23 Generative AI jobs in Ireland

Generative AI Engineer

Dublin, Leinster Accpro

Posted 1 day ago

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GenAI Engineer Contractor (Hybrid, Dublin or Remote) My Client seeking aGenAI Engineer (Contractor) to help design, build, and deploy large-scale artificial intelligence solutions with real-world impact. This role offers the flexibility to work remotely or from a Dublin-based office and is ideal for someone ready to apply their technical expertise within an agile, innovative environment. Key Responsibilities: Design and deploy enterprise-scale GenAI systems using Microsoft AI Services and Databricks. Collaborate with cross-functional teams to deliver AI products and solutions across varied use cases. Work with NLP and LLM technologies, including frameworks like Transformers, SpaCy, PyTorch, TensorFlow, and more. Develop and maintain robust Compound AI systems, leveraging tools like DSPy. Operate in cloud environments such as Azure and AWS, deploying production-grade AI applications. Participate in Agile development cycles, contributing to sprint planning and iterative delivery. What Were Looking For: Experience with Microsoft AI Services and Databricks is essential. Advanced degree (MSc/PhD preferred) or equivalent experience in computer science, engineering, mathematics, or related fields. Proven track record in NLP and LLM-based projects, ideally within the insurance or financial services sectors. Strong programming skills in Python and comfort working with SQL. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. A drive for continuous learning and keeping up with the latest AI advancements. If you are interested in the above role you can apply directly or email me on and we can set up a call to discuss. Benefits: Work From Home
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Data Scientist - LLMs & Generative AI

Cork, Munster McAfee, Inc.

Posted 28 days ago

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**_Role Overview:_**
As a Data Scientist within the Office of the CTO within the Dynamic Threat Defense group at McAfee, you will play a vital role in providing our customers with cutting edge protection and peace of mind.
You will use your LLM (Large Language Model) and Generative AI expertise to identify new opportunities for application across the personal security space, in addition to improving McAfee's threat protection capabilities. Leverage your data visualization and storytelling skills to present your research to audience members ranging from fellow data scientists to senior executives.
This is a position located in Ireland in either Dublin or Cork. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.
**_About the Role:_**
+ Apply subject matter expertise in traditional ML, LLM and Generative AI in the development of machine learning driven solutions to protect the digital lives of our customers.
+ Apply statistical and machine learning knowledge aimed at identifying opportunities to improve upon existing protection capabilities using supervised and unsupervised modeling techniques.
+ Apply data wrangling skills toward cleaning data and building data pipelines from which to implement model monitoring dashboards and machine learning models.
+ Apply data mining and exploration skills on raw and cleaned data in a variety of formats to uncover insights for data driven decision making
+ Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources.
+ Use data visualization techniques and storytelling skills to convey research results in a meaningful manner with recommendations backed by data.
+ Own data science projects of varying scope from concept to delivery while focusing on delivering a solution to address the original problem statement to achieve success.
**_About You:_**
+ You have worked with and understand LLMs (Large Language Models) and Generative AI.
+ You have 5-7 years of experience building high quality machine learning models.
+ Experience in fine-tuning LLMs and classification is key requirement.
+ You possess a Master's or PhD in Statistics, Data Science, Computer Science or other quantitative field.
+ You have extensive experience with Python, PySpark, R, SQL and cloud platforms such as AWS, GCP and Databricks.
+ You are self-motivated and comfortable working remotely in collaboration with an international team.
+ You have strong problem-solving skills that can be applied toward data wrangling, exploratory data analysis, data visualization, model development, model measurement, model deployment and model monitoring.
#LI-Remote
**_Company Overview_**
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
**_Company Benefits and Perks:_**
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
+ Bonus Program
+ Pension and Retirement Plans
+ Medical, Dental and Vision Coverage
+ Paid Time Off
+ Paid Parental Leave
+ Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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Machine Learning/AI Research Engineer (Post-doc)

Galway, Connacht €125000 - €150000 Annually Hewlett Packard Enterprise Development LP

Posted 4 days ago

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permanent
Machine Learning/AI Research Engineer (Post-doc) page is loaded Machine Learning/AI Research Engineer (Post-doc) Apply locations Galway, Galway, Ireland Dublin, Dublin, Ireland time type Full time posted on Posted 2 Days Ago job requisition id Machine Learning/AI Research Engineer (Post-doc)This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

What the project is about:

The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.

Start/End Date : October 2025 to September 2028 (3 Years)

Location: Galway / Dublin

Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)

What we are looking for:

Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.

Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.

The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.

We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.

We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.

The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.

