62 AI Research jobs in Ireland

About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services –
we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.

About The IRC
Huawei Ireland Research Centre (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts with focus on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

About The Role
We are looking for an Intern AI Research Engineer to work on Huawei Cloud Inference Serving Team. Join us to push the boundaries of what's possible in Distributed AI inference performance and reliability. In this role, you won't be just writing code; you will be also solving some of the most complex and exciting challenges in distributed Inference serving. Your work will directly impact the latency, efficiency, security and stability of our cloud-based AI services.

As part of our networking and gateway infrastructure focus, you'll work on key challenges around low-latency request handling, intelligent load balancing across distributed resources, and building highly reliable, observable systems that can scale to handle massive concurrent traffic while maintaining strict performance and reliability requirements.

Responsibilities

• Develop and optimize core components of high-performance, low-latency AI inference gateway systems
• Implement request routing and load balancing mechanisms to efficiently distribute traffic across available resources
• Build networking optimizations and connection management systems to minimize latency and maximize throughput
• Create observability and monitoring tools for real-time performance analysis and system health tracking
• Develop REST and gRPC APIs that integrate seamlessly with existing ML infrastructure
• Write well-tested, maintainable code and participate in code reviews with the team

Requirements

• Currently pursuing BS/MS in Computer Science, Computer Engineering, or related field
• Strong programming fundamentals with experience in systems languages (Rust, Go, C++, or Java)
• Solid understanding of networking concepts including HTTP, TCP/IP, load balancing, and distributed systems
• Experience with concurrent programming, async patterns, and multi-threaded applications
• Knowledge of API development, web services, and service-oriented architectures
• Understanding of performance optimization techniques and system profiling

Preferred

• Strong candidates would understand transformer architectures and internals, and might have hands-on experience with model serving infrastructure, quantization techniques or building APIs around large language models
• Hands on experience with Rust programming language and its async ecosystem
• Familiarity with gRPC, Protocol Buffers, and high-performance RPC frameworks

What You'll Gain
This internship provides deep hands-on experience with modern systems programming and large-scale distributed networking infrastructure. You'll work closely with experienced engineers who will guide you through complex technical challenges in building production AI serving systems. The role offers valuable exposure to cutting-edge technologies like Rust async programming, high-performance networking, and observability systems, giving you skills that are highly valued across the industry. You'll contribute to real systems that handle production traffic while learning best practices in reliability, performance, and scalable system design.

Privacy Statement
Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received.

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.

Team Overview
KKR is investing in a newly created AI, Data and Platform Technology team. We are dedicated to engineering transformative platforms that drive strategic business outcomes and enhance competitive advantage. With a key focus on innovation and scalability, engineers collaborate to develop data-driven solutions that drive KKR's investment strategies and operational efficiencies. Experience the excitement of leveraging cutting-edge engineering at the forefront of financial technology, where your contributions accelerate growth and sustainable success.

KKR's Technology team is pivotal in building and supporting the firm's technological foundation. Recognized as a key business enabler, technology at KKR accelerates global scale and business transformation. The team drives excellence by evolving technology into platform-based capabilities, enhancing agility and business impact.

Position Summary
We are seeking a seasoned Senior AI Engineer for development and deployment of cutting-edge Generative AI and ML solutions. This role requires a deep understanding of cloud-native architecture and proficiency in Python programming. Experience with financial data is highly desirable. The ideal candidate will possess a strong foundation in machine learning, data analysis, and a passion for building scalable AI systems that drive innovation and efficiency.

Key Responsibilities

• Design, develop, and deploy AI framework components for enterprise and commercials utilization
• Integration of Large Language Models and Research Augmented Generation Platforms
• Architect and implement scalable, secure, and cost-effective AI solutions on cloud platforms such as AWS, GCP, and/or Azure.
• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.
• Optimize model performance through hyperparameter tuning, A/B testing, and continuous monitoring.
• Document processing at scale with embeddings and indexing for Semantic Search.
• Knowledge Graph integration.
• Develop and maintain CI/CD pipelines for AI Agents deployment.
• Application usage and observability capabilities.
• Ensure compliance with data privacy regulations and implement ethical AI practices.

