257 AI Infrastructure jobs in Ireland

Microsoft Elevate is chartered with the mission of bringing the power of technology to every non-profit and humanitarian organization to accelerate Social Good. This organization will bring together our donation and grants programs, industry solutions, commercial sales efforts and partner ecosystems to empower non-profits globally to address the world's most pressing needs. Profits generated from this business will be reapplied to scaling operations and investments for Microsoft's public good investments. This is a dynamic and fast-growing business focused on helping organizations on the front line of change to do their best work to create inclusive and enduring positive impact throughout our communities

As a Solution Engineer for Cloud & AI Data in the Microsoft Elevate team, you will have the unique opportunity to combine purpose with cutting-edge technology. In this role, you'll partner with social impact organizations—from not-for-profits, non-government organizations to social enterprises— you'll help them amplify their societal and environmental impact through AI and Cloud innovation. This is your chance to drive meaningful change while leveraging digital tools and thriving in an inclusive, empowering environment.

Data & AI is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.

The main goal of Microsoft Solution Engineer (SE) is to win the technical decision of customers to purchase and use our technology. The SE is expected to be able to both own and win customers' technical decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a SE, you work within a virtual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.

Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams. Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills. Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies. Experience in creating Proof of Concepts (PoCs), Minimum Viable Products (MVPs) for customers that lead to production deployments.

Responsibilities:

• Own technical sales with customers' technical decision makers (TDMs) leveraging processes and tools, demos, programs, offers, and drive proof of concepts (POCs) using consultative sales methodology and technical expertise across other Solution Engineers to influence the customer vision.
• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Overcome competitors and technical objections
• Maintain CRM pipeline hygiene & forecast accuracy in your closing
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms.
• Critical to maintain and grow expertise in Cloud Migration (Win, SQL, Linux, PGSQL, App workloads, resiliency, security, compliance) and enterprise applications (SAP, Oracle).
• It is important to maintain and grow expertise in VMware with Azure VMware Services (AVS).
• Keeping up to date with market trends and competitive insights

Required Qualifications (RQs)

• Bachelor's or Master's Degree in Computer Science, Information Technology, or related field AND relevant technical pre-sales or technical consulting experience
• OR equivalent experience
• Demonstrable technical pre-sales, technical consulting, or technology delivery, or related experience

Preferred Qualifications (PQs)

• Proficiency in written, reading, and conversational German
• Relevant technical pre-sales, technical consulting, or technology delivery, or related experience
• OR equivalent experience
• Relevant experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Certification in relevant technologies or disciplines
• Familiarity with AI-assisted tools (e.g., GitHub Copilot), low-code/pro-code platforms, and Azure AI.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company Overview
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries.

Position Description
KKR is building out an enterprise data group to collect, manage, and harness the power of data across our diverse portfolio investments. Reporting into the Global Markets Operations team, this group will help ensure all KKR data is accessible, consumable, and drive the curation of insights across the organization.

The KKR Data Operations group is seeking an experienced data professional to partner in the development and maintenance of data management and reporting across various verticals at the firm, including but not limited too Sustainability, Communications, Marketing, Public Reporting, Citizenship, Public Affairs, Sustainable Credit, etc. Success in this role will ensure all KKR data is accessible, consumable, and to drive the curation of insights across the organization.

This is an opportunity to assist in the creation, and ultimately take ownership of, data management processes aimed at ensuring clean and quality data, which is integral to the success and growth of the business. Strategic, analytical, and collaborative, this team member will work alongside a small, entrepreneurial team to implement, maintain, and manage portfolio monitoring and reporting data as well as processes. They will become the admin and specialist of various data platforms and drive strategic data mining initiatives in service of these different verticals. In addition, they will assist the team leads in identifying broader data operations and analytics themes that influence broader external messaging and internal storytelling and status tracking.

Responsibilities
Data Management & Creation:

• Partner with Communications and Global Market Operations Analytics and Technology teams on the creation of relevant data models, including the ingestion of data from source systems into the KKR Snowflake instance and curating the relevant business logic needed for reporting.
• Implement and own the best-in-class data governance practices; ensuring that data is well defined & transparently documented (what data exists, where does it exist, and how is it being used).
• Collaborate with engineering and make recommendations to integrate external systems into the KKR Snowflake instance and improve dataflow between external systems.

Data Reporting

• Reporting platform management: Responsible for the operations, maintenance and enhancements of existing (and future) external reporting platforms, including facilitating automated data collection and reporting within the platform tools (e.g. Workiva). This will require partnering with several teams (Sustainability, Impact, etc.) on curating data for the reports they are currently generating via the Workiva platform.
• Collaborate with Head of Sustainable Credit on Sustainability Data Collection and reporting across KKR Credit Funds.
• Work with the Public Affairs team to visualize and present relevant analytics and reporting needed for internal and external meetings.

