63 Nlp Engineer jobs in Ireland

Senior Clinical Data Science Programmer ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise. What You Will Be Doing: Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials. Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process. Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports. Providing guidance on programming best practices, coding standards, and data quality control measures. Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies. Your Profile: Advanced degree in a relevant field such as computer science, statistics, or life sciences. Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python. Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment. Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results. Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes. #LI-RD1 What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply To be considered for this role you will be redirected to our careers page & prompted to create a jobseeker account here. To start the process, click the Continue to Application or Login/Register button below. Benefits: Work From Home

Applications are sought for Ad Astra Fellow - Assistant Professor of Agri-food Systems Data Science within the College of Health and Agricultural Sciences. Applications are invited for the post of Assistant Professor in Agri-Food Systems Data Science at the UCD School of Agriculture & Food Science. This position offers an exciting opportunity to contribute to cutting-edge research and teaching while addressing critical national and global challenges in sustainable food systems. We invite dynamic and ambitious scholars with a strong background in applying artificial intelligence (AI), machine learning (ML) and Multiple Criteria Decision Analysis (MCDA) to complex datasets within agri-food systems. The successful candidate will play a leading role in advancing the School's expertise in agri-food systems modelling, focusing on sustainability and innovation in food production. They will be instrumental in developing a vibrant research agenda, collaborating with interdisciplinary teams, and making significant contributions to both teaching and student mentorship. This position is aligned with UCD's Strategy to 2030, particularly its pillars of Advancing Research and Innovation and Driving Sustainability. The successful candidate will contribute significantly to UCD's mission of addressing pressing societal challenges through impactful research, teaching, and collaboration. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €62,855 - €99,533 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 29th August 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

AI Engineer Location: Dublin Salary: € Hybrid Reperio are working with a prominent tech company who are undergoing major expansion plans within their Data & AI team. To facilitate these plans, they're looking for an experienced AI Engineer to design, develop, and deploy AI-driven applications that solve real-world problems. You'll work with large-scale datasets to train, fine-tune and evaluate models whilst collaborating with data scientists, product managers, and software engineers to bring intelligent systems to life. Requirements: 3+ years' experience in building and deploying machine learning models. Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn, etc.). Solid understanding of data structures, algorithms, and software engineering principles. Experience with cloud platforms (AWS preferred but not required) and MLOps practices. Familiarity with version control (Git) and containerization (Docker, Kubernetes). Experience working with deep learning techniques and NLP architectures Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. Nice to have: Experience with LLMs or Generative AI (e.g., OpenAI, Hugging Face, LangChain). Benefits: Pension Healthcare Bonus Flexible hybrid working If this role as an AI Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: AI Engineer Machine Learning Python NLP Dublin Hybrid Benefits: Work From Home

**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 AI Engineer
Overview
As a Lead AI Engineer at Mastercard, you will be instrumental in designing, building, and scaling AI microservices that transform PoC notebooks into robust, production-ready components. You will play a pivotal role in creating the foundational AI services that power our next-generation solutions, ensuring they are scalable, efficient, and seamlessly integrated into the broader Mastercard ecosystem
Key Responsibilities
Lead the E2E design and development of AI-powered microservices, focusing on modularity, scalability, and reusability, to support various business units and applications
Drive the transition of AI models from notebook-based PoCs and experimental phases into hardened, production-grade components and services, ensuring performance, reliability, and maintainability
Design and implement robust APIs for AI microservices, facilitating seamless integration with existing Mastercard platforms and external systems.
Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost-efficiency.
Work closely with data scientists, MLOps engineers, and product teams to translate business requirements into technical specifications for AI services. Mentor junior engineers on best practices for AI software development and scaling
Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices
Research and evaluate new technologies, frameworks, and methodologies related to AI software development, microservices, and large-scale data processing to continuously improve our capabilities
Ensure all AI microservices adhere to Mastercard's security standards, compliance policies, and ethical AI principles
Qualifications
Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Master's degree preferred
Experience: Minimum of 8+ years of experience in software development, with at least 4 years specifically focused on building and deploying AI/ML-powered applications or microservices in production environments
Technical Skills:
Strong proficiency in Python
Extensive experience in designing, developing, and deploying RESTful APIs and microservices
Proven experience in scaling machine learning models from prototype to production, including familiarity with feature stores, model registries, and inference patterns
Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring
Experience with cloud platforms and their relevant compute, storage, and AI/ML services
Proficiency with containerization technologies
Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models
Experience with distributed computing frameworks (e.g., Spark, Dask) is a plus
Understanding of data governance, data quality, and data security principles relevant to AI/ML applications
Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
Proven ability to lead technical initiatives, drive cross-functional projects, and influence outcomes within a fast-paced environment
#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.

