Senior AI Software Engineer

Medtronic; Galway; On-site; EUR 66,000 - 98,000; Full time

Benefits offered by this job

Annual bonus

Pension contribution

Family healthcare

Professional development

Hybrid work model

Job summary

Medtronic in Galway, Ireland is seeking a Senior AI Software Engineer to design and deploy production‑grade ML systems. You will blend data science with software engineering to build scalable ML pipelines, collaborate with data and product teams, and deliver AI-enabled medical technology solutions.

The role requires a Master’s degree and at least 3 years deploying ML models in production, plus strong Python and cloud/MLOps experience.

Qualifications

• Master’s Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong 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.
• Perform data exploration, feature engineering, and model experimentation.
• Apply validation methodologies to ensure robust model performance.
• Continuously improve models through experimentation and iterative development.
• Build end-to-end ML pipelines for data ingestion, training, validation, and deployment.
• Deploy models into production environments as APIs or batch pipelines.
• Implement monitoring and performance tracking for deployed models.
• Ensure reproducibility, versioning, and lifecycle management of ML models.
• Develop Python code for ML systems with best practices in testing and modular design.
• Collaborate with engineering teams to integrate ML capabilities into broader systems.

Skills

Python proficiency

ML & data science

Production ML deployment

Software engineering fundamentals

Education

Master’s Degree in Computer Science / Data Science / AI / ML

Tools

Docker

Kubernetes

Cloud platforms

Job description

Onsite

Galway, County Galway, Ireland

Full time

R71976

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

• 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.

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.

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 |

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.

We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

We change lives . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That’s who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.

We build extraordinary solutions as one team . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.

This life-changing career is yours to engineer . By bringing your ambitious ideas, unique perspective and contributions, you will…

• Build a better future, amplifying your impact on the causes that matter to you and the world
• Grow a career reflective of your passion and abilities
• Connect to a dynamic and inclusive culture that welcomes the challenge of life‑long learning

These commitments set our team apart from the rest:

Experiences that put people first . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career‑building resources you need.

Life-transforming technologies . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.

Better outcomes for our world . Here, it’s about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.

Insight-driven care . Fresh viewpoints. Cutting‑edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care

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 (https://www.e-verify.gov/employees) .