Data Integration & Thought Leadership

• Point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner.
• Drive and support development of advanced analytical capabilities.

Technical
PRIMARY QUALIFICATIONS AND SKILLS

• Bachelor's degree or higher in Information Systems, Data Analytics, Accounting, Finance, Business, or other related fields; and/or relevant industry experience in financial data analysis.
• 3+ years of relevant experience with an financial services organization, bank, accounting group, or multi-strategy hedge fund working with reference and transactional data and/or financial analysis.
• Advanced analytical & data visualization capabilities (with proficiency in using Power BI or similar tools to support those analyses & data visualizations) are required.
• Strong Python skills required.

Drive

• Understanding and/or interest in financial datasets, asset management, financial statements, and basic accounting concepts.
• Capable of, and interested in, developing a deep understanding of the business to play a key strategic role.

Core

• Excellent written and verbal communication skills; detail oriented with strong analytical and quantitative skills, coupled with qualitative insight.
• Collaborative and active contributor, with a "roll-up-your-sleeves" attitude in a fast-paced environment.
• Maturity and sound judgment, exhibiting an ability to thrive in cross-functional and cross-business unit settings.
• Proven ability to manage demands of multiple projects in a fast-paced work environment, including ability to prioritize time efficiently and handle competing priorities while remaining connected to the details.
• High level of intellectual curiosity, accountability, and drive; self-motivated with the ability to work autonomously.
• Aptitude for critical and creative thinking across the quantitative and qualitative spectrum.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries.

POSITION DESCRIPTION

KKR is building out an enterprise data group to collect, manage, and harness the power of data across our diverse portfolio investments. Reporting into the Global Markets Operations team, this group will help ensure all KKR data is accessible, consumable, and drive the curation of insights across the organization.

The KKR Data Operations group is seeking an experienced data professional to partner in the development and maintenance of data management and reporting across various verticals at the firm, including but not limited too Sustainability, Communications, Marketing, Public Reporting, Citizenship, Public Affairs, Sustainable Credit, etc. Success in this role will ensure all KKR data is accessible, consumable, and to drive the curation of insights across the organization.

This is an opportunity to assist in the creation, and ultimately take ownership of, data management processes aimed at ensuring clean and quality data, which is integral to the success and growth of the business. Strategic, analytical, and collaborative, this team member will work alongside a small, entrepreneurial team to implement, maintain, and manage portfolio monitoring and reporting data as well as processes. They will become the admin and specialist of various data platforms and drive strategic data mining initiatives in service of these different verticals. In addition, they will assist the team leads in identifying broader data operations and analytics themes that influence broader external messaging and internal storytelling and status tracking.

RESPONSIBILITIES

Data Management & Creation:

• Partner with Communications and Global Market Operations Analytics and Technology teams on the creation of relevant data models, including the ingestion of data from source systems into the KKR Snowflake instance and curating the relevant business logic needed for reporting.
• Implement and own the best-in-class data governance practices; ensuring that data is well defined & transparently documented (what data exists, where does it exist, and how is it being used).
• Collaborate with engineering and make recommendations to integrate external systems into the KKR Snowflake instance and improve dataflow between external systems.

Data Reporting:

• Reporting platform management: Responsible for the operations, maintenance and enhancements of existing (and future) external reporting platforms, including facilitating automated data collection and reporting within the platform tools (e.g. Workiva). This will require partnering with several teams (Sustainability, Impact, etc.) on curating data for the reports they are currently generating via the Workiva platform.
• Collaborate with Head of Sustainable Credit on Sustainability Data Collection and reporting across KKR Credit Funds.
• Work with the Public Affairs team to visualize and present relevant analytics and reporting needed for internal and external meetings.

Data Integration & Thought Leadership:

• Point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner.
• Drive and support development of advanced analytical capabilities.

PRIMARY QUALIFICATIONS AND SKILLS

Technical:

• Bachelor's degree or higher in Information Systems, Data Analytics, Accounting, Finance, Business, or other related fields; and/or relevant industry experience in financial data analysis.
• 3+ years of relevant experience with an financial services organization, bank, accounting group, or multi-strategy hedge fund working with reference and transactional data and/or financial analysis.
• Advanced analytical & data visualization capabilities (with proficiency in using Power BI or similar tools to support those analyses & data visualizations) are required.
• Strong Python skills required.

Drive:

• Understanding and/or interest in financial datasets, asset management, financial statements, and basic accounting concepts.
• Capable of, and interested in, developing a deep understanding of the business to play a key strategic role.

