Machine Learning Engineer
GE HealthCare
- London, England, United Kingdom
- London, England, United Kingdom
Über
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.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.