25 AI Researcher jobs in Ireland

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Adherence to all Good Manufacturing Practices (GMP) Safety Standards
**Job Description**
**Senior Research Scientist - Pharma**
At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on - now and in the future.
**Location/Division Specific Information**
Our PPD® Laboratory Services team has a direct impact on improving patient health through the expertise of scientists, industry thought-leaders and therapeutic guides. As the world leader in serving science, our laboratory professionals bring their commitment to accuracy and quality to deliver groundbreaking innovations.
Our GMP Lab in Athlone conducts testing for clinical programs and marketed products across all phases of drug development and this role is based in our Pharma lab.
**Discover Impactful Work:**
The Senior Research Scientist - Pharma oversees complex analytical development and/or specialty technologies projects to create new analytical methods, enhance existing methods, and transfer client-provided methods using multiple instrumentation techniques (HPLC, GC, UPLC, ICP-MS, LC/MS, GC/MS etc.) and multiple detection techniques (UV, FL, CAD, ELSD, IC etc.). Provides technical and regulatory consulting to internal groups and clients about their programs. Provides technical guidance and mentorship to senior staff members in performing laboratory activities. Routinely acts as the technical project leader for multiple projects, interacts with clients to provide technical project updates, reviews and evaluates data, writes reports and protocols.
**A day in the Life:**
+ Independently plans the best scientific approach to develop analytical methods and/or other specialty technologies studies that meet client requirements.
+ Acts as on-site Subject Matter Expert (SME) for various instrumentation / technique / technology and validation/method transfer.
+ Evaluates available technical options to obtain desired quality of analytical results, economics, ease of introduction into a production environment, and robustness in analytical applications.
+ Demonstrates viability of in-house developed methods and methods transferred from clients by designing appropriate validation experiments or other appropriate aspects of specialty methodology or technology.
+ Ability to lead client discussions regarding project definitions, technical information exchanges and discussions of project status. Provides recommendations to clients on technical and regulatory issues.
+ Reviews protocols, project status reports, final study reports and other projectrelated technical documents.
+ Leads in preparation and implementation of SOPs and quality systems, as well as developing innovative technology and in evaluating and implementing new capabilities.
+ Reviews, interprets, and analyzes data for technical, quality and compliance to protocols, methods, SOPs, client criteria and Good Manufacturing Practices (GMP) or Good Laboratory Practices (GLP). Performs self and peer review of the data for accuracy and compliance with reporting requirements prior to submission to QA and issuance to customers
**Keys to Success:**
**Education & Experience**
+ Educated to a bachelor's degree level in a relevant Scientific area, ie chemistry, biochemistry
+ 10+ years' relevant industry experience within a GMP laboratory
In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.
**Knowledge, Skills, Abilities**
+ Effective written and oral communication skills as well as presentation skills
+ Knowledge and application of industry best practices not yet represented by global regulatory requirements
+ Effective, proven experience with method development, validation and the associated regulatory and ICH requirements of same
+ Full theoretical and hands-on understanding and knowledge of general chemistry and separation science
+ Demonstrated ability of integrating changing regulatory or industry standards and comprehension of technical limitations
+ Full understanding of laboratory requirements, SOPs, ICH guidelines, USP requirements and FDA guidance
+ Ability to independently review and understand project proposals/plans
+ Proven ability in technical writing skills
+ Ability to work in a collaborative work environment with a team
+ Proven problem solving and troubleshooting abilities
+ Ability to independently optimize analytical methods
+ Time management and project management skills
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
**Apply today! Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
**Accessibility/Disability Access**
Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at *. Please include your contact information and specific details about your required accommodation to support you during the job application process.
*This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
**Purpose:**
Through the application of scientific and medical training, clinical expertise, and relevant clinical experience, the Clinical Research Scientist - Clinical Development: Neuropsychologist is an integral member of the Neuroscience medical development team and participates in: the development, conduct and reporting of corporate/global clinical trials in support of registration and commercialization of the product; the implementation of global clinical trials; the reporting of adverse events as mandated by corporate patient safety; the review process for protocols, study reports, publications and data dissemination for products, new and updated labels, documents and tools supporting product pricing, reimbursement, and access (PRA), grant submissions and contracts; contacts with regulatory and other governmental agencies; outreach medical activities aimed at the external clinical customer community, including thought leaders; the development and implementation of the business unit and global strategy for the product; and various medical activities in support of demand realization.
The Clinical Research Scientist must be aware of and ensure that all their activities are in compliance with current local and international regulations, laws, guidance's (for example, FDA, ICH, CPMP etc.), Good Clinical Practices (GCPs), company standards, Lilly policies and procedures, company integrity agreements as applicable, and the Principles of Medical Research and activities are aligned with the medical vision.
**Overall Responsibilities** **:**
With the expansion of the Lilly portfolio, this role will be responsible for scientific support for clinical trials across the Neuroscience platform and serves a spectrum of patients with neurological and psychiatric conditions. The clinical research scientist is a scientific resource for study teams, departments, and others as needed, particularly pertaining to the selection of clinical trial endpoints, the implementation and central monitoring strategy of clinical endpoints and the translation of clinical trial outcome data into meaningful benefits. This includes, but is not limited to, design and execution of phase 2/3 studies to address the needs of the commercial organization.
The ideal candidate will be a critical thinker and understand Neuroscience, Neuropsychology, neuropsychological assessment and measurement science.
**Specific responsibilities may include but are not limited to:**
**Clinical Planning**
+ Collaborate with the business unit geographical regions, Discovery, Program Phase Medicine, and Clinical Pharmacology in the development and maintenance of a Draft Launch Label and Value Proposition that addresses key customer needs (patient, provider, and payer); the product lifecycle plan, clinical strategies, development plans and study protocol design.
