213 Meta jobs in Ireland
Senior Meta Marketer
Posted 20 days ago
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Python /AI Developer (Co Clare)
Posted 3 days ago
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AI Applications Developer
Posted today
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Data Scientist
Posted 8 days ago
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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 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._
**Primary Responsibilities:**
+ Machine Learning Model Development:
+ 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:
+ 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:
+ Conduct exploratory data analysis and visualize data insights
+ Help develop and maintain data pipelines for efficient data processing
+ Experience in developing AI Agentic solutions
_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._
**Required Qualifications:**
+ Programming skills in Python and PySpark
+ Understanding with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost)
+ 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)
**Soft Skills:**
+ Communication and collaboration skills
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO
Data Scientist
Posted 9 days ago
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Optum is a global organisation 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.
**About the Role:**
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.
You will be working on innovative AI projects driving and supporting various advanced analytic solutions aimed to improve healthcare delivery. You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways. It will give you a great opportunity to get into the Healthcare Data world and learn best practices in the industry working with data both on-prem and in cloud.
You will work in close collaboration with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. You will contribute across the Data Science toolset, patents or products in areas like shared codes, best practices, technology and quality. You will embrace continuous learning and evangelizing of Data Science practices to ensure industry best practices and technology adoption. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an industry leader.
**Primary Responsibilities of the Data Scientist:**
- Research, interpret, and analyse diverse and complex data and communicate findings to inform the business.
- Work with business to develop and operationalize analytic solutions
- Leverage big data analytics infrastructure comprising Python, Spark, Databricks and Snowflake to solve complex business problems in the healthcare domain.
- Collaborate with fellow data scientists, business analysts, data engineers and subject matter experts to design and oversee the development of data science solutions.
- Contribute to and engage with the innovation and patenting programmes.
_You will be rewarded and recognised 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._
**Required Qualifications of the Data Scientist:**
- Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
**Technical Skills:**
- Ability to clean, transform, and analyze data using programming languages such as Python or SQL
- Experience with statistical modelling and machine learning techniques
- Proficiency in data visualization and communication of results
- Understanding of database management, data structures and modern big-data frameworks
**Business Skills:**
- Understanding of business objectives and ability to translate them into data science projects
- Familiarity with project management methodologies and ability to manage projects with clear timelines and deliverables
- Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
- Understanding of ethical considerations in data science and ability to apply them in practice
**Interpersonal Skills:**
- Good communication skills and ability to work collaboratively in a team environment
- Demonstrated ability to learn quickly and adapt to new technologies and tools
- Attention to detail and ability to prioritise tasks effectively
- Strong problem-solving skills and ability to work independently to solve complex problem
- Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders
**Preferred Qualifications:**
- Masters or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
- Proficiency in Python, PySpark and other relevant environments.
- Experience or knowledge with cloud-based data analytics such as Azure, Snowflake and Databricks
- Experience in working with healthcare and/or temporal data.
- Track record of designing and applying machine learning solutions for real world problems.
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved._
**_#RPO #BBMEMEA_**
Data Scientist

Posted 10 days ago
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As we continue to grow, we're looking for Data Scientists to join our expanding team. In this role, you'll research and develop advanced algorithms that address emerging challenges in the industrial and energy domains. You'll work closely with cross-functional teams to turn data into actionable insights and deployable solutions.
**What you'll do:**
+ Research and develop cutting-edge AI and data science algorithms
+ Analyze data to uncover insights and inform algorithm development
+ Incorporate system constraints into algorithm and dataset design
+ Design experiments and create high-quality labelled datasets
+ Plan and manage projects using Agile methodologies
+ Document and present solutions using diagrams, code, and performance metrics
+ Stay current with the latest tools, techniques, and academic research
**Qualifications:**
+ MSc or PhD in Data Science, Computer Science, Engineering, Physics, or a related field
+ 1-4 years of experience applying data science to real-world problems
+ Proficiency in Python, MATLAB, Simulink, and C/C++ Experience with algorithm optimization, embedded deployment, and automatic code generation
+ Familiarity with signal processing and machine learning for power systems is a plus
+ Strong communication skills and ability to work in cross-functional teams
+ Experience with Agile development and mentoring is desirable
+ A track record of academic publications or intellectual property generation is a bonus
**What we offer:**
+ Competitive Compensation & Benefits: Including pension, private health insurance, wellness programs, and more
+ Challenging & Impactful Work: Engage in cutting-edge projects within a dynamic, collaborative team environment
+ Career Growth: We prioritize internal mobility and support your professional aspirations through clear development pathways
+ Continuous Learning: Access to ongoing training and development through Eaton University and other learning platforms
+ Long-Term Investment in You: At Eaton, we don't just offer jobs-we build careers
#LI-MM2
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
Data Scientist
Posted 20 days ago
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Senior Data Scientist
Posted 1 day ago
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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.