Qualifications
REQUIRED

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in AI/ML, Generative AI, and software engineering.
• Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch.
• Demonstrated experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services.
• Strong understanding of machine learning algorithms and data structures.
• Database and SQL experience.
• Excellent problem-solving skills and the ability to work independently.

Preferred

• Experience with financial datasets, including time-series data and market analytics.
• Familiarity with MLOps practices and tools.
• Knowledge of data privacy regulations and ethical considerations in AI.
• Strong communication skills and experience working in cross-functional teams.

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.

The AI Specialist in Biomedical Research (BR) is a unique role at Novartis that intends to attract the best early career talent in AI to tackle human disease. As a leading pharmaceutical company, Novartis is committed to meet the rising global demand for AI research and leadership in the Life Sciences.

This role is part of a new program that offers training opportunities for individuals leveraging a strong background in AI to the continuum of drug discovery and development. AI Specialists in Biomedical Research at Novartis will be part of a multi-disciplinary team working on cutting-edge projects to discover new lifesaving and life-changing medications, helping people across the world, thus reimagining medicine, together.

Location: Dublin, Ireland

The AI Specialist in Biomedical Research (BR) is a unique role at Novartis that intends to attract the best early career talent in AI to tackle human disease. As a leading pharmaceutical company, Novartis is committed to meet the rising global demand for AI research and leadership in the Life Sciences.

This role is part of a new program that offers training opportunities for individuals leveraging a strong background in AI to the continuum of drug discovery and development. AI Specialists in Biomedical Research at Novartis will be part of a multi-disciplinary team working on cutting-edge projects to discover new lifesaving and life-changing medications, helping people across the world, thus reimagining medicine, together.

Be a part of our exciting early career program and apply your expertise in Artificial Intelligence to improve the lives of others In this 12–24-month program, you will contribute to cutting-edge drug discovery by building and leveraging advanced AI models. Expand your professional network, help shape how the next advanced medicines are discovered and thrive in our collaborative and dynamic environment.

AI Specialists execute projects under the guidance of a BR AI scientist for 12-24 months. This 12-24 month program will be focused on tackling specific Use Cases within Biomedical.

• Design, develop, and evaluate novel deep neural network architectures to solve the scientific problem at hand.
• Communicate and present results to both deep technical experts, as well as non-technical subject matter experts.
• Help deploy and drive engagement and adoption throughout the broader scientific and data science communities in BR.
• Drive AI initiatives by working effectively with cross-functional teams, including R&D, IT, and business units

• Postgraduate degree in Statistics, Physics, Computer Science, or Applied Mathematics
• Experience executing and delivering AI driven projects
• Excellent verbal and written communication skills to articulate complex AI concepts to non-technical stakeholders
• Proficiency with algorithm development, deep neural network creation and evaluation, model deployment and evangelism
• Identify problems where to apply AI solutions
• Data stewardship: ability to work with big and complex datasets, assemble, and prepare data for AI use.
• Deep Neural Networks: expertise in architecting and delivering deep models from end to end
• Collaboration: eagerness to work with people from a variety of backgrounds – from technical to scientific to executive management
• Communication: willingness to learn how to tailor communications and presentation to the audience involved

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally:

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally:

Division

Biomedical Research

Business Unit

Universal Hierarchy Node

Location

Ireland

Site

Dublin (NOCC)

Company / Legal Entity

IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area

Data and Digital

Job Type

Full time

Employment Type

Regular

Shift Work

No

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Python & AI Technical Lead

Ireland – Dublin

6 months extendable

Candidates who having
Agentic AI development and AI / ML development.

Skill (Any 2 is Must)

Mandatory (Yes / No)

Proficiency in Python & AI Frameworks (LangChain, LlamaIndex)

Yes

Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic)

Yes

Knowledge of Agentic AI Patterns (Planning, Tool Use, Memory)

Yes

Integration with APIs, Databases, and External Tools

Yes

Understanding of Prompt Engineering & RAG (Retrieval-Augmented Generation)

Yes

JD

• Design and develop AI agents capable of autonomous decision-making and task execution.