Education and Experience
  • PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
  • Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
  • Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.
Technical Skills:
  • Strong software development skills in Python and Pytorch are required.
  • Strong application experience of Machine Learning with physical systems is required.
  • Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
  • A strong science or engineering background with aptitude for system level analysis and modeling.
  • Deep understanding of the relevant environment, ecosystem, trends, and literature.
  • Excellent research and development skills.
  • Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.
  • Excellent written and verbal communication skills; mastery in English.
  • Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
  • Extensive knowledge of algorithms and data structures
Preferred Skills:
  • Research experience with publications in machine learning/applied statistics/AI.
  • Designing, implementing, and managing AI/ML systems.
At HPE, we're:
  • Human Rights Campaign's Corporate Equality Index
  • Great Place to Work's Best Workplace for Parents 2023
  • Fortune 100 Best Companies to Work For 2024
  • Ethisphere World's Most Ethical Company 2024
  • The Civic 50 Honoree
  • JUST Jobs Leader 2024
  • Forbes 2024 America's Best Employers For Diversity
  • America's Most Just Companies 2024
  • Fortune Best Workplaces in Texas 2024
  • Bay Area's Best Places to Work 2024
Ready to take the next step?

Open up opportunities with HPE.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration Job Level:

N/A HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender . click apply for full job details
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Machine Learning Scientist

Cork, Munster Proofpoint

Posted 28 days ago

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Job Description

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.
This advertiser has chosen not to accept applicants from your region.

Principal Machine Learning Engineer

Red Hat

Posted 8 days ago

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Job Description

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.**
This advertiser has chosen not to accept applicants from your region.

Principal Machine Learning Engineer

Dublin, Leinster Red Hat

Posted 8 days ago

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Job Description

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.**
This advertiser has chosen not to accept applicants from your region.

Principal Machine Learning Engineer

Red Hat

Posted 8 days ago

Job Viewed

Tap Again To Close

Job Description

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.**
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer

Dublin, Leinster Mastercard

Posted 9 days ago

Job Viewed

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Job Description

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Machine Learning Engineer
Overview:
We are seeking a highly skilled and visionary Lead Data Scientist to spearhead the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring a team of engineers and data scientists. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities.
Role:
Responsible for developing AI-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative and scalable manner, facilitating informed recommendations and decisions. Activities include designing and deploying machine learning models, building intelligent systems, conducting performance analyses, ad hoc reporting, and AI-powered data visualizations.
In this position, you will:
Lead complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions
Translate client/stakeholder needs into AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications
Deliver high-quality AI solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews
Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques
Delegate and review work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior-level colleagues and develops technical talent via ongoing technical training, peer review, and mentorship
All about you:
Proven experience leading AI/ML projects from concept to production
Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (e.g., AWS, Azure, GCP)
Deep understanding of machine learning, deep learning, NLP, and MLOps
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Experience with data architecture, model deployment, and performance tuning
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
This advertiser has chosen not to accept applicants from your region.

Lead Machine Learning Engineer

Dublin, Leinster Mastercard

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Machine Learning Engineer
Overview:
We are seeking a highly skilled and forward-thinking Machine Learning Engineer to lead the development and deployment of scalable machine learning systems that drive innovation and deliver measurable impact across the business. This role involves building robust ML pipelines, optimizing model performance, and collaborating with cross-functional teams to integrate intelligent solutions into production environments. The ideal candidate combines deep technical expertise with strong engineering discipline and a passion for solving real-world problems.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex initiatives and projects to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate client/stakeholder needs into machine learning solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Guide others to develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) utilizing supervised, unsupervised, and reinforcement learning techniques
Delegate and review work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior-level colleagues and develop technical talent via ongoing technical training, peer review, and mentorship
All about you:
Proven experience designing, building, and deploying machine learning systems in production
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
This advertiser has chosen not to accept applicants from your region.

Senior Machine Learning Engineer

Dublin, Leinster Mastercard

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Machine Learning Engineer
Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to design, build, and optimize scalable machine learning systems that deliver measurable impact across the business. This role involves developing robust ML pipelines, deploying models to production, and applying advanced techniques to solve complex problems. The ideal candidate is a hands-on technical expert with deep knowledge of machine learning, software engineering, and data infrastructure.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex technical initiatives to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate business and stakeholder requirements into scalable machine learning solutions and collaborate with engineering and data teams to implement them
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) using supervised, unsupervised, and reinforcement learning techniques
Apply best practices in software engineering, including version control, testing, and continuous integration, to ensure reliability and maintainability of ML systems
Optimize model performance and scalability through hyperparameter tuning, feature selection, and efficient deployment strategies
All about you:
3 - 5 years proven experience designing, building, and deploying machine learning systems in production environments
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Strong problem-solving skills and ability to work independently on technically challenging projects
Excellent communication skills and ability to collaborate effectively with cross-functional teams
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
This advertiser has chosen not to accept applicants from your region.
 

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