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

MCS Group is delighted to announce an exciting new position for a Senior AI Engineer to join a groundbreaking Irish start up at a critical time in their product development. If you are seeking a challenging role working with the latest tech and want to join a company where your work will be completely integral to their mission then please read on! The Role: Design, build and maintain robust LLM powered processing workflows Develop cutting edge testing suites related to bespoke LLM performance metrics Foster and take the lead in a creative environment when it comes to AI frameworks and models. Monitor performance and own the breaking and fixing of developing complex The Person: Happy to work in a start up environment that is high energy, highly creative and values IN-PERSON collaboration Proven expertise in mathematics and classical machine learning algorithms (Neural networks) Engineering background ideally in start ups with expertise in Typescript/Python. Deep knowledge and expertise of LLMs (Anthropic/OpenAI/HuggingFace) Full right to work in Ireland (Stamp 4/EU Citizenship) The rewards for this position are extensive and encompass a strong base salary and considerable equity DOE. I look forward to discussing with candidates who meet the requirements above. To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Calum Omand Specialist Recruitment Consultant at MCS Group . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles Skills: LLM AI Machine Learning Engineer

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:

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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

**Lead Cyber Security AI Engineer**
**Innovate to solve the world's most important challenges**
Honeywell's Global Security (HGS) and Buildings Automation (BA) lead and influence a dynamic collective of professionals dedicated to refining product development through innovative engineering, strategic component selection, and establishing industry-leading cybersecurity through AI.
You will be part of Honeywell's BA team with the AI Cyber Center of Excellence and driving cybersecurity architecture in AI/ML/GEN-AI with a focus on Engineering solutions for endpoint, mobile, cloud, and standalone products. You will be first a risk and cybersecurity professionals with deep practical experience in testing, designing architecture, and product innovations with AI/ML/GEN-AI.
You will be responsible to develop the definition of good through hands on cyber testing, architecture design. In addition you will work with the CPSO of BA to develop an Engineering Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure BA and Honeywell are able to leverage the latest and the best in the industry; and continues to be cybersecure. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas
**KEY RESPONSIBILITIES:**
+ Drive Honeywell COE Gen AI strategy. Establish current and future state landscape & roadmap with deep consideration of security, safety, and integrity of services.
+ Provide Subject Matter Expertise on Generative AI adoption and Impactful deployment for cybersecurity for internal architecture, third party integration, and custom models.
+ Collaborate with IT, Technical teams, Business SMEs for defining architectural cyber frameworks, common standards and solutions for product engineering
+ Work closely with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
+ Perform Market Research to identify new opportunities, ideas and technology trends for adoption. Collaborate with Vendors and Industry leaders to accelerate adoption of latest technology trends and ideas that have strong business impact
+ Engage with Chiefs, Fellows, other Tech talents and Tech forums to bring alignment of Cyber across SBGs of engineering and IT and maximize cross leverage of best practices/ideas
+ Leverage existing BA and Honeywell ecosystem to collaborate and partner with Universities and Startups to accelerate New Idea evaluation and incubation. Participate in hackathons, and crowd sourcing platforms effectively to progress on cyber 'definition of good'
+ Coach & develop next set of Cyber Researchers, Data Scientists, Leads, Pen-Testers, and Engineering teams
**YOU MUST HAVE:**
+ Overall 10+ years of experience, out of which 5+ years of experience in cyber security identifying security risks, identifying best practices, and developing solutions
+ Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc.
+ Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc.
+ Ability to articulate, document, and produce guides, instruction, and present cybersecurity AI methods and techniques
+ Risk management and cybersecurity certifications and or experience
**NICE TO HAVE:**
+ Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
+ Experience in fine-tuning LLM using LoRA/QLoRA techniques.
+ Develop APIs and microservices to support Gen AI/ML applications.
+ Strong understanding of cloud platforms, particularly GCP, AWS, Azure, for deploying AI applications.
+ Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management
+ Ability to analyze complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
+ Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences.
+ Strong understanding of Business Process, IT Industry Standards
+ Track record of innovation and leadership in productizing AI research
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.