Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
As a Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we’re on the constant lookout for fresh talent to join our expanding teams.
As a Senior Software Engineer, you will be a fundamental part of a delivery project, leading one of our scrum teams within the Provider Tech space in Dublin. You will be working with a very technical piece of architecture and will collaborate with internal IT Specialists and strategic partners through all phases of the development life cycle.
Schedule: Full-time position, Monday – Friday with standard working hours
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny Offices and telecommuting from a home-based office in a hybrid work model.

REQUIRED QUALIFICATIONS:

• Programming skills in Python, Spark/PySpark, Scala
• Understanding with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost)
• Experience with big data technologies, such as Hive, Kafka, Apache Hadoop and Apache Spark
• Experience with cloud platforms, particularly AWS AI services (Bedrock, SageMaker) and/or Azure OpenAI Service
• Proven experience in developing and deploying LLM-powered applications in production
• Understanding of modern NLP techniques (e.g. transformers, embeddings, prompt engineering)
• Experience with foundation models and generative AI platforms (e.g. OpenAI, Anthropic, open-source models)
• Experience in building RAG solutions with vector databases (e.g. pgvector, Pinecone, OpenSearch)
• Exposure to AI orchestration frameworks such as LangChain, LangGraph and others
• Familiarity with MLOps practices (deployment, monitoring, model lifecycle)

PREFERRED QUALIFICATIONS:

• Knowledge of data warehousing principles and best practices
• Familiarity with data modelling and data management techniques

SOFT SKILLS:

• Communication and collaboration skills

• Machine Learning Model Development:
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• Assist in designing and developing machine learning models to address business challenges

• Perform data preprocessing and feature engineering
• Support model selection and initial optimization
• Model Deployment and Monitoring:
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• Assist in deploying machine learning models into production environments

• Monitor model performance and suggest updates and improvements
• Ensure models are reliable and maintainable
• Data Science and Data Engineering:
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• Conduct exploratory data analysis and visualize data insights

• Help develop and maintain data pipelines for efficient data processing
  You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.