At a Glance
- Tasks: Lead the development of AI systems for medical imaging, translating complex workflows into machine learning solutions.
- Company: Deep-tech healthcare AI company focused on impactful clinical solutions.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and mentorship.
- Why this job: Make a real difference in healthcare by developing cutting-edge AI technologies.
- Qualifications: PhD or equivalent experience in AI, with 5+ years in machine learning systems.
The predicted salary is between 70000 - 85000 € per year.
A deep-tech healthcare AI company is looking for a Senior AI Healthcare Engineer to lead the development of machine learning systems that help clinicians make better diagnostic decisions. The company builds AI that integrates directly with clinical imaging equipment and hospital workflows, combining proprietary datasets, clinical expertise, and cutting-edge computer vision research into products used in real clinical environments.
This is not a standard ML engineering role. It sits at the intersection of research science, clinical collaboration, and product impact — requiring someone who can work on long-horizon R&D one day and translate that work into a deployable, regulatory-grade system the next.
The RoleYou will own the development and validation of AI models for medical imaging, designing novel algorithms, managing clinical datasets, and driving research initiatives that shape the product roadmap for years ahead. You will work directly with clinicians and medical specialists, translating complex diagnostic workflows into machine learning problems and building the evidence base needed for regulatory validation.
Requirements- PhD or equivalent research experience in AI, Machine Learning, Computer Vision, Biomedical Engineering, or a related field
- 5+ years developing machine learning systems in production or clinical environments
- Deep expertise in computer vision for medical imaging — ultrasound, radiology, or similar modalities
- Strong background in model development, evaluation, and clinical validation for safety-critical applications
- Experience managing medical imaging data pipelines, annotation workflows, and dataset curation
- Proven ability to work directly with clinicians — translating diagnostic goals into ML problems
- Familiarity with regulatory evaluation processes for healthcare AI including CE marking or FDA pathways
- Experience contributing to IP, patents, or novel research with demonstrable product impact
- Comfortable leading research initiatives and mentoring junior researchers
- Fluent in English — French is a meaningful advantage
- Background in women's health, fetal imaging, or prenatal diagnostics
- Design, develop, and validate novel AI algorithms for medical imaging applications
- Manage long-term research pipelines maintaining technological leadership
- Oversee clinical dataset curation — coordinating annotation efforts with medical experts
- Translate clinical diagnostic workflows into deployable ML systems
- Develop rigorous evaluation methodologies for safety-critical AI models
- Contribute technical documentation supporting CE or FDA regulatory submissions
- Bridge the gap between algorithm development and production deployment
- Collaborate across engineering, clinical, and product teams
Senior AI Healthcare Engineer — Medical Imaging Senior / Principal Level | Europe (English & Fr[...] in London employer: TW
As a leading deep-tech healthcare AI company, we offer an exceptional work environment that fosters innovation and collaboration at the intersection of technology and clinical practice. Our team enjoys competitive salaries, opportunities for professional growth, and the chance to make a meaningful impact on patient care through cutting-edge AI solutions in vibrant cities like London and Paris. Join us to be part of a culture that values research excellence, clinical partnerships, and the development of regulatory-grade systems that truly enhance diagnostic capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Healthcare Engineer — Medical Imaging Senior / Principal Level | Europe (English & Fr[...] in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI healthcare space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to medical imaging and machine learning. We recommend having a personal website where you can display your work and share insights about your research.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and clinical knowledge. We suggest practising common interview questions and scenarios that relate to AI in healthcare, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Healthcare Engineer — Medical Imaging Senior / Principal Level | Europe (English & Fr[...] in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Healthcare Engineer. Highlight your experience in machine learning, especially in medical imaging, and any relevant projects that showcase your skills in translating clinical workflows into ML problems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention any experience you have with regulatory processes or working directly with clinicians.
Showcase Your Research Experience:Since this role involves a lot of R&D, be sure to highlight your research experience. Discuss any novel algorithms you've developed or significant contributions to IP or patents. This will show us that you can lead initiatives and drive innovation.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TW
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, machine learning, and computer vision, especially as they relate to medical imaging. Be ready to discuss your past projects in detail, focusing on how you've developed and validated AI models in clinical settings.
✨Speak Their Language
Since you'll be working closely with clinicians, it's crucial to demonstrate your ability to translate complex diagnostic workflows into machine learning problems. Prepare examples of how you've successfully collaborated with medical professionals in the past.
✨Showcase Your Research Skills
Highlight your experience in long-term R&D and how it has led to impactful products. Be prepared to discuss any patents or novel research you've contributed to, especially if it relates to regulatory processes like CE marking or FDA pathways.
✨Prepare for Technical Questions
Expect in-depth technical questions about model development, evaluation methodologies, and dataset management. Brush up on your understanding of safety-critical applications and be ready to explain how you ensure compliance with regulatory standards.
