Senior AI/ML Software Engineer

Medtronic; Parkmore; Hybrid; EUR 66,000 - 98,000; Full time

Benefits offered by this job

Annual performance bonus

Pension contribution

Family healthcare coverage

Continuous professional development

Job summary

Medtronic is seeking a Senior AI Software Engineer to design, build, and deploy production-grade ML systems. You will fuse data science with software engineering to deliver scalable AI solutions across healthcare applications.

You will collaborate with data engineers, software engineers, and product teams, develop ML pipelines, deploy models to production, and implement MLOps practices in a hybrid work environment in Ireland.

Qualifications

• Master’s degree in computer science, data science, AI, ML or a related field.
• Strong theoretical foundation in machine learning, statistics, and data science methods.
• Demonstrated experience developing machine learning models.
• Experience building and maintaining ML pipelines.
• At least 3 years of experience deploying machine learning models into production environments.
• Strong proficiency in Python.
• Experience with cloud platforms and modern MLOps workflows.
• Solid understanding of software engineering fundamentals including version control, testing, and modular system design.

Responsibilities

• Design, develop, and evaluate computer vision and ML models for complex problems.
• Build end-to-end ML pipelines for data ingestion, training, validation, and deployment.
• Develop high-quality, maintainable Python code for ML systems.
• Work with cloud-based infrastructure to support ML workflows and CI/CD for ML pipelines.
• Collaborate with data engineers, software engineers, and product teams in an agile environment.

Skills

Python

ML pipelines

Cloud platforms

MLOps

Software engineering

Agile collaboration

Computer Vision

Data science fundamentals

Education

Master’s Degree in Computer Science, Data Science, AI, ML or related field

Tools

Docker

Kubernetes

Job description

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.

Come for a job, stay for a career!

A Day in The Life Of: As a Senior AI Software Engineer, you will combine 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. The ideal candidate has a strong theoretical foundation in machine learning and data science, along with hands‑on experience building ML pipelines, deploying models to production environments, and maintaining reliable ML services. This role works closely with data engineers, software engineers, and product teams to operationalize AI solutions.

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

Develop high‑quality, maintainable, and testable Python code for ML systems. Apply software engineering best practices including modular design, automated testing, and code review. Design scalable services and components that integrate ML models into production applications. Collaborate with 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

Work in agile/scrum framework and cross‑functionally with data engineers, software engineers, and domain experts. Translate analytical results into practical solutions and production‑ready systems. Contribute to architectural discussions for AI‑enabled platforms and products.

Required Qualifications

• Master’s Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong theoretical foundation in machine learning, statistics, and data science methods.
• Demonstrated experience developing machine learning models.
• Experience building and maintaining ML pipelines.
• At least 3 years of experience deploying machine learning models into production environments.
• Strong proficiency in Python.
• Experience with cloud platforms and modern MLOps workflows.
• Solid understanding of software engineering fundamentals including version control, testing, and modular system design.

Preferred Qualifications

• 3+ years of experience in Computer Vision.
• 3+ years of experience working with large datasets and data engineering workflows.
• Experience developing scalable data processing pipelines.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with distributed data processing or large‑scale ML systems.
• Experience implementing monitoring and observability for ML systems.

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.

• annual performance bonus
• pension contribution
• family healthcare coverage
• continuous professional development

#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.

Benefits & Compensation

Medtronic 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: 65,600.00 EUR - 98,400.00 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.

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.

For sales reps and other patient facing field employees, going into a healthcare settingis 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.