At a Glance
- Tasks: Lead the development of AI systems for medical imaging, translating complex workflows into machine learning solutions.
- Company: Innovative deep-tech healthcare AI company transforming clinical diagnostics.
- Benefits: Competitive salary, full-time role, and opportunities for impactful research.
- Other info: Collaborate with clinicians and drive research initiatives in a dynamic environment.
- 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 clinical ML environments.
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 Role
- You 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
Responsibilities
- 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[...] employer: TW
Join a pioneering deep-tech healthcare AI company that is at the forefront of transforming medical imaging through innovative machine learning solutions. With a strong emphasis on collaboration, employee growth, and impactful work, this organisation offers a dynamic environment where you can lead cutting-edge research initiatives while directly contributing to improved clinical outcomes. Located in vibrant cities like London or Paris, employees benefit from a rich cultural experience and the opportunity to work alongside leading clinicians and experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Healthcare Engineer — Medical Imaging Senior / Principal Level | Europe (English & Fr[...]
✨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 expertise! Create a portfolio or GitHub repository with your projects related to medical imaging and machine learning. This gives potential employers a taste of what you can do, and we all know actions speak louder than words.
✨Tip Number 3
Prepare for interviews by brushing up on both technical skills and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with clinicians. We want you to shine in those interviews!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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[...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the Senior AI Healthcare Engineer role. Highlight your expertise in machine learning, computer vision, and any relevant clinical collaborations to catch our eye!
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 makes you the perfect fit for this role. Don’t forget to mention any experience with regulatory processes or working with clinicians.
Showcase Your Projects:If you've worked on any projects related to medical imaging or AI, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to translate complex problems into deployable solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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, particularly those that involved clinical collaboration or regulatory processes.
✨Speak the Language of Clinicians
Since this role involves working closely with clinicians, practice translating complex diagnostic workflows into simpler terms. Show that you can communicate effectively with medical professionals and understand their needs when it comes to AI solutions.
✨Showcase Your Research Impact
Prepare to discuss any patents, publications, or research initiatives you've contributed to that had a tangible impact on products or clinical practices. Highlight how your work has shaped product roadmaps or improved diagnostic processes.
✨Be Ready for Regulatory Talk
Familiarise yourself with the regulatory evaluation processes for healthcare AI, such as CE marking or FDA pathways. Be prepared to discuss how you would approach developing AI models that meet these standards and ensure safety in clinical environments.
