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.
Are you a Senior ML Engineer with practical experience in solving real-world business problems for our London-based development team working in a newly formed high impact area? At Planday we help build successful businesses and improve the working lives of ordinary people, and we have a job for you.
How you’ll make an impact
As a Senior ML Engineer, you will need to understand how your technical solutions will help to implement our product vision, and that you have a passion for collaborating with many different people to achieve overarching goals. We are looking for a ML engineer who is driven to find innovative solutions for our customers and partners.
We are looking for a person that loves taking complex business problems and solving them using artificial intelligence and machine learning technologies.
If you want to apply your skills in a rapidly growing Software-as-a-Service platform, that has hundreds of thousands of real world users who want AI/ML solutions, while having fun with your colleagues, then look no further.
The role is based in London, but will require some travel to the engineering teams in Copenhagen and Denmark.
What you’ll do
- Analyse and refine: Complex business problems in the onboarding, scheduling, staffing, payroll and business rules domains
- Experiment: Effective evaluation pipelining, systematically assessing model performance & deriving insights
- Deliver into a production environment: Productionise your work using the latest machine learning technologies
- Belong: Be part of creating a strong creative cross-functional product team, designing, building and delivering new features and new products
Success looks like
- Live Planday’s vision and values: Keep Planday’s vision and values at the forefront of decision-making and actions. Communicate and help others understand the importance of the vision and values. Translate the vision and values into day-to-day activities and behaviours.
- Communication skills: Proactively share information, actively solicit feedback, manage and facilitate communication if needed.
- Build relationships: Successfully build friendship, trust and credibility with colleagues and team. Be seen as a key 'go to' person for advice. Create strong relationships within Planday to promote Planday as a strong player in AI, agents and customer problem solving.
- Growth mindset: Relentlessly look for opportunities to grow yourself and the organisation. Understand that competency is not fixed but is enhanced through dedication and hard work. Coach and provide feedback to others on development plans.
- Innovation and delivery: Constantly innovate and deliver technology in a team and solve customer problems by any means necessary.
- Coaching and mentorship: Teach groups of colleagues and contribute to Planday's shared knowledge base.
- Work collaboratively: Help individuals resolve difficult problems with empathy, exchange ideas, demonstrate conflict management skills.
- Self-learning: Maintains in-depth knowledge of advances and learnings in technologies relevant to Planday’s environment.
We are looking for someone with some of the following experience
- Hands-on experience in applying ML in practical scenarios on multiple productsProficiency in the Python programming language
- Strong understanding of statistics and the foundations of machine learning, traditional and generative
- MLOps / LLMOps
- It would be beneficial if you have knowledge/experience with the following – but we want to hear from you even if you don’t.
- Experience with cloud deployment of AI/ML
- Knowledge of discrete optimization techniques and operations research, especially knowledge of metaheuristics
- Experience building evaluation pipelines
- Proficiency in .NET (C#), Azure, and 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
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.
