Browse Data and AI jobs in Ireland, then compare roles, skills, and adjacent GenAI career paths.

Datadog

<p>As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience.</p>
<p>At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</p>
<p><strong>What You'll Do:</strong></p>
<ul>
<li>Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.</li>
<li>Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.</li>
<li>Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.</li>
<li>Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.</li>
<li>Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.</li>
<li>Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.</li>
</ul>
<p><strong>Who You Are:</strong></p>
<ul>
<li>You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.</li>
<li>You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.</li>
<li>You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.</li>
<li>You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.</li>
<li>You have experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes</li>
<li>Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.</li>
</ul>
<p>Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.</p>
<p><strong>Benefits and Growth:</strong></p>
<ul>
<li>Generous and competitive benefits package</li>
<li>New hire stock equity (RSUs) and employee stock purchase plan</li>
<li>Continuous career development and pathing opportunities</li>
<li>Employee-focused best in class onboarding</li>
<li>Internal mentor and cross-departmental buddy program</li>
<li>Friendly and inclusive workplace culture</li>
</ul>
<p>Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.</p>
<p>#LI-Hybrid</p><div><hr />
<p><strong>About Datadog: </strong></p>
<p>Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank" rel="noopener noreferrer ugc">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank" rel="noopener noreferrer ugc">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank" rel="noopener noreferrer ugc">Datadog Learning Center. </a></p>
<hr />
<p><strong>Equal Opportunity at Datadog:</strong></p>
<p>Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank" rel="noopener noreferrer ugc">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank" rel="noopener noreferrer ugc">Candidate Legal Notices</a> for your reference. </p>
<p>Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank" rel="noopener noreferrer ugc">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications. </p>
<p><strong>Privacy and AI Guidelines:</strong></p>
<p>Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" rel="noopener noreferrer ugc">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank" rel="noopener noreferrer ugc">Interviewing at Datadog AI Guidelines</a>.</p></div>

Staff Engineer - Data Platform Experience

Elastic

<div><p>Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.</p></div><h2>What is the role</h2>
<p>We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.</p>
<p>Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.</p>
<h2><strong>What You Will Be Doing</strong></h2>
<ul>
<li>Lead initiatives within <a href="https://github.com/elastic/elasticsearch/" target="_blank" rel="noopener noreferrer ugc">Elasticsearch</a> to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.</li>
<li>Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.</li>
<li>Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.</li>
<li>Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.</li>
<li>Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.</li>
<li>Write idiomatic modern Java -- Elasticsearch is 99.8% Java!</li>
</ul>
<h2><strong>What You Bring Along</strong></h2>
<ul>
<li>You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.</li>
<li>Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.</li>
<li>You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.</li>
<li>You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.</li>
<li>You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.</li>
<li>You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.</li>
<li>You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.</li>
<li>
<div><span><span>You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.</span></span></div>
</li>
<li>
<div><span><span>You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities</span></span></div>
</li>
<li>
<div><span><span>You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.</span></span></div>
</li>
</ul>
<h2><strong>Bonus Points</strong></h2>
<ul>
<li>You've built things with Elasticsearch before.</li>
<li>You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.</li>
<li>Experience with data storage technology.</li>
<li>You have experience designing, leading and owning cross-functional initiatives</li>
</ul><div><div><div><p>Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  </p>
<p>At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.</p>
<p>The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.</p></div><div>The typical starting salary range for this role is:</div><div><span>€102.700</span><span>—</span><span>€162.500 EUR</span></div></div></div><div><h2><strong>Additional Information - We Take Care of Our People</strong></h2>
<p>As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.</p>
<p>We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.</p>
<ul>
<li>Competitive pay based on the work you do here and not your previous salary</li>
<li>Health coverage for you and your family in many locations</li>
<li>Ability to craft your calendar with flexible locations and schedules for many roles</li>
<li>Generous number of vacation days each year</li>
<li>Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service</li>
<li>Up to 40 hours each year to use toward volunteer projects you love</li>
<li>Embracing parenthood with minimum of 16 weeks of parental leave</li>
</ul>
<p>Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.</p>
<p>We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email <a href="mailto:candidate_accessibility@elastic.co" target="_blank">candidate_accessibility@elastic.co</a><span>.</span> We will reply to your request within 24 business hours of submission.</p>
<p><span>Applicants have rights under Federal Employment Laws, view posters linked below:</span> <a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf" target="_blank" rel="noopener noreferrer ugc">Family and Medical Leave Act (FMLA)</a> <span>Poster;</span><span> <a href="https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf" target="_blank" rel="noopener noreferrer ugc">Pay Transparency Nondiscrimination Provision</a> Poster; </span><a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppabw.pdf" target="_blank" rel="noopener noreferrer ugc">Employee Polygraph Protection Act (EPPA)</a> <span>Poster and <a href="https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf" target="_blank" rel="noopener noreferrer ugc">Know Your Rights</a> (Poster)</span></p>
<p><span>Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.</span></p>
<p>Please see <a href="https://www.elastic.co/legal/applicant-privacy-statement" target="_blank" rel="noopener noreferrer ugc">here</a> for our Privacy Statement.</p></div>

