Machine Learning Engineer EMEA

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

ML Product Engineer

We’re looking for a seasoned Machine Learning Engineer with a strong software engineering mindset to join our team in building cutting-edge solvers and algorithmic libraries for supply chain challenges—ranging from Promotion Modelling to Capacity Planning and beyond.

As a key contributor, you'll help develop high-performance, scalable algorithms that power automatic decision-making in retail and supply chain contexts. You’ll work closely with data scientists, data engineers, and product teams to ensure our solutions are robust, well-integrated, and deliver tangible value.

What you’ll do for us

• Design and implement advanced algorithms to automate retail and supply chain decision-making.

• Optimize existing solutions to ensure scalability and maintainability in production environments.

• Contribute to internal libraries that integrate seamlessly with the o9 Platform

• Support Data Scientists in applying your algorithms effectively

• Stay current with academic research and bring relevant ideas into production.

What you’ll have

Experience:

• 5+ years of experience in the field of Machine Learning or closely related

• 3+ years of coding experience with either C, C++ or Rust

• Experience with large scale solvers is a big plus.

• Experience with open source contributions is a plus. 

Education:
Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field or Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field
 

Skills: 
 

Algorithms and Domain Knowledge:

• Strong problem-solving skills and the ability to translate business challenges into well-formulated algorithmic solutions.

• Familiarity with Supply Chain concepts (e.g., inventory management, promotions, demand planning) is highly desirable.

Language, Tools and Best Practices:

• Strong programming skills in Rust, C++, or C, with experience building performant, production-grade systems.

• Proficient working knowledge of Python for prototyping and interfaces debugging.

• Solid grasp of professional software engineering practices including:

  • Version control (e.g., Git)

  • Code reviews and collaborative development workflows

  • Testing and continuous integration

  • Familiarity with packaging, dependency management, and releasing production-grade libraries.

Characteristics:

• Strong presentation and communications skills. You thrive in a fast paced, challenging environment, where there is much white space and problem solving is at the heart of what drives your analysis. 

• We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function

• Openness to learn from industry experts as well as willingness to mentor junior engineers.

What we offer

• Competitive Salary – We recognize and reward talent.

• Tech Tools – Choose a Windows or PC laptop, whatever helps you work best.

• Flexible Work – Work from home two days a week—less commuting, more time for what matters. If you're not near one of our offices, remote work is an option.

• Supportive Team – Work alongside a diverse, talented team you can learn from every day.

• Diversity & Inclusion – We celebrate our international workforce and value different perspectives.

• Food & Drink – Enjoy healthy snacks, fresh fruit, teas, and coffees.

How the process works

• Apply by clicking the button below.

• You’ll be contacted by our recruiter, who’ll fill you in on all things o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.

• During the interview phase, you will meet with the Hiring Manager for 30 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.

• Your application has progressed! Meet with a new panel for a final round of interviews for 30 minutes each. 

• Our recruiter will let you know if you’re the successful candidate. Good luck!

More about us… 

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!