Role overview
Love turning complex problems into smart, real-world solutions? Join Quinyx’s Workforce Optimisation team and help build AI and optimisation features used by thousands of people every day. You’ll work closely with friendly, talented teammates to turn ideas into production-ready ML solutions that make work life easier—while learning, growing, and having fun along the way
The Role
Quinyx’s Workforce Optimisation team is looking for a Machine Learning and/or Optimisation Expert to elevate our algorithms to new heights. Our team plays an important role within the Optimise product area, which is dedicated to enhancing user experience through automation, AI, reporting, and analytics. As a Machine Learning Engineer within the Optimisation team, you will focus on applying your knowledge to expand and maintain our optimisation and automation offering. Our solutions are crucial to the operations of thousands of users and are embedded deep in our software product. This means deliverables are thoroughly tested and mature ML products; our work does not just stop at a Python notebook!
What will your day-to-day look like? Your day starts with a quick morning stand-up to share plans and flag any blockers with the team. After a cup of coffee, you might dive into brainstorming how to translate a new product feature request into a set of variables and mathematical constraints that can be incorporated into our MIP algorithm for assigning shifts. After a good lunch and maybe a walk with colleagues, you’ll start implementing the solution you designed in our Python-based codebase. Later in the afternoon, you might meet with our product manager and engineers from another R&D team to plan how your solution will fit into our microservice-based architecture, and to discuss any internal API updates needed to get the right data. If all goes well, you could even wrap up the day by opening a draft pull request to share your progress with the team!
What we're looking for
- Experience with Mathematical Optimisation Problems (MIP/LP)
- Experience with MLOps or DevOps in a Machine Learning context
- Experience with cloud platforms (AWS)
- Experience with version control systems (Git)
We politely request that CVs be written in English when applying for this role.
Interview process
Ready to join the team? Submit your application below, and we’ll be in touch as soon as possible. We’re excited to hear from you! What our hiring process looks like:
- Fill out a short application.
- Get invited to complete our psychometric and objective assessments through Alva Labs.
- Culture Interview with our Talent team.
- Meet the hiring manager.
- Complete a role-specific assessment (technical questions or case).
- Final interview (in-office).
- References & background checks.
We celebrate diversity and are committed to creating an inclusive environment for all employees - no matter your background, identity, or experience.
*Happy Workforce, Happy Business!