Core:

• Excellent written and verbal communication skills; detail oriented with strong analytical and quantitative skills, coupled with qualitative insight.
• Collaborative and active contributor, with a "roll-up-your-sleeves" attitude in a fast-paced environment.
• Maturity and sound judgment, exhibiting an ability to thrive in cross-functional and cross-business unit settings.
• Proven ability to manage demands of multiple projects in a fast-paced work environment, including ability to prioritize time efficiently and handle competing priorities while remaining connected to the details.
• High level of intellectual curiosity, accountability, and drive; self-motivated with the ability to work autonomously.
• Aptitude for critical and creative thinking across the quantitative and qualitative spectrum.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

At Eaton Ireland, power isn't just what we manage—it's what we empower.

With over a century of innovation and a presence in more than 175 countries, we're helping customers tackle their toughest power management challenges with technologies that are smarter, safer, more efficient, and more sustainable.

But what truly sets us apart is our people. As a Certified Great Place to Work, Eaton Ireland is recognised for building a culture where trust, inclusion, and purpose thrive. Here, every voice matters, and every idea has the power to shape a better future - for our communities and our planet.

The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton's vast portfolio of products and services across multiple industries that our company operates.

In your role as a Data Science Intern, you will learn about the development and deployment of data science and analytics tools across Eaton's product portfolio – from grid-scale insights to home energy management systems.

You will gain experience in building and releasing statistical, artificial intelligence (AI) and machine learning (ML) pipelines in a modern data science stack and will contribute to the ongoing development of Eaton's Brightlayer Analytics platform. This platform provides a set of reusable analytics components which are used throughout the Eaton business to create products for Eaton's customers. You will be involved in the design, development, and testing of edge and cloud-based systems.

You will also gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.

What you can expect to learn:

At the end, we expect you to have gained a clear understanding of the end-to-end research, design, and development process for deploying intelligent solutions in Eaton products. You will have directly contributed to this design, experimental development, and test process for at least one proof of concept system. In addition, you will have the opportunity to present your work to the team and senior technical leadership within the company.

Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar

• A basic technical background is required in addition to an interest and background in machine learning and statistical modelling.
• Familiarity with Python and/or R, and commonly used modelling/visualisation libraries (pandas, numpy, dplyr, ggplot2).
• Knowledge of foundational data science algorithms.
• Familiarity with embedded systems and embedded system programming.
• Knowledge of deep learning libraries such as TensorFlow, Keras, pytorch.
• Interest in reproducible research and software engineering best practices (coding best practices, version control).

Soft Skills:

• Analytical thinking
• Problem-solving
• Communication skills
• Team collaboration
• Time management
• Ownership

We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

This job is with Avery Dennison, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Avery Dennison Corporation (NYSE: AVY)
is a global materials science and digital identification solutions company. We are Making Possible products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more

Avery Dennison is an equal opportunity employer.
Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team

We do not accept unsolicited referrals or resumes from any source other than directly from candidates
.

• We are unable to offer sponsorship or relocation for this role*
• This role is subject to right-to-work checks as per local employment laws*

We're seeking a
Data Science Specialist
to join our team on a
temporary contract (12 months)
. This role is ideal for a new graduate or early-career professional who is passionate about using data to solve complex business problems. The ideal candidate will apply statistical, algorithmic, and machine learning techniques to collect, analyze, and interpret large datasets. You'll play a key role in developing predictive models, uncovering actionable insights, and presenting your findings to stakeholders to drive informed business decisions.

Key Responsibilities

• Data Analysis & Modeling: Apply advanced statistical analysis and machine learning to large datasets to extract valuable insights and answer key business questions.
• Model Development: Design and implement predictive and prescriptive models for complex problems, identifying opportunities for business improvement.
• Data Visualization & Reporting: Create clear and compelling data visualizations and reports to present complex results in an easily understandable format for both technical and non-technical audiences.
• Problem-Solving: Collaborate with various business units to understand their functions and interdependencies, anticipating their data-related needs and providing solutions with appropriate supervision.
• Communication: Effectively communicate findings, insights, and model outputs to stakeholders through strong verbal and written communication.
• Troubleshooting: Use strong analytical and problem-solving skills to troubleshoot data-related issues and ensure data quality.

Qualifications

Education & Experience

• Experience: 0-3 years of relevant experience in data science, analytics, or a related field.
• Education: Bachelor's Degree is preferred, ideally in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.