This Senior Data Scientist will combine hands-on analytics experience with strong programming skills, particularly Python and SQL, to advance the development of user-friendly, open-source driven data tools and support self-service data automation, including conversational AI (chatbot) interfaces. The candidate will serve as a key link between business stakeholders, data engineering, and product teams, ensuring DOCC continues to innovate and scale data-driven decision-making.
_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 Letterkenny or Dublin office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Support DOCC's self-service initiatives by helping build, test, and maintain data access tools and conversational AI (chatbots) for routine analytics needs
+ Write and optimize Python and SQL code for data extraction, transformation, cleaning, and ad-hoc analytics
+ Support across both traditional, dashboard-focused BI to more flexible, open-source, and automated self-service solutions
+ Maintain and enhance existing Tableau dashboards as required, but with a strategic shift towards automation, reusability, and API-driven solutions
+ Collaborate with data engineers and product owners to operationalize and automate repeatable workflows, expanding the reach and impact of analytics
+ Utilize data platforms and tools such as Snowflake, Azure, Airflow (experience preferred), and potentially support API integrations for new self-service tools
+ Ensure quality, accuracy, and accessibility of analytics by automating data validation and documentation where possible
_You will be rewarded and recognised 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._
**Required Qualifications:**
+ Intermediate level of proficiency with Python and SQL for analytics, automation, and scripting solutions
+ Experience developing/administering flexible, user-focused data tools or applications (e.g., chatbots, API-driven tools, or similar self-service solutions)
+ Experience with data visualization and dashboarding (Tableau), but with a preference for candidates skilled in open-source and automated analytics approaches
+ Experience (preferred) working within cloud-based analytical environments such as Snowflake, Azure, and Airflow
**Soft Skills:**
+ Excellent problem-solving, communication, and stakeholder engagement skills
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2023 Optum Services (Ireland) Limited. All rights reserved._
#RPO
Staff Data Scientist
Posted 2 days ago
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Apptio, an IBM Company, is seeking a Staff Data Scientist to join our growing AI & Data Science team. In this senior technical leadership role, you will architect and drive cutting-edge ML and generative AI solutions that transform Apptio's FinOps and Technology Business Management (TBM) product suite.
You'll leverage your deep technical expertise and strategic mindset to lead projects from ideation to production, mentor team members, and shape the future of AI-driven insights for the world's leading enterprises-empowering them to optimize cloud and IT spend with intelligent, predictive, and actionable solutions.
**Your role and responsibilities**
* Lead the vision, design, and delivery of advanced ML models and generative AI capabilities that define and differentiate Apptio's product offerings.
* Drive AI strategy by identifying, prioritizing, and architecting high-impact ML initiatives aligned with Apptio's product and business roadmaps.
* Own end-to-end ML workflows, from raw data ingestion and scalable feature engineering to production deployment and lifecycle management, ensuring reproducibility, robustness, and maintainability.
* Provide deep technical leadership and thought partnership to data scientists, machine learning engineers, and cross-functional teams; champion a culture of technical excellence and innovation.
* Translate ambiguous, complex business and technical challenges into well-scoped, measurable ML solutions with clear KPIs, aligned with organizational goals.
* Act as a strategic advisor to product, engineering, and executive teams, influencing decision-making on AI/ML investments, product integrations, and technology directions.
