ML Engineer
Scheduling isn't simply filling shifts. It's finding the sweet spot that enables businesses to grow and team members to enjoy the perfect work/life balance. At Planday from Xero, we aim to use Agentic AI to build a future where managers can seamlessly free up invaluable time for their business and teams. We're not just building software: we're on a mission to make shift work more human, to change work/life balance from a luxury to a reality for all shift workers. We're using advanced technology to help humans reach their full potential. At work and in life. Founded in 2004, Planday is headquartered in Copenhagen, Denmark and helps create perfect schedules for hundreds of thousands of users across the world.How You’ll Make an ImpactAs a Machine Learning Engineer, you'll play a key role in shaping intelligent, human-centered features across the Planday platform. You'll apply your ML expertise to complex business domains like scheduling, onboarding, and payroll — helping build tools that are as smart as they are impactful. You’ll be part of a cross-functional, collaborative team working on high-impact initiatives in a supportive, innovation-driven environment. What You’ll Do
Understand complex domains: Investigate challenges in scheduling, staffing, onboarding, and compliance
Prototype and test: Build ML pipelines and run experiments to evaluate and refine model performance
Deploy at scale: Bring your solutions to life in production using modern ML and LLMOps tooling
Collaborate and co-create: Work closely with product managers, engineers, and designers to ship useful, intelligent features
Contribute to team growth: Share learnings, contribute to best practices, and grow alongside a curious, motivated team Success Looks Like
Live Planday’s values: Embed our mission and values in your work, helping others stay connected to our vision
Communicate openly: Share context, offer and request feedback, and keep stakeholders aligned
Build trust: Earn credibility as a dependable teammate who brings insight, curiosity, and quality to every collaboration
Growth & learning mindset: Continuously seek ways to improve yourself and your work. Stay up-to-date with ML advances, explore new techniques, and share your learnings with the team
Deliver value: Focus on solving real customer problems with creative, practical ML solutions that ship
Work collaboratively: Tackle challenges with empathy, exchange ideas freely, and support others through problem-solving and iteration What We’re Looking For
We’re seeking someone with solid, hands-on experience in applied machine learning and a strong foundation in modern ML techniques and tooling. You don’t need to be an expert in everything, but you should be eager to learn and ready to contribute.Proven experience developing ML models in real-world scenarios
Proficiency in Python and core ML frameworks
Strong grasp of statistics and core ML techniques — both traditional and generative
Experience with LLMOps practices such as prompt engineering, deployment, and lifecycle management of large language models
Strong understanding of model evaluation methodologies and experience building robust evaluation solutions
Familiarity with MLOps tooling for monitoring, automation, and reproducibility
Bonus: Experience with .NET (C#), Azure, or JavaScript/TypeScript At Planday, we offer you
Benefits like pension, health insurance, inclusive support for new parents and generous vacation
On top of your annual base salary, you are offered to be part of an Employee Share Plan
Growth and progression opportunities – we want you to grow with us
Flexible remote work
Strong social culture with lots of team and company activities
Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe
Healthy work-life balance and autonomous approach to work. We trust in you and your abilities Additional Information
Finally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work.
At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture, and we highly value the strength that diverse backgrounds offer.
As an equal opportunity employer, we strive to create an equitable experience for all our candidates throughout the process. Please let us know if you need reasonable accommodation during the application or interview process.
All applicants will be considered for employment without attention to any personal characteristics.
Apply Now
Understand complex domains: Investigate challenges in scheduling, staffing, onboarding, and compliance
Prototype and test: Build ML pipelines and run experiments to evaluate and refine model performance
Deploy at scale: Bring your solutions to life in production using modern ML and LLMOps tooling
Collaborate and co-create: Work closely with product managers, engineers, and designers to ship useful, intelligent features
Contribute to team growth: Share learnings, contribute to best practices, and grow alongside a curious, motivated team Success Looks Like
Live Planday’s values: Embed our mission and values in your work, helping others stay connected to our vision
Communicate openly: Share context, offer and request feedback, and keep stakeholders aligned
Build trust: Earn credibility as a dependable teammate who brings insight, curiosity, and quality to every collaboration
Growth & learning mindset: Continuously seek ways to improve yourself and your work. Stay up-to-date with ML advances, explore new techniques, and share your learnings with the team
Deliver value: Focus on solving real customer problems with creative, practical ML solutions that ship
Work collaboratively: Tackle challenges with empathy, exchange ideas freely, and support others through problem-solving and iteration What We’re Looking For
We’re seeking someone with solid, hands-on experience in applied machine learning and a strong foundation in modern ML techniques and tooling. You don’t need to be an expert in everything, but you should be eager to learn and ready to contribute.Proven experience developing ML models in real-world scenarios
Proficiency in Python and core ML frameworks
Strong grasp of statistics and core ML techniques — both traditional and generative
Experience with LLMOps practices such as prompt engineering, deployment, and lifecycle management of large language models
Strong understanding of model evaluation methodologies and experience building robust evaluation solutions
Familiarity with MLOps tooling for monitoring, automation, and reproducibility
Bonus: Experience with .NET (C#), Azure, or JavaScript/TypeScript At Planday, we offer you
Benefits like pension, health insurance, inclusive support for new parents and generous vacation
On top of your annual base salary, you are offered to be part of an Employee Share Plan
Growth and progression opportunities – we want you to grow with us
Flexible remote work
Strong social culture with lots of team and company activities
Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe
Healthy work-life balance and autonomous approach to work. We trust in you and your abilities Additional Information
Finally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work.
At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture, and we highly value the strength that diverse backgrounds offer.
As an equal opportunity employer, we strive to create an equitable experience for all our candidates throughout the process. Please let us know if you need reasonable accommodation during the application or interview process.
All applicants will be considered for employment without attention to any personal characteristics.
Apply Now