Senior Machine Learning Engineer - #2700463

Interested in helping reshape the future of retail? We are tackling some of the most challenging problems in machine learning: building personalization systems that understand fashion and turn that understanding into reliable, scalable customer experiences.

WHERE YOU CAN MAKE AN IMPACT:

Machine learning is a core technology at Mapp Fashion. We use it to predict which clothes will appeal to customers, create personalized recommendations, reduce waste, optimize the supply chain, and turn product images and catalog data into rich, actionable metadata. Your work will directly influence shopping journeys and customer communications, both online and in-store.

This is a senior engineering role with real technical ownership. You will help define how machine learning models move from experimentation into production, make architectural decisions, and build systems that remain fast, reliable, and maintainable at scale.

WHAT YOU WILL DO:

• Own the design, implementation, deployment, and evolution of production machine learning systems.
• Design architectures that serve models efficiently under real-world constraints, including large data volumes, reliability, and latency requirements.
• Build and operate ML systems across hybrid infrastructure, spanning cloud environments and our own on-premise data centers.
• Partner closely with Data Scientists to turn experiments and models into robust production capabilities while enabling rapid iteration.
• Make pragmatic technical decisions around model serving, data flows, observability, testing, and maintainability.
• Raise engineering standards for ML systems through strong system design, high code quality, and clear technical direction.
• Apply modern ML tools and approaches where they create measurable value, rather than adding complexity for its own sake.
• Work independently on ambiguous, technically challenging problems while helping others make progress when needed.
  
  

The challenges you may work on:

• Building personalized product recommendations across large and constantly evolving fashion catalogs.
• Developing systems that learn and adapt to customer preferences as shopping behavior changes.
• Deriving rich, useful product metadata from images, catalog data, and other product signals.
• Building reliable model-serving and data-processing systems for high-volume production use cases.
• Balancing model quality with engineering constraints such as latency, scalability, reliability, and operational simplicity.
  
  

THE ASSETS YOU BRING TO THE TEAM:

• Strong experience building production-grade software and taking ownership of systems beyond the prototype stage.
• Hands-on experience implementing and deploying machine learning solutions in production.
• Strong Python and SQL skills, with experience using Spark or comparable large-scale data processing technologies.
• A solid understanding of software architecture, APIs and services, testing, monitoring, and reliable production operations.
• The ability to evaluate trade-offs between model quality, latency, scalability, complexity, and maintainability.
• The confidence to make technical decisions independently, communicate them clearly, and collaborate closely with Data Scientists and Engineers.
• Tenacity, curiosity, and the ability to quickly learn and apply new technologies and approaches.
• A BSc in Computer Science or a related field, or equivalent practical knowledge and professional experience.
  
  

What would set you apart:

• Experience with recommender systems, personalization, ranking, or real-time machine learning.
• Experience with computer vision, multimodal ML, or deriving product understanding from image and catalog data.
• Experience designing or operating scalable model-serving infrastructure or ML platform components.
• A track record of mentoring engineers and improving engineering practices across a team.
  
  

WHAT WE OFFER:

You will join our Data Science and AI team, working closely with Engineers and Data Scientists to build and evolve our machine learning capabilities. We value strong engineering judgment, curiosity, pragmatism, and a willingness to learn and share knowledge.

Depending on your location, we offer fully remote or hybrid working options.

• Our Culture: We are ambitious in what we do, while maintaining a collaborative, down-to-earth, and supportive culture.
• Flexible Ways of Working: We offer a hybrid working model that combines the flexibility of remote work with access to our modern office spaces. You’ll also have the opportunity to work remotely from another EU country for up to two weeks per year (available to employees holding an EU passport).
• Compensation & Benefits: Our benefits package varies by location. Your recruiter will be happy to provide details relevant to your region and answer any questions you may have.
• Make an Impact: Join a company where your ideas matter. We value initiative and empower our people to help shape the business, influence how we work, and contribute to the future of our organization.
• Growth & Opportunity: From day one, you'll be trusted with meaningful responsibilities, encouraged to drive innovation, and supported in your professional development while working alongside experienced and passionate colleagues.Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
  
  

SOUNDS INTERESTING? Join us in shaping the future of AI-powered retail experiences. We look forward to meeting curious minds, innovative thinkers, and passionate problem-solvers who are eager to make an impact from day one.

Emerged from Mapp’s successful cross-channel marketing solution and Webtrekk’s proven customer intelligence tool, we have created an insight-led customer experience platform – unlike anything in the market. Mapp has offices all over the world, including USA, London, Paris, Berlin, Munich and Milan. More than 250 employees around the globe work on Mapp’s technology to provide customers with actionable marketing insights that will help them deliver exceptional customer experiences. At Mapp, we also encourage employees to push the limits on what we deliver, both as individuals and as a company.

Do you want to shape the future of marketing with us? If you’re tech-savvy, love helping customers be successful with technology, and always hunting for the next big deal, we want to have you on board!