Machine Learning Engineer
Rohlik
| Company | Rohlik |
| Category | Engineering |
| Location | Prague |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 2 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
COMPANY OVERVIEW
Europe's leading online grocery delivery service. Using technology to deliver weekly shopping (25 000 SKUs) in less than three hours in 15 minute time slots, saving our customers time and giving them freedom and flexibility.
The world needs a better food system, one that is more sustainable, more inclusive and which brings healthier and more personalised food to all. Rohlik Group is leading this change. In every city we carefully select the best quality and freshest local produce to save our customers time; from butchers to bakery, and fresh produce directly from farmers via our unique Farm-to-Door program. We carry all the favourite brands, plus a range of affordable own-label products, so our customers don’t miss out on what they love.
DEPARTMENT OVERVIEW
We develop solutions to optimize and automate operational and tactical decisions in Rohlik. We design and implement mathematical optimization models, simulation frameworks, and decision support systems to solve complex business problems. This position will directly support our workforce planning, shift scheduling, and supply chain efficiency initiatives.
ROLE OVERVIEW
This role's mission is to engineer the future of our company by building an autonomous and intelligent backbone for our core business processes. We are seeking a systems builder who is passionate about deploying production-grade ML to solve complex, real-world problems. You will build, deploy, and maintain features on our critical ML services. Working within our established architecture, you will solve complex technical challenges and ensure the reliability of our ML-powered products. Your key stakeholders will be business and product leaders from various departments.
WHAT WE EXPECT FROM YOU / THE POSITION TO PERFORM
MAIN DELIVERABLES
- Owns:
- Owns the development and maintenance of specific features and components within our ML services..
- Contributes to the development and fine-tuning of our predictive engines., including models for forecasting, planning, and process optimization.
- The full MLOps lifecycle for business-critical ML services, including building robust CI/CD pipelines and implementing comprehensive observability and monitoring.
- Partners with:
- Business and product leaders to identify high-impact use cases for machine learning and AI.
- Provides input to:
- Actionable business improvements by translating complex algorithms and data insights into pragmatic solutions.
- Supports:
- The automation of decisions and minimization of manual intervention in core business processes through the use of AI and machine learning.
- The continuous enhancement of our business capabilities by proactively exploring and experimenting with new ML/AI trends.
SKIP THE WAIT — APPLY INSTANTLY WITH ALEX
Instead of waiting for your application to be reviewed, you can start the hiring process immediately by chatting with our AI Interviewer, Alex. In a short conversation, Alex will guide you through the initial screening, provide more information about the role, and answer any questions you may have.
Completing the conversation with Alex is considered your official application for this position.
By clicking the link and proceeding, I confirm that I have read and understood the Privacy Policy https://s3.eu-central-1.amazonaws.com/cdn.rohlik.cz/202509_Group_Privacy_Policy_Candidates_EN_final.pdf.
Apply with Alex: https://app.talentpilot.com/interview/tmdQK3D9EHw8bSVl3aC3
WHAT WE LOOK FOR / WHAT WE REQUIRE
REQUIRED
- Foundational Experience: A strong background with proven proficiency in Python and SQL.
- Core ML Expertise: Proven, hands-on experience building and deploying time-series forecasting models for real-world applications and deep expertise in applying general ML methods to business challenges.
- Strategic & Collaborative Skills: A pragmatic, product-oriented mindset with a focus on delivering pr
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