# Principal Machine Learning Engineer

**Company**: Workday
**Location**: Dublin
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: €116,000 - €174,000 EUR
**Category**: Engineering
**Industry**: Technology

**Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/Ireland-Dublin/Principle-Machine-Learning-Engineer_JR-0110827?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/principal-machine-learning-engineer-87536a4b-20e/

## Description

We're seeking a Principal Machine Learning Engineer to join our Adoption Team, which develops intelligent agents and capabilities that enable customers to manage Workday efficiently. As a senior individual contributor, 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.

**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.

- 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.

**Requirements:**

- 12+ years of professional experience in machine learning engineering, applied ML, or a closely related discipline.

- 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.

- Ability to work self-directed at a principal level , shaping technical direction, partnering on architecture, and guiding projects from concept to delivery.

- Proven track record of designing, evaluation, and deploying Generative AI models and Large Language Models (LLMs) in enterprise production environments.

- Strong collaboration and communication skills, with experience mentoring engineers and influencing cross-functional stakeholders.

**Nice to Have:**

- Experience working within large-scale, multi-tenant SaaS platforms.

- Background in applying ML to enterprise/administrative platform problems.

- Hands-on familiarity with LLM orchestration frameworks and AI agentic architectures.

- Experience with cloud infrastructure and large-scale data processing systems.

- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field.

**What We Offer:**

- Competitive salary: €116,000 - €174,000 EUR.

- Comprehensive benefits package.

- Flexible work arrangements: spend at least half (50%) of your time each quarter in the office or in the field.

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## Skills

### Required
- Python
- PyTorch
- TensorFlow
- MLOps
- Machine Learning
- Distributed Systems
- Generative AI
- Large Language Models

### Nice to have
- LLM orchestration frameworks
- AI agentic architectures
- Cloud infrastructure
- Large-scale data processing systems

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Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/Ireland-Dublin/Principle-Machine-Learning-Engineer_JR-0110827?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)