20 Machine Learning Researcher jobs in Ireland

Applications are sought for Ad Astra Fellow - Assistant Professor of Artificial Intelligence in Medical Diagnostics within the College of Health and Agricultural Sciences. The application of artificial intelligence in clinical medicine and biomedical research and practice is a key strategic priority of the UCD School of Medicine. In this post, the successful applicant will be involved in state-of-the-art research and teaching in the application of AI to medicine and medical research. This will cover areas including, but not limited to the role of AI in diagnostics, data analysis and clinical intervention decisions. We fully anticipate that this fellow will provide a nidus for expansion of critical mass in AI research across multiple disciplines in the Schools of Medicine and Veterinary Medicine. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €64,753 - € 102,539 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 30th September 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

Applications are sought for Ad Astra Fellow - Assistant Professor of Artificial Intelligence in Medical Diagnostics within the College of Health and Agricultural Sciences. The application of artificial intelligence in clinical medicine and biomedical research and practice is a key strategic priority of the UCD School of Medicine. In this post, the successful applicant will be involved in state-of-the-art research and teaching in the application of AI to medicine and medical research. This will cover areas including, but not limited to the role of AI in diagnostics, data analysis and clinical intervention decisions. We fully anticipate that this fellow will provide a nidus for expansion of critical mass in AI research across multiple disciplines in the Schools of Medicine and Veterinary Medicine. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €64,753 - € 102,539 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 30th September 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the e Recruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

Applications are sought for Ad Astra Fellow - Assistant Professor of Artificial Intelligence in Medical Diagnostics within the College of Health and Agricultural Sciences.

The application of artificial intelligence in clinical medicine and biomedical research and practice is a key strategic priority of the UCD School of Medicine.

In this post, the successful applicant will be involved in state-of-the-art research and teaching in the application of AI to medicine and medical research.

This will cover areas including, but not limited to the role of AI in diagnostics, data analysis and clinical intervention decisions.

We fully anticipate that this fellow will provide a nidus for expansion of critical mass in AI research across multiple disciplines in the Schools of Medicine and Veterinary Medicine.

95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €64,753 - € 102,539 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines.

Closing date: 12:00 noon (local Irish time) on the 30th September 2025.

Applications must be submitted by the closing date and time specified.

Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system.

UCD are unable to accept late applications.

Please note: the e Recruitment system only requests the names of two referees.

The full list of 3 referees should be included in the text of your application.

UCD do not require assistance from Recruitment Agencies.

Any CVs submitted by Recruitment Agencies will be returned.

Note: Hours of work for academic staff are those as prescribed under Public Service Agreements.

For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page.

To start the process click the Apply button below to Login/Register.

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

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
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**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.**

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
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**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.**

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
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**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.**

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Location: We are open to this person working hybrid from our office in Galway or remote within Ireland Description: The Conversational AI group are seeking a Staff Machine Learning Engineer to join the team and drive the innovation and evolution of our Conversational AI solutions with a focus on Generative AI systems at global scale (reaching over 7,500 organizations in 100+ countries). This role offers the opportunity to shape the future of our AI capabilities while leading complex technical initiatives that will shape our journey towards Agentic AI. You'll work at the intersection of cutting-edge AI research and practical implementation, delivering solutions that have a significant organizational impact. You will collaborate closely with UX designers, and product teams supporting each other to bring state-of-the-art AI technologies to production.This is an opportunity to shape the future of AI-driven conversations and develop robust, scalable architectures for intelligent agents. And a great opportunity to work at the intersection of software engineering and AI research. If you are passionate about building next-generation AI applications and have a strong background in software engineering, distributed systems, and AI development, we'd love to hear from you. What You Will Do : Lead innovation and strategy: design and execute POCs that push the boundaries of conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions. Architect and develop: maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation. Drive technical vision: shape and deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and scalable solutions. Project leadership: manage major technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review. Mentor and guide: provide technical coaching and training to engineers across the organization, explaining complex AI concepts to stakeholders at all levels. Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions. What We're Looking For : Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2 4 years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong software engineering fundamentals, including system design, data structures, algorithms, and software architecture. Experience leading complex technical projects and managing technical deliverables. Excellent communication skills with the ability to influence and explain complex concepts across organizational levels. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Independent judgment in developing novel approaches to challenging AI problems. Desirable Experience or an Interest in Learning : Experience with Large Language Models (LLMs) and their application in conversational systems. Hands-on experience with fine-tuning and prompt engineering. Knowledge of multi-agent systems/frameworks and agentic AI architectures. Familiarity with voice AI technologies and multimodal conversational interfaces. Experience with MLOps and deploying AI systems at scale. Background in reinforcement learning for dialogue optimization. Understanding of enterprise AI governance and responsible AI practices. Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems. Experience with cloud platforms (particularly AWS) and AI/ML technologies. Experience with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects, research publications, or patents in AI/ML. Benefits: Flexible work schedules and work-from-home options Development and career growth opportunities Excellent pension scheme Bonus scheme Health Insurance Income Protection & Life Assurance Family-friendly leave allowances, including paid maternity and paternity leave.If you are excited about pushing the boundaries of conversational AI and agentic intelligence while leveraging strong software skills, we encourage you to apply and be part of our team! a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We