• Integrate LLMs (Large Language Models) with external tools, APIs, and workflows.

• Implement reasoning, planning, and memory capabilities in AI agents.

• Optimize agent performance for scalability, reliability, and cost-efficiency.

• Collaborate with data scientists, engineers, and business teams to deliver AI-driven solutions.

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as a Senior Software Engineer on our Software Engineering Team in Dublin, Ireland

What you'll achieve

As a Senior Software Engineer, you will work on Dell's portfolio of rack-scale AI servers and develop automation scripts for rack integration. You will also develop software for AI server development and perform performance benchmarking.

You will:

• Contribute to the design and architecture of new or re-engineered software/storage environments
• Prepare written software/storage specifications for sophisticated products from architectural diagrams and documents
• Build and review design, functional, technical and user documentation
• Develop, review and implement test strategies for software products and systems

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

• 5+ years' applicable experience or equivalent skill; must have expertise in a full stack development environment and experience in Agile software development
• Skilled in Python and Shell with ability to code/debug sophisticated programs using written or verbal design specifications
• Knowledge of server architecture (including CPU, GPU, DIMM and networking), various operating systems, embedded software, firmware, BIOS, device drivers, databases, application administration, tools and utilities
• Ability to achieve proficiency using new tools, languages and operating systems with training and on-the-job experience

Desirable Requirements

• Bachelor's degree

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at

Who we are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Job ID:R

About xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.

All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

xAI was first in the world to build a 100k GPU cluster on an ethernet network and then did it again in 92 days, floors, walls and all. We need an engineer with deep experience in RoCEv2 that can develop at hyper scale while optimizing performance and availability. 

xAI is building at a furious pace with the latest hardware to help people understand the universe. To make the next significant leap forward, we need to own our own destiny by understanding our current network performance and availability and then optimize it to our training models and how we execute customer inference queries. You will spend most of your days deep inside  NCCL, building metric dashboards and tweaking configurations to ensure no performance is left on the table. You will help design the next iteration of our backend and front-end networks that will allow us to seamlessly build-out new GPU infrastructure with little to no engineering assistance.  

There will be a significant amount of travel to Memphis for building more capacity as well as participating in a team on-call rotation and helping on other scaling and maintenance efforts. This will become easier as we build out the team and engineers contribute to deployment and operations frameworks to remove repetitive tasks.

Location

We have 2 openings, one based in Palo Alto, California and the other in Dublin, Ireland. There will be significant travel expected to Memphis, Tennessee for data center buildouts and to the head office in Palo Alto for team collaboration.

Basic Qualifications

• A minimum of 10 years designing and operating large scale networks with 5 years in the ethernet AI/HPC space.
• Deep understanding of congestion control on ethernet with Infiniband an added bonus.
• Deep understanding of AI training and inference workloads and how they operate on the network. As part of this you are able to use and debug NCCL and potentially commit to the library.
• Expertise in creating a portfolio of metrics for performance and operations to optimize the fleet for training and inference traffic.
• Experience with Python to automate away repetitive tasks and facilitate your daily job working with and analyzing large sets of data.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to an initial interview (45 minutes - 1 hour) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of five interviews:

1. Coding assessment in a language of your choice.
2. Data center network technologies and RoCEv2.
3. Manager Interview.
4. Meet and greet with the wider team where you will run through a presentation of a body of work you are proud of.

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer.

California Consumer Privacy Act (CCPA) Notice

Our client is seeking a Machine Learning Engineer/ Artificial Intelligence Engineer to contribute to the development and deployment of advanced ML and AI solutions. This position offers diverse responsibilities, including leading a small team of machine learning engineers and collaborating closely with cross-functional groups to deliver solutions. The successful candidate will be instrumental in driving innovation and leveraging AI/ML expertise to enhance the financial lives of customers worldwide.

Key Responsibilities

Lead and manage machine learning projects from initial concept through to production deployment, fostering relationships with business partners and cross-functional teams. Work closely with business leaders and subject matter experts makers to define success criteria and enhance new products, features and models.

