions for ultrasound products to create additional value for customers and patients, supporting both organic and inorganic growth.
Responsibilities
- Lead small development teams, translating customer requirements into product specifications.
- Develop ML models for a variety of clinical use cases, including:
- Development of model training pipelines.
- Curation and construction of datasets suitable for model training.
- Analyze the performance of ML models and characterize their performance.
- Prepare technical documentation describing ML models, consistent with GE’s quality management procedures.
- Work effectively with other ML team members and cross‑functional stakeholders, including clinical, regulatory, and other domains.
- Develop, support, and enhance prototypes and product concepts.
- Develop, support, and enhance internal tools and services for machine learning.
Qualifications
- A 2.1 or 1st degree in a technical discipline, or an MSc or PhD in a relevant field.
- Some experience applying machine learning in a commercial setting or a PhD/MSc with a focus on machine learning.
- Excellent programming and software engineering skills; comfortable working with data in multiple formats, both structured and unstructured.
- Proficiency in Python (ideally PyTorch library) and use of Docker containers.
Desired Skills
- A good understanding of machine learning and its use in solving complex real‑world problems.
- Skilled in the use of Python for machine learning, and ideally using PyTorch.
- A solid understanding of image processing and analysis techniques for noisy data.
- A solid understanding of software engineering methodologies (e.g., version control, bug tracking, software development practices).
- The ability to comfortably work with large volumes of data.
- Experience in medical imaging, ideally ultrasound.
- Experience with development under ISO13485.
- Excellent interpersonal and communication skills (both written and verbal) with all levels of an organization; able to build good working relationships.
- Self‑starter with minimal direction, proactive and enthusiastic.
- Strong team player – collaborates well with others to solve problems and incorporates input from various sources.
- Exceptional organizational skills and attention to detail.
- Demonstrated experience taking design responsibility for ML developments.
Inclusion and Diversity
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Relocation Assistance
No relocation assistance provided.
Machine Learning Engineer employer: GE Healthcare
At GE HealthCare, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI solutions in the medical imaging field. Located in a vibrant environment, we provide our team with the resources and support needed to make a meaningful impact on healthcare, ensuring that every contribution is valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to machine learning. You never know who might have a lead on that perfect job at GE HealthCare.
✨Show Off Your Skills
Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, make sure to highlight your work with Python and any cool models you've developed. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key, so show them what you’ve got!
✨Apply Through Our Website
Don’t forget to apply directly through the GE HealthCare website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of their team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience with ML models, programming skills, and any projects that showcase your ability to solve real-world problems. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our needs at GE HealthCare. Be sure to mention any specific experiences that relate to ultrasound or medical imaging.
Showcase Your Projects:If you've worked on any interesting ML projects, make sure to include them in your application. Whether it's a personal project or something from your studies, we love seeing practical applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, it’s super easy! Just follow the prompts and make sure all your documents are uploaded correctly.
How to prepare for a job interview at GE Healthcare
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain how you developed them, the datasets you used, and the results you achieved. This shows your hands-on experience and understanding of the technical aspects.
✨Showcase Your Teamwork Skills
Since this role involves leading small development teams and collaborating with cross-functional stakeholders, be ready to share examples of how you've successfully worked in a team. Highlight any challenges you faced and how you overcame them together.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss specific real-world problems you've solved using machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions made a difference.
✨Familiarise Yourself with GE HealthCare's Values
Research GE HealthCare and understand their commitment to inclusion and diversity. Be ready to discuss how your values align with theirs and how you can contribute to a positive workplace culture.