Skills & Competencies

• Technical Skills: Working knowledge of data analysis and modeling techniques, including statistics, data mining, and machine learning.
• Analytical Prowess: Strong analytical, troubleshooting, and problem-solving capabilities with a basic to moderate ability to identify and resolve issues with supervision.
• Communication: Excellent verbal and written communication skills with a focus on delivering exceptional customer service to internal and external stakeholders.
• Business Acumen: Some understanding of applicable system architectures and a familiarity with enterprise business processes, including business unit functions and their interdependencies.
• Proactivity: Ability to anticipate user requirements and proactively identify opportunities for data-driven improvements

Additional Information

What We Can Offer

• Flexible working hours
• Attractive salary package
• Workplace & work hours flexibility
• Structured learning and development / Mentoring program
• International environment
• Events like International Women's Day, Earth Day, etc.
• A growing and welcoming team with a good spirit

Who we are - Our Story:
Every voice. Every day
Eight Values
. One Team
Being open to every voice, every day, brings our value of diversity to life and makes Avery Dennison a vibrant and engaging place to be. We understand diversity and equal opportunities as enrichment for our future-oriented work. Across our diverse, global team, every voice makes us stronger. When we listen to and learn from each other, there is no limit to what we can achieve together. Each of us is unique, and we appreciate bringing together different personalities and talents.

Avery Dennison is an equal-opportunity employer. In the
EMEA region
, we have these
Employee Resource Groups
:

• EmpoWer- focusing on the engagement, mentoring, and promotion of women
• Mental Health- striving to provide a safe space for employees to discuss mental health issues in the workplace
• Unite- supporting the LGBTQI+ and ally community in the EMEA region

To find out more about
all our employee resources groups globally
as well as our
Diversity, Equity & Inclusion
approach, please go to our Diversity and Inclusion pages in the About Us section of our

At Avery Dennison, we do what we love, and we love what we do - Just click here, and get to know us better:
Life @ Avery Dennison
)

Requisition ID: 60121

Position Type: FT Permanent

About the role

Are you passionate about data and artificial intelligence? Does working in one of the world's largest taste and nutrition companies excite you? Do you have a curious mentality who enjoys a challenge and sees it as an opportunity? We leverage cutting edge technologies using Databricks and Azure OpenAI to develop agentic AI solutions to support the digital transformation of our business. You will get a chance to work with your team on the latest technologies in a great company atmosphere where you can personally grow.

We are looking for a Data Science Manager who will support the Analytics & AI pillar of our Data Science & Engineering CoE. You will lead and coach our team of data scientists. This role requires an individual who is passionate about data science, coaching teams, and delivering high-impact machine learning and generative AI solutions.

The successful candidate will have substantial hands-on experience with Databricks and a proven track record in team leadership and talent development. They are a self-starter, a person who can communicate with both business and technical audiences, looking to inspire and be inspired, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that will support Kerry's Digital Transformation journey.

What will I be doing?

• Lead, coach, and manage a team of data scientists, ensuring they adhere to Databricks platform best practices.
• Foster a culture of continuous learning and professional development, guiding team members to develop their talent.
• Drive strategic data science initiatives from conception to deployment, ensuring alignment with business objectives.
• Collaborate cross-functionally with data engineers, data analysts, AI architects, AI ops engineers, data governance, product owners and other stakeholders to ensure timely and high-quality delivery of projects.
• Oversee the evaluation, selection, and application of machine learning and generative AI techniques/frameworks, ensuring best practices and optimal outcomes.
• Monitor team performance, conduct regular performance reviews, and provide constructive feedback to facilitate professional growth.

What do I need to be successful?

In Kerry we understand that people have very different career trajectories and experiences. In order to be successful in this role we would be looking for the right competencies and aptitudes as well as your proven track record of success in a similar role and environment.

These Include

• Advanced degree (MSc or PhD) in Data Science, Computer Science, or a related field.
• Proven experience leading and managing a data science team.
• Hands-on expertise with the Databricks platform, specifically in machine learning and generative AI applications.
• Strong experience designing, developing, and deploying machine learning models and generative AI solutions in production cloud computing environments.
• Excellent communication and interpersonal skills, with the ability to effectively coach and inspire team members.
• Databricks Certified Machine Learning Professional (strongly preferred).
• Databricks Certified Generative AI Engineer Associate (strongly preferred).

What will I get in return?

At Kerry, we believe in giving talented, curious people the opportunity to make a difference. We work as a team, searching for the best ways to inspire food and nourish life. We are a community of innovators, working across disciplines to solve global food challenges with a fresh approach. We want you to achieve whatever you put your mind to.

We Also Offer

• 25 days annual leave (excluding bank holidays)
• Hybrid working
• Free onsite parking
• Free onsite gym
• Free shuttle bus from Sallins train station to our offices in Naas
• Health Care Cover
• Matched pension scheme
• Benefits platform offering discounts and cashback on major retailers.

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

Get in touch today

In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles, and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally.

Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status or any other protected characteristic.

Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.

Please note: We do not accept CVs or candidate profiles from recruitment agencies where Kerry terms of business have not been signed. Additionally, we will not consider or agree to payment of any recruiter fee under these circumstances. This also applies to CVs or candidate profiles sent directly to any Kerry Hiring Managers.