Collaborate with data scientists to interpret, train, and design machine learning models tailored to business needs. Partner with infrastructure teams to enhance the architecture, scalability, and performance of the machine learning platform. Construct optimised data pipelines for efficient feeding of machine learning models.

Extend existing machine learning libraries and frameworks as required for project success. Develop processes, monitoring systems, and governance frameworks to ensure successful operationalisation of ML models. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for achieving key deliverables.

Establish standards for engineering and operational excellence to ensure a best-in-class ML platform, continuously improving to stay at the forefront of innovation. Design and implement architectural best practices for the delivery of data science use cases.

Skills/Experience Required

Proven experience deploying AI/ML models into production, taking a lead role in these initiatives. Familiarity with AWS SageMaker and Bedrock, and hands-on experience with large language models (LLMs) and Generative AI use cases. Solid practical knowledge of Machine Learning Engineering using Python, Java, and Scala.

Strong foundation in scientific principles such as algorithms, data structures, and multithreading. Experience with Generative AI, including the use of LangChain for Gen AI applications and Retrieval-Augmented Generation (RAG) techniques. Competency with ML and DL libraries such as XGBoost, scikit-learn, TensorFlow, and PyTorch.

Experience building solutions using public cloud platforms (AWS, GCP, or similar) and ML platforms like SageMaker, H2O, or equivalents. Understanding of the ML model development lifecycle, including components such as containers and distinctions between batch and real-time inference endpoints.

Experience developing and deploying production-grade applications with ML inference using automated pipelines on the cloud. Ability to manage relationships in cross-functional environments with multiple stakeholders. Experience working within Agile/Scrum development frameworks. Strong skills in innovation and problem-solving.

Desirable Skills

Experience with search platforms such as Solr or Elasticsearch. Background in building end-to-end recommender systems. Exposure to graph databases and platforms like Neo4j, and experience with CI/CD tools such as Jenkins. Knowledge of the Financial Services, Insurance, or 401K domains. AWS Solutions Architect certification.

Benefits

Competitive salary structure, including bonus, pension, and health care cover. Life insurance, laptop, phone, and access to extensive training resources. Company discounts, on-site parking, and additional employee benefits.

Position Details

Permanent role based in Letterkenny, Co. Donegal. Hybrid working model: three days per week on-site, with the remainder remote if desired.

Candidates must be eligible to work in Ireland or the EU.

For further details or to express interest, please contact David Coyle at or via email

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Docusign is looking for a passionate, talented, and inventive Senior Machine Learning Engineer to help build industry- leading innovative solutions. The MLE will leverage mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences.

This position is an individual contributor role reporting to the Director of Engineering.

Responsibility

• Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal
• Apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods
• Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc.
• Develop a comprehension of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software development end-to-end process as well as the product code and release management process will be essential
• Understand, assist and improve the existing training maintenance and enrichment process
• Work within the Machine Learning team to deploy models to production, using current and emerging machine learning methods and technologies
• Collaborate closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics

Hybrid:

Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

Basic

• 5+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions
• Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning framework
• Strong programming experience in one or more of the following languages - Python, C#, Java, C/C++
• Bachelor's degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field

Preferred

• Demonstrated experience developing and deploying sequence-based Deep Learning models
• Experience in the latest NLP big model technologies like GPT2, BERT, XLNet
• Experience in Computer Vision
• Strong desire to stay ahead of industry trends and technologies with a dedication to continuous learning
• Experience with Machine Learning Concepts
• Training, Validation, Testing, Precision/Recall, Bias/Variance etc
• Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets
• Assist with the development of language agnostic contract clause recognition, including Cyrillic (Russian) and double byte languages such as Japanese, Korean and Chinese

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Take time to unwind with earned days off, plus paid company holidays based on your region.

Take up to six months off with your child after birth, adoption or foster care placement.

Options for 100% employer-paid health plans from day one of employment.

Select retirement and pension programs with potential for employer contributions.

Grow your career with coaching, online courses and education reimbursements.

Paid time off following the loss of a loved one and other life-changing events.