Design and deploy ML systems, integrating models into production, and leveraging cloud platforms for scalability. Collaborate with teams on AI features and ensure compliance with data privacy standards.
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?
Senior Machine Learning Engineer (d/f/m)
This role will be Hybrid, based in either our Dublin, London, or Munich office 2 days a week.
Role Responsibilities: What you'll do
What you need to succeed
What's a plus?
Why this role?
Why Personio?
We're one of Europe's fastest-growing tech companies, building the leading HR platform for SMEs. With over 15,000 customers, offices across Europe, and strong backing from top-tier investors, Personio is scaling fast - and AI is a critical enabler of that growth.
We're also proud of our culture:
Senior Machine Learning Engineer (d/f/m)
This role will be Hybrid, based in either our Dublin, London, or Munich office 2 days a week.
Role Responsibilities: What you'll do
- Design, develop, and deploy robust machine learning and AI systems for a range of products and use cases, including generative AI.
- Integrate ML and AI models into production systems, ensuring scalability, reliability, and maintainability.
- Deploy and monitor machine learning models and systems, including CI/CD pipelines, automated testing, monitoring, and model versioning.
- Leverage cloud platforms (AWS + Snowflake) and ML infrastructure (e.g., SageMaker, feature stores) for scalable deployment.
- Collaborate with cross-functional teams (Product, Customer Experience, and other engineering teams) to deliver AI-driven features and insights.
- Ensure all ML/AI solutions adhere to best practices in data privacy, security, and ethical standards.
- Contribute to a culture of technical excellence, knowledge sharing, and continuous learning.
What you need to succeed
- University degree in Computer Science, Machine Learning, Data Science, or a related field.
- 5+ years' experience building and deploying production-grade machine learning models.
- Strong software engineering mindset - ability to write clean, reusable, and scalable code in Python.
- Experience integrating ML/AI models into production software systems.
- Solid understanding of MLOps practices, CI/CD pipelines, and automated testing frameworks.
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience working with backend teams and deploying end-to-end products
What's a plus?
- Background in data science: comfort with experimentation, A/B testing, and measuring ROI/impact of ML projects (not just accuracy).
- Experience with NLP or generative AI techniques.
- Familiarity with cloud-based ML infrastructure (AWS, Snowflake, SageMaker, etc.).
Why this role?
- Join a recently created AI team focused exclusively on delivering LLM and ML-powered projects with real business impact.
- Work in a lean, well-supported environment focusing on real use cases and improving our users experience.
- Full ownership of end-to-end ML delivery: from prototype to production.
- Exposure to high-impact use cases backed by executive sponsorship - high visibility within the organization to build impactful products.
Why Personio?
We're one of Europe's fastest-growing tech companies, building the leading HR platform for SMEs. With over 15,000 customers, offices across Europe, and strong backing from top-tier investors, Personio is scaling fast - and AI is a critical enabler of that growth.
We're also proud of our culture:
- A diverse, inclusive workplace where your voice matters.
- Competitive compensation, equity, and benefits.
28 days' vacation, plus an additional day after two and four years. - Flexible, office-led but remote-friendly working with the option for international work weeks.
- Mental health support, family leave, Impact Days, sabbaticals, and regular team events.
Top Skills
AWS
Hugging Face
Python
PyTorch
Sagemaker
Snowflake
TensorFlow
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