# Senior Machine Learning Engineer at Workday

Workday is hiring a Senior Machine Learning Engineer in Dublin, Ireland. It pays €96k-€144k a year and Level rates it Builds AI ●●●●; you can [apply on Workday](https://jobsbylevel.com/go/e37f7722-268d-4b95-b56f-604701136033?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. Ireland, Dublin.

## Details

- Company: [Workday](https://jobsbylevel.com/companies/workday)
- AI level: AI Level 4 (score 95 out of 100)
- Location: Ireland, Dublin
- Salary: €96k-€144k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/e37f7722-268d-4b95-b56f-604701136033?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-machine-learning-engineer-at-workday-a6e55f

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-workday-a6e55f

## 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 Senior Machine Learning Engineer, you will bring strong applied ML expertise to a high-performing team of distributed-systems engineers, contributing to technical strategy and automation across Workday's administration platform. Working closely with Engineering leads and Product Managers, you will help shape technical approach, build and deploy production-grade ML systems, and support fellow engineers while partnering with core platform teams to integrate machine learning into Workday's administrative systems. Drawing on your solid industry background, you will work effectively within a collaborative ecosystem, turning 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. Apply and help refine 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. Own significant pieces of 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 opportunities for ML-driven automation and intelligence. Provide technical guidance and code/design review to other engineers on ML system design and implementation. Evaluate new tools, frameworks, and techniques to help keep the team's ML practices current and effective. Contribute to the technical roadmap for ML capabilities within the Adoption team. Design and deploy Generative AI capabilities and Large Language Model (LLM) applications About You Basic Qualifications Substantial professional experience in machine learning engineering, applied ML, or a closely related discipline, with a track record of shipping ML systems to production. 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 practices (model versioning, CI/CD for ML, monitoring). Ability to work with a good degree of independence — contributing to technical direction, participating in architecture

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-workday-a6e55f

Source: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-workday-a6e55f

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