# Principle Machine Learning Engineer at Workday

Workday is hiring a Principle Machine Learning Engineer in Dublin, Ireland. It pays €116k-€174k a year and Level rates it Builds AI ●●●●; you can [apply on Workday](https://jobsbylevel.com/go/edb63df8-4843-43c8-ad8f-6ed9ef140a25?utm_medium=ai-agent).

AI Level 4, AI centrality 97 out of 100. Ireland, Dublin.

## Details

- Company: [Workday](https://jobsbylevel.com/companies/workday)
- AI level: AI Level 4 (score 97 out of 100)
- Location: Ireland, Dublin
- Salary: €116k-€174k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/edb63df8-4843-43c8-ad8f-6ed9ef140a25?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principle-machine-learning-engineer-at-workday-9a1d57

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principle-machine-learning-engineer-at-workday-9a1d57

## Description

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team The Adoption Team develops intelligent agents and capabilities that enable customers to manage Workday efficiently and maximize their overall experience. As a distributed-systems focused engineering group, we build and scale the agentic administrative tooling which supports Workday's core product suite. About the Role In this senior individual-contributor role as a Principal Machine Learning Engineer, you will bring deep applied ML expertise to a high-performing team of distributed-systems engineers, collaborating on technical strategy and automation across Workday's administration platform. Partnering with Engineering leadership and Product Managers, you will define technical strategy, architect and deploy production-grade ML infrastructure, and support fellow engineers while collaborating with core platform teams to seamlessly integrate machine learning into Workday's administrative systems. Drawing on your extensive industry background, you will work effectively within a collaborative ecosystem, transforming advanced technical capabilities into measurable business impact for Workday customers. Key Responsibilities Design, build, and productionize machine learning models and pipelines that integrate with Workday's platform-level systems. Set technical direction and best practices for ML engineering within the team, including model development, evaluation, deployment, and monitoring. Partner with distributed-systems engineers to ensure ML solutions scale reliably across Workday's multi-tenant architecture. Lead and collaborate on end-to-end ML lifecycle work — from problem framing and data strategy through model training, deployment, and performance monitoring in production. Collaborate cross-functionally with product management, data engineering, and platform teams to identify high-impact opportunities for ML-driven automation and intelligence. Mentor and provide technical guidance to other engineers on ML system design, coding practices, and architectural decisions. Evaluate and introduce new tools, frameworks, and techniques to keep the team's ML practices current and effective. Contribute to the long-term technical roadmap and architecture for ML capabilities within the Ampere team and the broader organization. Lead the architectural design and deployment of Generative AI capabilities and Large Language Model (LLM) applications About You Basic Qualifications 12+ years of professional experience in machine learning engineering, applied ML, or a closely related discipline, with a track record of shipping ML systems to production at scale. Strong software engineering fundamentals, including experience building and operating distributed, production-grade systems. Proficiency with common ML frameworks and languages (e.g., Python, PyTorch/TensorFlow) and with MLOps

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principle-machine-learning-engineer-at-workday-9a1d57

Source: https://jobsbylevel.com/jobs/principle-machine-learning-engineer-at-workday-9a1d57

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