The Staff MLOps Engineer will develop ML infrastructure, build scalable tools for productionizing models, lead technical design, and mentor team members.
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
What We're Looking For
Why Join Us?
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:
Ready to build the future of ML Ops at Personio? Apply now and help us pave the road for intelligent HR.
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.
Top Skills
AWS
BigQuery
Cdk
Databricks
Python
Sagemaker
Snowflake
Terraform
Typescript
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