Principal Software Engineer - Vector Search - Elasticsearch

Twilio

<div><p><strong>Who we are </strong></p>
<p>At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a href="https://customers.twilio.com/" target="_blank" rel="noopener noreferrer ugc"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences.</p>
<p>Our dedication to <a href="https://www.twilio.com/en-us/blog/open-work" target="_blank" rel="noopener noreferrer ugc">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.<br /><span>.</span></p>
<p><strong>Hiring and how we work</strong></p>
<p>We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! </p>
<p>Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. <br /><span>.</span></p></div><p><strong>See yourself at Twilio</strong></p>
<p>Join the team as Twilio’s next Machine Learning Engineer.</p>
<p><strong>About the job</strong></p>
<p>This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers.</p>
<p><strong>Responsibilities</strong></p>
<p>In this role, you’ll:</p>
<ul>
<li>Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.</li>
<li>Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions</li>
<li>Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs</li>
<li>Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy</li>
<li>Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback</li>
</ul>
<p><strong>Qualifications </strong></p>
<p>Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!</p>
<p><strong>*Required:</strong></p>
<ul>
<li>Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience</li>
<li>2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.</li>
<li>Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)</li>
<li>Proficiency in Python (preferred) or similar OO language.</li>
<li>Experience utilizing Large (or Small) Language Models within software systems.</li>
<li>Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.</li>
</ul>
<p><strong>Desired:</strong></p>
<ul>
<li>Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production  context</li>
<li>Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI</li>
<li>Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.</li>
</ul>
<p><strong>Location</strong></p>
<ol>
<li>This role will be remote from Ireland.</li>
</ol>
<p><strong>Travel </strong></p>
<p>We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.</p>
<p><strong>What We Offer</strong></p>
<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.</p><div><p><strong>Twilio thinks big. Do you?</strong></p>
<p>We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" rel="noopener noreferrer ugc" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" rel="noopener noreferrer ugc" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts.</p>
<p>So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" rel="noopener noreferrer ugc" target="_blank">please consider other open positions.</a></p>
<p><strong><span>.</span></strong></p>
<p><strong>Stay alert to recruitment fraud</strong></p>
<p>We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @<a href="http://twilio.com" rel="noopener noreferrer ugc" target="_blank">twilio.com</a> email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.<br /><br /><span>.</span><strong> </strong></p>
<p><strong>Twilio is proud to be an equal opportunity employer.</strong> We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.</p></div>

Machine Learning Engineer

Stripe

<h2>Who we are</h2>
<h3>About Stripe</h3>
<p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p>
<h3>About the team</h3>
<p>The Internal System Org is at the core of Stripe to empower business-critical financial domains including Finance and Strategy, Accounting, Tax, Treasury, Product Experience, and GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. We enable and empower Finance and Strategy, GTM, Accounting, and Product teams to achieve business goals through dataset development, data analytics support, dashboards, AI, and operational efficiency enhancements.</p>
<h2>What you'll do</h2>
<p>You're passionate about solving business problems and making a direct impact on the business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g., AI). We're looking for someone with strong communication skills and advanced SQL and analytics abilities. A background in Accounting or Finance, or prior AI experience, is a strong plus, though these can also be developed on the job.</p>
<h3>Responsibilities</h3>
<ul>
<li>Perform data analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill team stakeholders' business needs</li>
<li>Work closely with cross-functional teams, including Finance and Strategy, Accounting, Product, Tax, User Billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth</li>
<li>Work closely with Engineering and Product teams to help define product solutions</li>
<li>Leverage AI tools to improve teamwork efficiency</li>
</ul>
<h2>Who you are</h2>
<p>We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p>
<h3>Minimum requirements</h3>
<ul>
<li>Bachelor's degree in a STEM major (e.g., Computer Science, Mathematics, Statistics, Engineering) and 4+ years of experience in data analysis</li>
<li>Strong problem-solving ability, proficiency with SQL (minimum of 3 years of advanced SQL), and strong understanding of data relationships</li>
<li>Experience working with large datasets</li>
<li>Strong project management skills</li>
<li>Domain knowledge in Finance, Accounting, and GTM</li>
</ul>
<h3>Preferred qualifications</h3>
<ul>
<li>Experience working in fast-paced environments (e.g., high-growth fintech or tech company, management consulting)</li>
<li>Experience working with PMs, Engineers, GTM, Accounting, or Finance teams</li>
<li>Experience working with financial datasets</li>
<li>Experience with AI tools (Claude Code, Kai, etc.)</li>
<li>Qualification in Accounting or Finance, or CPA or CFA certification</li>
</ul>

Data Analyst,  Financial Enablement

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