MLOps Engineer

About Vitestro

Founded in 2017 in Utrecht, Vitestro is pioneering the future of blood collection with the
Aletta Autonomous Robotic Phlebotomy Device (ARPD)
. This groundbreaking medical device combines advanced multi-modal imaging (near-infrared, ultrasound, and Doppler ultrasound) with robotics and AI to perform the entire diagnostic blood draw procedure autonomously.

By addressing critical healthcare staffing shortages and improving patient experience, Vitestro is transforming one of the most common and essential medical procedures. With more than 90 team members and growing rapidly, we are scaling our impact. As we placed our first devices with customers, we are now expanding our Service & Support organization to ensure successful implementation and long-term reliability.

At Vitestro, we are committed to continuous innovation and improvement. Our Service team plays a central role in supporting our customers, driving adoption, and enabling this new era of autonomous phlebotomy.

Join us as our new
MLOps Engineer
in the Sensing and motion accuracy Team at Vitestro, you will play a critical role in improving our machine learning models by enabling our engineering teams to get access to high-quality data, train models efficiently and gain valuable insights into model performance. This is a unique opportunity offering a vibrant environment for innovation and creativity. With our team at a pivotal phase of growth, it's the perfect time for dynamic individuals like you to contribute and make an impact.

Your Responsibilities

In an agile environment, you will:

• Design, implement and optimize cloud-based data processing and model training pipelines
• Enable software engineers to get valuable insights into model training performance and ML data.
• Enable engineers to efficiently and interactively experiment with data and models in a cloud environment
• Enable efficient and traceable ML model deployments and model monitoring
• Collaborate with software engineers and the clinical team to ensure new data can be annotated efficiently and with high quality
• Work closely with functional architects and the cloud team to understand requirements and deliver secure and scalable ML pipelines in our AWS-based cloud platform

You will also have opportunities to grow by contributing to Machine learning projects.

What You Bring

• A master's degree or PhD in Computer Science, Applied Physics, or a related field.
• 3–5 years in a machine learning or MLOps role.
• Proficiency in Python and software engineering practices, with the ability to coach others in Python design patterns.
• Hands on experience with training and validating models.
• Strong analytical and problem-solving abilities.

Nice-to-Haves

• Knowledge of CI/CD pipelines (e.g., GitLab).
• Knowledge of MLOps tooling and AWS services that are commonly used for machine learning (SageMaker, Step Functions, Lambda functions, ECR, S3).
• Experience with running models on edge devices.
• Knowledge of data lakehouses and ETL tools.
• Experience with data science techniques.
• Exposure to the medical device industry and related standards.

While familiarity with these areas is a bonus, what matters most is your eagerness to learn and grow. At Vitestro, we are committed to supporting you every step of the way in your learning journey.

What we offer

• Competitive salary including pension plan
• 25 days of annual leave based on a full-time position
• Hybrid work model
• Working together in a high-skilled team with our home base in Utrecht
• Frequent out-of-work activities with our team (such as our Skitestro ski-trip)
• Training budget
• Opportunity to be key shaper of a new global industry niche: autonomous medical robotics

We offer an environment where you can make a lot of impact, as you are joining a growing scale-up in MedTech. Our team of driven and talented colleagues enjoys solving the challenges in developing, manufacturing, and completing our breakthrough medical device. While working in an open culture, we strive for excellence in all domains. We believe in taking courage and like to challenge each other. We learn and teach, regardless of age, nationality or gender.

Are you excited?

We totally understand that, so are we By joining us, you can play an active role in changing the future of health care. Excited to join our revolution? Then we'd love to hear from you

For recruitment agencies – no thank you.