+ Contribute to business unit and global alignment of clinical strategy and clinical plans.
+ Understand and keep updated with the pre-clinical and clinical data relevant to the molecule.
**Clinical Research/Trial/ Execution and Support**
+ Plans, collaborates on and reviews scientific content of clinical documents such as protocols, informed consent documents, final study reports, and submissions (e.g., annual reports) according to the agreed upon project timeline.
+ Provide protocol oversight and input into informed consent documents.
+ Supports the monitoring of patient safety during study and participates in the global product safety reviews including the appropriate tracking and follow-up of adverse events, in alignment with corporate patient safety policies and procedures.
+ Collaborate with clinical research staff in the design, conduct and reporting of local clinical trials (for example, sample size, patient commitment, timelines, grants, and governance review interactions).
+ Review and collaborates with CRP on the approval of risk profiles to ensure appropriate communication of risk to study subjects.
+ Participate in investigator identification and selection, in conjunction with clinical teams.
+ Ensure that operational team has documented the completion of administrative requirements for study initiation and conduct (for example, ethical review board, informed consent, regulatory approval/notification) consistent with Good Clinical Practices (GCPs) and local laws and requirements.
+ Assist in planning process and participate in study start-up meetings and other activities to provide the appropriate training and information to investigators and site personnel.
+ Serve as resource to clinical operations/CTMs/ clinical research monitors, investigators and ethical review boards to address any questions or clarify issues arising during the conduct of study.
+ Understand and actively address the scientific information needs of all investigators and personnel.
+ Review lIT proposals and publications, as requested by CRP or Director-Medical.
**Scientific Data Dissemination/Exchange**
+ Knowledge of and compliance with local laws and regulations, and global policies and procedures, compliance guidelines with respect to data dissemination and interactions with external health care professionals.
+ Understand and address the unsolicited scientific information needs of external health care professionals according to guidelines above.
+ Participate in reporting of clinical trial data in Clinical Trial Registry activities.
+ Support the planning of symposia, advisory board meetings, and other meetings with health care professionals.
+ Prepare or review scientific information in response to customer questions or media requests
+ Provide telephone follow-up or specific written information requested by health care professionals as per global SOPs.
+ Establish and maintain appropriate collaborations and relationships with external experts, thought leaders, and the general medical community on a local, national, regional and possibly international basis.
+ Support the design of customer research as medical expert
+ Support medical information associates in preparation and review of medical letters and other medical information materials.
+ Support data analysis and the development of slide sets (through reviewing and/or approving) and publications (abstracts, posters, manuscripts).
+ Develop and maintain appropriate collaborations and relationships with relevant professional societies.
+ Support training of medical personnel, including geographic/affiliate medical personnel as assigned, medical and outcome liaisons and global patient outcomes personnel.
+ Provide congress support (for example, availability to answer questions at exhibits, provide oral and poster presentations, staff medical booth, meet thought leaders, and participate in customer events)
+ Participate in data analysis, development of scientific data dissemination, and preparation of final reports and publications.
**Regulatory Support Activities**
+ Participate in development and review of label changes and labeling modifications in collaboration with affiliates, brand teams, regulatory, and legal.
+ Provide medical expertise to regulatory scientists.
+ Support/assist in the preparation of regulatory reports, including NDAs, FDA annual reports and Periodic Adverse Drug Experience Reports (PADERS), preparation for FDA advisory committee hearings and label discussions, local registration efforts, and communication and resolution of regulatory issues, including regulatory response, from a global perspective.
+ Participate in advisory committees.
+ Participate in risk management planning along with affiliates and Global Patient Safety (GPS).
**Scientific I Technical Expertise and continued development**
+ Critically read and evaluate the relevant medical literature; know the status and data from competitive products; and keep updated with medical and other scientific developments relevant to the product
+ Responsible for the scientific training of the clinical study team.
+ Acts as scientific consultant and protocol expert for clinical study team members and others in medical.
+ Be aware of current trends and projections for clinical practice and access in the therapeutic area(s) relevant to the product, both near term (1-2 years) and longer term (3-5 years).
+ Explore and take advantage of opportunities for extramural scientific experiences
+ Attend, contribute and participate in scientific symposia, as well as administrative/business workshops and training.
**General Responsibilities**
+ Actively set and meet individual professional development goals and contribute to the development of others.
+ Support the management team, including the Sr. Director-Medical, in preparation and administration of the business unit development budget.
+ Actively participate in recruitment, diversity and retention efforts.
+ Collaborate proactively and productively with all alliance, business and vendor partners.
+ Participate in active coaching by providing timely and constructive feedback to co-workers, others on the medical team, in the spirit of development, increased team effectiveness and cohesiveness.
+ Participate in committees, process improvement initiatives and task forces as requested by local/corporate management
+ Ensures that at all times is adequately qualified and trained in the tasks required to perform. Includes accountability and compliance for maintaining a current curriculum training map for self.
+ Model the leadership behaviors
+ Be an ambassador of both patients and the Lilly Brand
**Basic Requirements:**
+ Doctoral level Degree (Ph.D, Psy.D or equivalent) in Clinical Neuropsychology with 2+ years industry or academic experience beyond any postdoctoral positions.
+ Demonstrated experience in clinical and/or research settings in working with adults with neurological and/or psychiatric disorders
+ Clinical experience in conducting assessments and administering standardized scales within a clinical and/or research context.
+ Experience and agility in the conduct and interpretation of statistical and psychometric analyses
+ Evidence of scientific track record in publications, conference presentations
**Additional Information:**
+ Fluent in English, written and verbal communications
+ Ability to engage in occasional domestic and international travel to the degree appropriate to support the business of the team.
+ Position Location - Indianapolis, IN or Remote
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$142,500 - $228,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly

