59 AI Voice jobs in Ireland

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.

In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do

• Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in OpenShift AI

• Work closely with the AI Innovation team to help deliver LLM training , continual learning and reinforcement learning techniques across our product portfolio

• Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as Kubeflow

• Liaise with stakeholder groups and cross-functional teams to deliver new product features

• Ensure non-functional requirements including security, resiliency, and maintainability are met

• Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI

• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

• Give thoughtful and prompt code reviews

• Represent OpenShift AI in external engagements including industry events, customer meetings, and open source communities

• Mentor, influence, and coach a distributed team of engineers

What you will bring

• Advanced experience in Python and Go

• Advanced experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies

• Ability to quickly learn, adapt and guide others on using new tools and technologies

• Proven ability to innovate and a passion for staying at the forefront of technology.

• Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them

• Autonomous work ethic, thriving in a dynamic, fast-paced environment.

• Experience providing technical leadership in a global team and delivering on a vision

• Excellent written and verbal communication skills

• A willingness to proactively utilize AI-assisted development tools such as Cursor and Claude Code for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Open to exploring and experimenting with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

The following will be considered a plus:

• While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Understanding of how Open Source communities work

• Experience working with upstream communities

• Familiarity or experience with the MLOps lifecycle , with an emphasis on model training

• Experience writing Kubernetes/OpenShift controllers and operators

• Experience writing SDKs in Python or other languages

About Red Hat

Red Hat () is the world's leading provider of enterprise open source () software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Why PlayStation?

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Mid-Level Machine Learning Engineer - Pricing

Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and also game studios? The work we do delivers highly impactful pricing recommendations to our studios and has strong leadership sponsorship. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences by designing, coding, training, documenting, cost-effectively deploying, and evaluating business-critical machine learning and AI systems.

We are looking for someone who can architect and build delightful production-grade products for customer-facing experiences, in an agile environment, collaborating with teams across Engineering, Product and Business. You will work on a project backed by executive leadership and poised to significantly influence revenue and user engagement.
You Will:
• Build and maintain ML models that quantify product price-elasticity and cannibalization effect to support multi-period promotions.
• Refine time-series forecasting algorithms to predict demand across multiple regions and product lines.
• Develop optimization workflows (OR-Tools) that balance sales growth and business constraints.
• Refine clustering algorithms to identify lookalike products for smarter pricing and promotional strategies.
• Apply a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of classification, regression, clustering, time series forecasting, uplift modeling, and synthetic data generation.
• Build scalable and resilient ML systems along with appropriate monitoring and continuous evaluation frameworks.
• Work closely with cross-functional partners in business and product to translate requirements into effective, scalable, ML-driven solutions.
• Collaborate with other engineering functions in Client, Server, and QA to drive ML integrations and deliver results.
• Collaborate with ML application teams that power product personalizations and search to further enhance the core experiences of our players.
You Bring:
• Advanced degree (Master's or Ph.D.) in CS/Statistics/Data Science/Operations Research/Econometrics, specializing in machine learning and optimization problems.
• 1+ years of industry experience applying time-series models in production, with hands-on experience in forecasting libraries (e.g. with LightGBM, Prophet).
• Proven track record with mixed-integer programming or constraint solvers for pricing or resource allocation.
• Strong programming skills in Python, Java, with proficiency in ML libraries and frameworks like TensorFlow, PyTorch, Spark Mlib, and scikit-learn
• Good ML systems engineering experience (such as job orchestration, training pipelines, deployment, serving, monitoring).
• Expertise in measuring the performance unsupervised and supervised models.
• Proven record of successfully delivering commercial machine learning products from conception to production.
• Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Tecton, Snowflake, and cloud services like AWS for machine learning development and deployment.
Preferred Qualifications:
• Previously worked with revenue-management systems.
• Experience in a variety of machine learning and AI techniques, such as forecasting models, constraint optimization, classification models on structured data, clustering, and other supervised and unsupervised learning models.
• Experience working in fast-paced environments, on business-critical missions.
• Good communication skills and the ability to convey complex ML concepts to a non-ML audience.
• Experience in e-commerce, digital goods, or gaming industries.
• Experience with recommender systems and similarity matching algorithms.
• Background in experimentation design, causal inference, uplift modeling, online A/B testing frameworks, and relevant metrics.
• Experience with large-scale structured data manipulation and processing.
• Experience working with custom ML platforms for continuous integration, deployment, and monitoring of machine learning models.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Sony Interactive Entertainment (SIE)

Senior (5+ years of experience)

Tagged as: Industry , Ireland , NLP , QA , Supervised Learning , Unsupervised Learning

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi-cultural and multi-location organization - an advantage Team player, responsible, delivery-oriented, details-oriented Outstanding communication skills Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. PayPal is on a mission to revolutionize commerce globally. We're driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at Learn more about privacy-related questions or data retention. 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0603 PayPal Europe Services Limited

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Machine Learning , NLP