Staff MLOps Engineer

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:

• Recruiter screen
• Hiring manager chat
• Case study presentation (submitted in advance)
• Culture & department interviews
  
  

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