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- 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.
- Why this job: Make a real impact in healthcare by developing cutting-edge machine learning models.
- Qualifications: Degree in a technical field and experience in machine learning required.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Machine Learning Engineer role at GE HealthCare.
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 crossâfunctional 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.
- 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.
- A good understanding of machine learning and its use in solving complex realâworld 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.
- Selfâstarter with minimal direction, proactive and enthusiastic.
- Strong team player â 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.
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.
No relocation assistance provided.
Machine Learning Engineer in London employer: GE Healthcare
Contact Detail:
GE Healthcare Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Machine Learning Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current GE HealthCare employees on LinkedIn. You never know who might give you the inside scoop on job openings or even refer you directly!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to medical imaging or ultrasound. This will not only demonstrate your expertise but also make you stand out during interviews.
â¨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre genuinely interested in joining the GE HealthCare team. Letâs get you that Machine Learning Engineer role!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application đŤĄ
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.
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 skills align with GE HealthCare's mission. Donât forget to mention any experience in medical imaging or ultrasound!
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, demonstrating your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. Itâs straightforward and ensures your application goes directly to the right team. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at GE Healthcare
â¨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.
â¨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.
â¨Demonstrate Your Problem-Solving Abilities
Prepare to discuss specific real-world problems you've solved using machine learning. Think about the context, your approach, and the impact of your solutions. This will illustrate your ability to apply your skills effectively in a commercial setting.
â¨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 their mission. This shows that you're not just interested in the job, but also in being part of their culture.
