Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.
A Day in the LifeAt Medtronic, we value what makes you unique. Be part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations.
Our Purpose
The Interventional Cardiology Therapies (ICT) Operating Unit is dedicated to transforming care for patients with coronary disease and hypertension. We combine innovative devices, digital technologies, and advanced analytics and artificial intelligence to support clinicians and improve patient outcomes worldwide. The work you do will impact patients globally and help support Medtronic’s mission of alleviating pain, restoring health, and extending life.
The Principal AI/ML Software Engineer combines strong data science expertise with solid software engineering skills to design, build, and deploy production-grade machine learning systems. This role focuses on developing robust ML models and integrating them into scalable software systems that support real-world applications.
Come for a job, stay for a career!
A Day in The Life Of:
As a Principal AI/ML Software Engineer, you will provide technical leadership in the design, development, deployment, and operationalization of machine learning and computer vision solutions that support connected healthcare technologies. You will work across the full AI lifecycle, from data exploration and model development through production deployment, monitoring, and continuous improvement, while partnering with cross-functional engineering and product teams to deliver scalable, reliable, and maintainable AI-enabled systems.
Primary Responsibilities:
Computer Vision & Machine Learning Development
Design, develop, and evaluate computer vision and machine learning models to solve complex business and technical problems.
Perform data exploration, feature engineering, and model experimentation.
Apply appropriate validation and evaluation methodologies to ensure robust model performance.
Continuously improve models through experimentation and iterative development.
ML Systems and Production Deployment
Build end-to-end machine learning pipelines for data ingestion, training, validation, and deployment.
Deploy models into production environments as APIs, services, or batch processing pipelines.
Implement monitoring and performance tracking for deployed models.
Ensure reproducibility, versioning, and lifecycle management of ML models.
Software Engineering
Lead team to develop high-quality, maintainable, and testable Python code for ML systems.
Driving software engineering best practices including modular design, automated testing, and code review.
Design scalable services and components that integrate ML models into production applications.
Providing technical leadership to engineering teams to integrate ML capabilities into broader systems.
Infrastructure and MLOps
Work with cloud-based infrastructure to support ML training and deployment workflows.
Implement CI/CD processes for ML pipelines and model releases.
Support automation of model retraining and operational monitoring.
Ensure reliability, scalability, and observability of ML services.
Collaboration and Communication
Providing technical leadership to teams with data engineers, software engineers, and domain experts.
Translate analytical results into practical solutions and production-ready systems.
Influencing architectural discussions for AI-enabled platforms and products.
Working in agile/scrum framework and with cross-functional groups to influence the project technical direction.
Required Qualifications
Bachelor's Degree with minimum 7 years, Master's Degree with 5 years, or PhD with 3 years of experience in software engineering, machine learning, artificial intelligence, data science, or related technical development roles.
Minimum 7 years of experience developing, deploying, and maintaining machine learning models in production environments.
Demonstrated expertise in machine learning model development, statistical methods, data science techniques, and model evaluation methodologies.
Strong proficiency in Python and experience developing scalable, maintainable, and testable software systems.
Experience building machine learning pipelines and implementing cloud-based ML deployment workflows, CI/CD processes, and model lifecycle management practices.
Preferred Qualifications
8+ years of experience deploying machine learning models into production environments.
8+ years of experience developing computer vision solutions and working with large-scale datasets and data engineering workflows.
Experience designing scalable data processing pipelines, distributed computing solutions, or large-scale machine learning systems.
Experience with containerization and orchestration technologies, including Docker and Kubernetes, and implementing monitoring and observability capabilities for machine learning services.
Medtronic offer a competitive salary and flexible Benefits Package. We support a hybrid work model. Alongside a competitive base salary, we provide a comprehensive benefits package including an annual performance bonus, pension contribution, family healthcare coverage, continuous professional development, and more.
#LI-hybrid
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
Recruitment Fraud Alert
We are aware of phishing scams targeting job seekers. Please keep the following in mind:
Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.
Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.
If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.
If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected].
Benefits & CompensationMedtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: Ireland: 83,520.00 EUR - 125,280.00 EUR |
The final salary within this range will be determined based on objective, job-related criteria, including relevant experience, skills and qualifications, in accordance with our compensation framework.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).Skills Required
- Bachelor's degree and at least 7 years of relevant experience, master's degree and at least 5 years, or PhD and at least 3 years
- At least 7 years of experience developing, deploying, and maintaining machine learning models in production environments
- Expertise in machine learning model development, statistical methods, data science techniques, and model evaluation methodologies
- Strong proficiency in Python and experience developing scalable, maintainable, and testable software systems
- Experience building machine learning pipelines and implementing cloud-based ML deployment workflows, CI/CD processes, and model lifecycle management
- 8 or more years of experience deploying machine learning models into production environments
- 8 or more years of experience developing computer vision solutions and working with large-scale datasets and data engineering workflows
- Experience designing scalable data processing pipelines, distributed computing solutions, or large-scale machine learning systems
- Experience with Docker, Kubernetes, monitoring, and observability capabilities for machine learning services
Medtronic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Medtronic and has not been reviewed or approved by Medtronic.
-
Healthcare Strength — Health coverage is considered comprehensive, with high-quality medical, dental, and vision options through major providers and added mental-health resources. These programs are frequently highlighted as a core strength of the package.
-
Parental & Family Support — Parental and family benefits stand out, including up to 24 weeks paid leave for U.S. birthing parents, 12 weeks for other parents, and a global Family Care Leave at 100% pay. Family-building support (fertility, adoption/surrogacy reimbursements) and backup care further reinforce this strength.
-
Retirement Support — A 401(k) with company match is described as competitive and reliable for long-term savings. Additional financial programs, such as tuition assistance and charitable-gift matching, complement retirement planning.
Medtronic Insights
What We Do
Medtronic is a global healthcare solutions company operating in approximately 160 countries. We are committed to improving lives through our medical technologies, services, and solutions. Since our beginning, 60 years ago, our Mission has remained the same: to alleviate pain, restore health, and extend life for people around the world. The Mission is our ethical framework and inspirational goal guiding our day-to-day work. It reminds us that our efforts are transforming millions of lives each year. To meet the needs of patients and healthcare professionals around the globe, we operate from more than 370 locations in approximately 160 countries.
