25 Predictive Models jobs in Ireland

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

Identify areas where ML can create value for our customers

Identify the right ML framing of product problems

Working with teammates and Product and Design stakeholders

Conduct exploratory data analysis and research

Deeply understand the problem area

Research and identify the right algorithms and tools

Being pragmatic, but innovating right to the cutting-edge when needed

Perform offline evaluation to gather evidence an algorithm will work

Work with engineers to bring prototypes to production

Plan, measure & socialize learnings to inform iteration

Partner deeply with the rest of team, and others, to build excellent ML products

Broad applied machine learning knowledge

3-5 years applied ML experience

Practical stats knowledge (experiment design, dealing with confounding etc)

Strong communication skills, both within engineering teams and across disciplines.

Comfort with ambiguity

Typically have advanced education in ML or related field (e.g. MSc)

Scientific thinking skills

Track record shipping ML products

PhD or other experience in a research environment

Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

Strong stats or math background

We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

• Relocation support for those moving to our offices

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values .

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.

In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do

• Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in OpenShift AI

• Work closely with the AI Innovation team to help deliver LLM training , continual learning and reinforcement learning techniques across our product portfolio

• Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as Kubeflow

• Liaise with stakeholder groups and cross-functional teams to deliver new product features

• Ensure non-functional requirements including security, resiliency, and maintainability are met

• Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI

• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

• Give thoughtful and prompt code reviews

• Represent OpenShift AI in external engagements including industry events, customer meetings, and open source communities

• Mentor, influence, and coach a distributed team of engineers

What you will bring

• Advanced experience in Python and Go

• Advanced experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies

• Ability to quickly learn, adapt and guide others on using new tools and technologies

• Proven ability to innovate and a passion for staying at the forefront of technology.

• Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them

• Autonomous work ethic, thriving in a dynamic, fast-paced environment.

• Experience providing technical leadership in a global team and delivering on a vision

• Excellent written and verbal communication skills

• A willingness to proactively utilize AI-assisted development tools such as Cursor and Claude Code for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Open to exploring and experimenting with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

The following will be considered a plus:

• While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Understanding of how Open Source communities work

• Experience working with upstream communities

• Familiarity or experience with the MLOps lifecycle , with an emphasis on model training

• Experience writing Kubernetes/OpenShift controllers and operators

• Experience writing SDKs in Python or other languages

About Red Hat

Red Hat () is the world's leading provider of enterprise open source () software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply.

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