Principal AI/ML Software Engineer

Medtronic; Galway; Hybrid; EUR 84,000 - 125,000; Full time

Benefits offered by this job

Annual bonus

Pension contribution

Healthcare coverage

Professional development

Job summary

Medtronic is seeking a Principal AI/ML Software Engineer to lead design, development, deployment, and operation of production-grade ML and computer vision solutions. You will influence architecture, collaborate with cross-functional teams, and drive scalable, observable ML services in a hybrid Ireland-based role.

You will design end-to-end pipelines, lead software engineering best practices, and work across cloud-based infrastructure, MLOps, and CI/CD to deliver impactful healthcare technologies.

Qualifications

• 7+ years in software/ML in production environments.
• Proficiency in Python and scalable software design.
• Experience with ML pipelines and cloud deployment workflows.

Responsibilities

• Develop and evaluate CV/ML models for production use.
• Build end-to-end ML pipelines from data ingestion to deployment.
• Lead Python code quality, testing, and scalable service design.
• Collaborate with data engineers and product teams in agile sprints.
• Implement CI/CD and observability for ML systems.

Skills

Python

Machine Learning

Data Science

Software Engineering

Education

Bachelor's Degree

Tools

Docker

Kubernetes

Job description

Principal AI/ML Software Engineer

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 Life At 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 DevelopmentDesign, 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 DeploymentBuild 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 LeadLead team to develop high-quality, maintainable, and testable Python code for ML systems. Drive software engineering best practices including modular design, automated testing, and code review. Design scalable services and components that integrate ML models into production applications. Provide technical leadership to engineering teams to integrate ML capabilities into broader systems.
• Infrastructure and MLOpsWork 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 CommunicationProvide technical leadership to teams with data engineers, software engineers, and domain experts. Translate analytical results into practical solutions and production-ready systems. Influence architectural discussions for AI-enabled platforms and products. Work 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.

Benefits and Compensation

• Competitive base salary.
• Annual performance bonus, pension contribution, family healthcare coverage, continuous professional development, and more.

We support a hybrid work model.

Pay Range

Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: Ireland: 83,520.00 EUR - 125,280.00 EUR | This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

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.

Employment Eligibility and E-Verify

For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support. This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here.

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.