eir evo talent are currently recruiting for a Machines Learning Engineer, based in Donegal. Machine Learning Ops Engineer with a strong background in Cloud Engineering, particularly within the AWS environment, with a focus on platform engineering. The ideal candidate will have a passion for developing robust machine learning platforms and ensuring the seamless deployment and operation of ML models through efficient infrastructure and tooling. Key Criteria: Have they deployed any AI/ML models into production in a primary role? A must have. Do they have exposure to AWS Sagemaker and Bedrock? Should have first-hand experience working with LLMs/ GenAI user cases. Candidates must be eligible to work full time and long term in the location specified or currently hold a valid appropriate long term work Visa to apply. eir evo talent, eir evo and our clients are equal opportunity employers who seeks to recruit and appoint the best available person for a job regardless of marital / civil partnership status, sex (including pregnancy), age, religion, belief, race, nationality and ethnic or national origin, colour, sexual orientation or disability. eir evo talent, eir evo and our clients apply all relevant Data Protection laws when processing your Personal Data. If you choose to apply to this opportunity and share your CV or other personal information with eir evo talent, eir evo and our clients, these details will be held by us in accordance with our privacy policy used by our recruitment team to contact you regarding this or other relevant opportunities at eir evo talent and eir evo Skills: Machine Learning AWS environment Communication skills

