Staff MLOps Engineer

Data & Systems
Full Time
Berlin, Dublin
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Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our growing team of 1,800+ Personios across Europe and the US are building user-friendly products that delight our 14,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

Staff MLOps Engineer 

About Personio

At Personio, we’re on a mission to transform HR tech across Europe. As one of the fastest-growing SaaS companies on the continent, we’re building an all-in-one HR platform that helps businesses unlock their people's potential.

The Role: Staff MLOps Engineer 

We’re looking for a Staff MLOps Engineer to join our Data Platform Engineering team, contributing to Personio’s company-wide AI & ML initiatives. This is a high-impact role focused on building the foundational infrastructure, tooling, and operational capabilities that enable data scientists and AI engineers to deploy, monitor, and scale models seamlessly.

What You’ll Do

  • Own and shape our ML Ops Platform – Build and evolve the infrastructure that powers internal and product-facing AI capabilities.

  • Develop robust, scalable tooling – Empower internal teams to productionize ML models efficiently with best-in-class observability, security, and deployment workflows.

  • Lead technical design and delivery – Set standards and drive technical excellence across the team.

  • Code hands-on – Work in Python, TypeScript, Terraform, CDK, and interact with tools like Snowflake, SageMaker, Databricks, and BigQuery.

  • Collaborate cross-functionally – Partner with stakeholders across data science, analytics, product, and platform engineering.

  • Mentor and guide – Help upskill team members, especially our mid-level MLOps engineer.

What We’re Looking For

  • 6+ years of engineering experience, ideally building infrastructure for ML/AI systems

  • Proven, production-grade experience deploying and operating ML models at scale

  • Strong experience with modern cloud environments (preferably AWS) and infra-as-code tools like Terraform and CDK

  • Hands-on experience with ML infrastructure components (e.g. SageMaker, feature stores, model versioning, monitoring)

  • Comfortable navigating ambiguity and shaping new capabilities from the ground up

  • Strong coding background and eagerness to stay hands-on in development

Why Join Us?

  • Build something from scratch in one of the hottest spaces in tech

  • Work alongside smart, mission-driven people in a high-autonomy environment

  • Competitive compensation including equity and comprehensive benefits

  • Flexible hybrid work model (50% remote)

Location & Interview Process

Both roles are based in Berlin or Dublin. We welcome candidates across Europe and offer relocation support for those open to moving.

The interview process includes:

  1. Recruiter screen

  2. Hiring manager chat

  3. Case study presentation (submitted in advance)

  4. Culture & department interviews

Ready to build the future of ML Ops at Personio? Apply now and help us pave the road for intelligent HR.


Apply now