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About the Role
As a Machine Learning Engineer for Agentic AI & ML, you will work at the intersection of research and production. You will collaborate closely with internal stakeholders and customers to translate ambiguous challenges into effective, shipped features. You will work on features throughout the lifecycle - from discovery and model building to production deployment and maintenance. By designing and shipping ML and agentic systems, you will expand the platform's capabilities to fundamentally reshape how business owners run their operations and how workers manage transparency and work-life balance.
Responsibilities
- Build and optimize ML models to enhance and extend Planday, framing problems from real metrics and engineering robust feature pipelines.
- Design and ship agentic systems involving tool use, function calling, and multi-agent orchestration for reliable planning workflows.
- Deploy and operate model services in production, ensuring performance for cost and latency through caching, batching, and quantization.
- Design and run rigorous evaluations, including LLM-as-judge and regression suites, so quality changes are always measured.
- Collaborate on turning research prototypes into reliable, observable production workflows and pipelines.
Requirements
- 3–5 years of hands-on experience designing, building, and deploying machine learning or data systems in production environments.
- Strong collaborative skills; cross-functional partnership is viewed as a feature, not a bug.
- Solid grounding in ML fundamentals (metrics, validation, leakage) and a strong theoretical foundation in AI research.
- Practical experience shipping ML or data systems in production environments, beyond purely academic or notebook settings.
- Strong Python skills, including experience with numerical and dataframe libraries such as NumPy and pandas.
- Experience writing tested, maintainable, and observable code for services deployed to the cloud.
- Hands-on experience with LLM applications and agentic architectures, such as RAG, function calling, or planning workflows.
- Familiarity with data tooling (SQL, dbt, Snowflake/Databricks) and an end-to-end mindset for product building.
- MSc or equivalent experience in a quantitative field.
- Combine a strong theoretical foundation with a pragmatic approach.
- Adept at translating business needs into technical solutions.
- Actively stay informed on relevant frontier developments.
Skills
- Python
- NumPy
- pandas
- SQL
- dbt
- Snowflake
- Databricks
- LLM applications
- Agentic architectures
- RAG
- Function calling
- Planning workflows
Location
- Copenhagen, Denmark
Work Type
- Flexible remote work
Experience Level
- 3-5 years
Education Level
- MSc or equivalent experience in a quantitative field
Salary/Compensations
- On top of your annual base salary, you are offered to be part of an Employee Share Plan
Benefits
- Pension
- Health insurance
- Inclusive support for new parents
- Generous vacation
- Employee Share Plan
- Growth and progression opportunities
- Flexible remote work
- Strong social culture with lots of team and company activities
- Meaningful work
- Healthy work-life balance
- Autonomous approach to work
About the Company
- Planday from Xero is a leading digital solution that uncomplicates everyday scheduling and workforce management by making it easier for businesses and shift workers around the world to communicate, collaborate, and get work done.
- Powered by a community of local industry experts, Planday provides a best-in-class digital platform that is easy to use, accurate, secure, and compliant with local needs and standards.
- From payroll and accounting to POS and reporting, its open API and tech ecosystem is scalable to fit shifting business needs and to build an engaged, flexible workforce.
- Founded in 2004, Planday is headquartered in Copenhagen, Denmark and supports over 400,000 users across Europe, Australia and the US.
- Planday was acquired by Xero in 2021.
Equal Opportunity
- At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture. As an equal opportunity employer, we strive to create an equitable experience for all candidates throughout the process. Please let us know if you need any reasonable adjustments during the application or interview process.