Overview

Rent the Runway established its European Technology Hub in Galway in April 2019. Based in the historic Claddagh area, the growing team tackles core technology challenges and influences the next generation of services critical to Rent the Runway's success and growth. Our Galway office is the company's first international office outside the US and enables expansion of Software Engineering, Product Development, Machine Learning Engineering and Data Science.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and contribute to the software community through open-source work.

About the Role

Machine Learning Engineers at Rent the Runway create data products that impact customer experience and internal operations. You will own projects end to end-from framing problems to transforming information from our data ecosystem into actionable insights, and ultimately building & integrating algorithms into our network of services in collaboration with product and software engineering teams.

You will influence multiple areas of the business, including inventory assortment and lifecycle, warehouse and transportation networks, personalized user experiences, user acquisition & retention, customer service information delivery, pricing of rentals and sales, demand forecasting, and more.

We are always interested in speaking with developing and experienced Machine Learning engineers. If that's you, read on for a snapshot of the type of work our engineers do across our teams, and share your details for a member of our Talent team to be in touch.

What You'll Do

• Work on a team of peers in an environment that will keep you challenged and learning daily.
• Develop and deploy performant algorithms powering customer-facing applications that are core to our business and success.
• Collaborate closely with business, product and engineering teams.
• Have a significant voice in what you work on and how work is carried out.

About You

• 3+ years of work experience building data products , preferably with Python , integrating them into internal and customer-facing applications in production environments. Bonus points if you've built & maintained services using AWS, GCP; deployed & maintained production deep learning models using frameworks such as Tensorflow, PyTorch, Keras .
• Ability and desire to own your project through its lifecycle, from data exploration and analysis to modelling, experimentation, production implementation, monitoring, and stakeholder communication.
• Experience transforming vague problems into algorithmic solutions.
• Desire to drive business impact with a bias to action; you move fast, follow through, and are accountable for results.
• Owner's mindset. No job is too big or too small, and you strive to leave things better than you found them.
• Curiosity and an open mind.

Benefits & Commitment

• Generous Paid Time Off, including annual leave, paid bereavement, and family sick leave.
• Universal Paid Parental Leave for both parents with flexible return to work options.
• Paid Sabbatical after 5 years of continuous service.
• Competitive Stakeholder Pension.
• Comprehensive health and dental care for employees and dependents from day 1.
• Company-wide events and outings to foster team spirit.
• Hybrid Work: hybrid role based in our Galway, Ireland office with option to work remotely 2-3 days per week.

Rent the Runway is an equal opportunity employer. We prohibit discrimination against any applicant or employee on legally recognized bases including gender, marital status, family status, age, disability, sexual orientation, race, religion, and membership of the Traveller community.

By submitting your application, you acknowledge Rent the Runway's Candidate Privacy Policy.

**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.

**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.

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)**
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