14 Neural Networks jobs in Ireland

We're looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You'll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

If you can't see what you're looking for right now, send us your CV anyway - we're always getting fresh new roles through the door.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi-cultural and multi-location organization - an advantage Team player, responsible, delivery-oriented, details-oriented Outstanding communication skills Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. PayPal is on a mission to revolutionize commerce globally. We're driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at Learn more about privacy-related questions or data retention. 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0603 PayPal Europe Services Limited

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Machine Learning , NLP

Company Overview

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 company in e-signature and contract lifecycle management (CLM).

What you'll do

Docusign is looking for a passionate and experienced Engineering Manager to lead a team of machine learning engineers in building industry-leading state-of-the-art AI/ML solutions. You will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding. You will be responsible for overseeing the development and deployment of production-level machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Platform.

This position is a People Manager role reporting to the Director of Docusign.

Responsibility
• Lead and mentor a team of machine learning engineers in model development, deployment, testing, and evaluation of existing and emerging deep learning methods and technologies that can be effectively applied to the contract domain
• Guide the team in applying the latest architectures and technologies to build Docusign IP and solve complex NLP challenges including, but not limited to, generating representations, text understanding, semantic retrieval, contextual extractions, and summarization
• Foster a deep understanding within the team of the technologies, methods, and architecture within Docusign product development
• Define, improve, and assist the team with existing model training, evaluation, and online inferencing processes, establish online metrics, and design user feedback mechanisms for our AI/ML features
• Collaborate closely with engineering partners to deploy models into production, build scalable AI systems, and monitor and improve performance metrics
• Work closely with Product Management to translate user scenarios and product requirements into designs and plans for robust, customer-agnostic machine learning solutions

Job Designation

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.

What you bring

Basic
• Bachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field
• Minimum of 6-8 years of relevant professional experience with a Bachelor's degree; 5-7 years with a Master's degree; or 5+ years with a PhD, or equivalent combination of education and experience
• Experience in leading and managing machine learning engineering teams
• Experience in the research, development, fine-tuning, and deployment of large language models (e.g., GPT, Llama, etc.) in production environments
• Understanding of LLM architectures, tokenization, attention mechanisms, prompt engineering, and transfer learning
• Familiarity with standard processes for optimizing LLM performance, efficiency, safety, and alignment

Preferred
• Demonstrated experience developing and deploying large scale document understanding models in production
• Experience with pre-training and/or supervised fine-tuning of transformer-based models using large-scale datasets
• Experience in the latest NLP techniques including LLMs and language representations
• Experience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfs
• Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning
• Extensive experience in data collecting, cleaning, sampling, and processing large, diverse structured or unstructured datasets

Life at Docusign

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.

Applicant and Candidate Privacy Notice

Docusign

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Language Modeling , Machine Learning , NLP , OCR

Join Tether and Shape the Future of Digital Finance

At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that's just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that's not only revolutionary but also accessible, transparent, and privacy-focused.

We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. You will be instrumental in pushing the boundaries of what's possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.

Responsibilities

• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.

• Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.

• Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.

• Maintain high standards of code quality, organization, and automatization across all projects.

• Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.

• Write and revise papers, participate in conferences, communicate and disseminate results.

Basic Qualifications:

• Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.

• 3+ years of experience of working in industry or research.

• Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.

• Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.

• Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.

• Proficient in managing unstructured datasets with strong analytical skills.

• Demonstrated project management and organizational skills.

• Proven ability to support and collaborate with cross-functional teams in a dynamic environment.

Preferred Qualifications:

• PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.

• Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne, SFN, CNN ecc) or peer reviewed journals

• Familiarity with deep learning libraries such as Pytorch, Huggingface, Transformers, Accelerator and Diffuser.

• Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs.

• Experience with data and model visualization tools.

• Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc).

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page:

• Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.