* Stay on the leading edge of AI/ML advancements, especially in generative models, NLP, large-scale ML systems, and cloud cost optimization, and proactively assess their applicability to our products.
* Promote and establish best practices in ML development, model interpretability, reproducibility, model monitoring, and responsible AI, ensuring compliance with data governance and ethical standards.
**Required technical and professional expertise**
* Extensive experience in data science, applied machine learning, or related roles, with a proven track record of delivering high-impact ML solutions in production environments.
* Advanced proficiency in Python and core ML libraries (scikit-learn, pandas, NumPy) as well as deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
* Extensive knowledge of ML algorithms, statistical modeling, and deployment of production-grade solutions at scale.
* Experience architecting ML systems working with large-scale datasets, structured and unstructured data, and cloud-native data platforms; deep SQL expertise.
* Demonstrated ability to lead complex projects, mentor senior engineers or scientists, and partner effectively with product, engineering, and executive stakeholders.
* Excellent communication skills with the ability to distill complex technical concepts for diverse audiences and drive alignment across teams.
**Preferred technical and professional experience**
* Experience in FinOps, cloud cost optimization, enterprise financial systems, or IT operations.
* Hands-on expertise with generative AI, LLMs, and natural language processing, including deploying or fine-tuning foundation models.
* Deep understanding of MLOps practices and tools (e.g., MLflow, SageMaker, Airflow) for managing the ML lifecycle.
* Familiarity with Apptio products (ApptioOne, Cloudability, Targetprocess) is a plus.
* Knowledge of data governance, model risk management, and responsible AI frameworks, with experience implementing them in production environments.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Principal Data Scientist

Posted 3 days ago
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**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Are you a self-starter with a passion for innovation, adaptability, and solving complex problems? If so, this opportunity could be the next big step in your career. We're building powerful data capabilities to uncover breakthrough solutions and unlock untapped opportunities in the marketplace.
If you thrive in fast-paced, evolving environments and are driven by the desire to make a meaningful impact, we want to hear from you. Join us and start doing your life's best work.
Join our dynamic and forward-thinking Data Analytics team as a Principal Data Scientist, where you'll play a pivotal role in transforming how we manage Out-of-Network healthcare services. This is a high-impact position focused on driving innovation, reducing medical costs, and enabling scalable growth through data-driven strategies.
In this role, you will partner with our IT teams to development data pipelines, and you will lead advanced analytics initiatives that empower our organization with intelligent, actionable insights. Your work will directly influence Senior Leadership's strategic decision-making, accelerate our speed-to-market, and enhance our competitive edge by embedding a data-first mindset across the business.
_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 office and telecommuting from a home-based office._
**Primary Responsibilities:**
- Act as a functional SME for Data Science within the Data and Analytics team and wider business
- Work alongside IT and data analysts to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
- Visualize out-of-network pattern changes and network exposures as provider market share and patient dynamics shift; create predictive models that advance our out-of-network business
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Understand and identify drivers of patterns/behaviors uncovered in data
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard patterns
- Collaborate cross-functionally with subject-matter experts to explore business problems and design solutions
- Share analysis and interpretation for operational and business review and strategic planning
- Contribute short and long term operational/strategic business activities through analysis
- Ideate and develop strategic solutions with business partners to mitigate rising trends in medical costs
- Develop recommended business solutions through research and analysis of data and business process and implement when appropriate
You will be rewarded and recognised 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.
**Required Qualifications:**
- Bachelor's Degree in a relevant discipline (i.e. applied mathematics, physics, computer science) or relevant work experience
- Demonstrable success within a Data Science environment focused on agile thinking and innovative solutions, delivering complex and challenging projects
- Experience applying computational algorithms, statistical and programming methods using (R and Python) to structured and unstructured data
- Proven experience in understanding complex problems and datasets and driving data testing and strategic testing of ideas to come up with first-class solutions
- Demonstrated ability to own and lead projects that deliver real business value
**Preferred Qualifications:**
- MS/PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar numerical degree
- Experience and understanding of US healthcare system, billing of medical claims and associated data environments
- Experience creating Machine learning solutions to solve complex issues
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA