Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Machine Learning Data Engineer - Obstetric Ultrasound

GE HealthCare
Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer

Technical Lead - Data Science & Engineering

Senior Machine Learning Engineer

Machine Learning Engineer - GenAI - Hybrid

Machine Learning Data Engineer - Obstetric Ultrasound

Join to apply for theMachine Learning Data Engineer - Obstetric Ultrasoundrole atGE HealthCare

Machine Learning Data Engineer - Obstetric Ultrasound

3 days ago Be among the first 25 applicants

Join to apply for theMachine Learning Data Engineer - Obstetric Ultrasoundrole atGE HealthCare

Get AI-powered advice on this job and more exclusive features.

Job Description Summary

We are seeking a highly skilled Data or MLOps Engineer with experience in medical imaging, machine learning, and cloud-based data infrastructure management to help configure databases and ML training pipelines in the cloud as part of an overall effort to develop algorithms for ultrasound image interpretation in obstetric and maternal health. The successful candidate will be responsible for database and compute configuration on Amazon Web Services (AWS), dataset transfer and organization, code repository setup and maintenance in GitLab, and coordination and support for multiple teams collaborating on this cloud platform across geographic regions.

Job Description Summary

We are seeking a highly skilled Data or MLOps Engineer with experience in medical imaging, machine learning, and cloud-based data infrastructure management to help configure databases and ML training pipelines in the cloud as part of an overall effort to develop algorithms for ultrasound image interpretation in obstetric and maternal health. The successful candidate will be responsible for database and compute configuration on Amazon Web Services (AWS), dataset transfer and organization, code repository setup and maintenance in GitLab, and coordination and support for multiple teams collaborating on this cloud platform across geographic regions.

GE HealthCare is a leading global medical technology, pharmaceutical diagnostics, and digital solutions innovator, dedicated to providing integrated solutions, services, and data analytics to make hospitals more efficient, clinicians more effective, therapies more precise, and patients healthier and happier. Serving patients and providers for more than 100 years, GE HealthCare is advancing personalized, connected, and compassionate care, while simplifying the patient’s journey across the care pathway. Together our Imaging, Ultrasound, Patient Care Solutions, and Pharmaceutical Diagnostics businesses help improve patient care from prevention and screening, to diagnosis, treatment, therapy, and monitoring. We are an $18 billion business with 51,000 employees working to create a world where healthcare has no limits.

Job Description

Job Overview

The GE HealthCare Ultrasound business consists of ultrasound consoles, handheld ultrasound devices, and ultrasound IT solutions across 5 different market segments. There is a strong emphasis on the development of AI solutions for our ultrasound products so we can create additional value for customers and patients. We aim to grow our offerings via organic as well as inorganic developments.

Responsibilities

  • Configure new projects on AWS, including creation of databases for both tabular and imaging data, with appropriate consideration for IAM across multiple teams
  • Coordinate transfer of large volumes of data from multiple sources into AWS
  • Design and implement data ETL / preprocessing pipelines to prepare data for efficient use in ML training pipelines
  • Manage and optimize the computational resources used by team members
  • Support management of data labeling platforms (e.g. V7, LabelBox) to streamline data annotation processes
  • Help to manage collaborations between geographically distributed teams within the platform, providing technical support as needed
  • Help streamline the process of dataset development, model training, and performance assessment, including model version control and tracking
  • Contribute to cost-effective use of cloud resources through oversight of compute usage and minimization of storage footprint
  • Collaborate with product, clinical, and regulatory teams on the clinical validation of AI software for marketing approval
  • Stay up-to-date with the latest advancements and tools available for use by the ML team

Required Knowledge/Skills/Abilities

  • Experience with MLOps practices, including ETL pipelines, Docker, Kubernetes, and version control systems (e.g., Git).
  • Experience with cloud platforms (e.g., AWS in particular, but GCP also relevant) and infrastructure-as-code tools.
  • A background in ultrasound or other medical imaging modalities and related software tools such as DICOM, pydicom, opencv, or ITK.
  • Experience with Python and the Python scientific stack (numpy, scipy, matplotlib, pandas, scikit-learn, scikit-image).
  • Experience with at least one major deep learning framework (Tensorflow, Keras, PyTorch, etc).
  • Experience with writing production code and code review process.
  • Strong teamwork ethic, communication skills, and passion for learning.
  • Substantial experience of solving complex real-world problems involving data in a commercial environment

Basic Qualifications

  • A 2.1 or 1st degree in a technical discipline, or an MSc or PhD in a relevant field (e.g., Computer Science, Electrical/Biomedical Engineering, Physics, Neuroscience, Statistics, Mathematics or related field).
  • Excellent programming and software engineering skills, with a focus on data engineering.
  • Highly proficient in Python and SQL.

Eligibility Requirements

  • This position is based in the United Kingdom only. Legal authorization to work in the U.K. is required.
  • Must be willing to travel as required.

Desirable Skills

  • Proactive team player who enjoys working independently.
  • Practical experience managing large volumes of data from complex real-world problems in a commercial setting.
  • Knowledge of designing, building, and maintaining efficient and robust data architectures.
  • Ability to apply software engineering methodologies to complex real-world problems.
  • Experience in medical imaging, ideally ultrasound.
  • Background in BI/reporting.
  • Experience with development under ISO13485.

Personal Attributes

  • Excellent interpersonal and communications skills (both written and verbal) with all levels of an organization; able to build good working relationships
  • Self-starter - requires minimal direction to accomplish goals, proactive and enthusiastic
  • Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources
  • Exceptional organizational skills and attention to detail.

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.

Additional Information

Relocation Assistance Provided:No

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesHospitals and Health Care

Referrals increase your chances of interviewing at GE HealthCare by 2x

Get notified about new Machine Learning Engineer jobs inCardiff, Wales, United Kingdom.

Machine Learning Scientist II/Sr (Omics) - UK

Bristol, England, United Kingdom 3 days ago

Cardiff, Wales, United Kingdom 1 month ago

Cardiff, Wales, United Kingdom 1 month ago

Cardiff, Wales, United Kingdom 3 weeks ago

Cardiff, Wales, United Kingdom 1 month ago

Bristol, England, United Kingdom 1 month ago

Machine Learning Scientist II/Sr (Biomedical Images) - UK

Bristol, England, United Kingdom 3 days ago

Bristol, England, United Kingdom 1 week ago

Bristol, England, United Kingdom 1 week ago

Software Support Engineer - Labyrinth Screening

Bristol, England, United Kingdom 2 months ago

Bristol, England, United Kingdom 1 month ago

Bristol, England, United Kingdom 3 days ago

Greater Bristol Area, United Kingdom 1 week ago

Bristol, England, United Kingdom 2 months ago

Bristol, England, United Kingdom 2 weeks ago

Frontend software engineer (React) - Europe Remote

Bristol, England, United Kingdom $35,000.00-$40,000.00 4 weeks ago

Bristol, England, United Kingdom 3 days ago

QA Test Engineer - Bristol £40,000 (Hardware/Software)

Bristol, England, United Kingdom 1 week ago

Bristol, England, United Kingdom 3 months ago

Bristol, England, United Kingdom 2 weeks ago

Distinguished Engineer - Machine Learning (VP level)

Bristol, England, United Kingdom 3 months ago

Greater Bristol Area, United Kingdom 1 week ago

Bristol, England, United Kingdom 2 days ago

Barrow Gurney, England, United Kingdom 1 week ago

Bristol, England, United Kingdom 3 days ago

Greater Bristol Area, United Kingdom $65,000.00-$75,000.00 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.