12 machine learning jobs found in Berlin

Location Germany - Berlin Contract Full time Job Category Software Engineering - Backend THE ROLE & THE TEAM As a   Fullstack Software Engineer   in the   Transport Planning Optimization team   within the Logistics Technology department, you will design and implement crucial systems that power the efficient delivery of millions of items to our customers. Our Berlin-based team is dedicated to building and continuously improving a robust Transport Management System. Your work will focus on creating intelligent, scalable solutions that optimize transport plans, from initial forecasts and scheduling to final execution and settlement, leveraging real-time data and advanced algorithms. You will have a huge impact on the performance and cost-effectiveness of Zalando's Logistics while continuously growing your fullstack skillset in a collaborative, learning-focused environment. INCLUSIVE BY DESIGN If you think you have what it takes, we encourage...

We are seeking a technically skilled and passionate Senior-level Data Scientist with expertise in machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cutting-edge technology to develop Machine learning solutions that optimize our sales and processes. As a Data Scientist at AUTO1 Group in the outflow sales team, you’ll work on solving complex business challenges such as providing personalized recommendation, dynamic pricing for inventory cars, managing demand forecasting for used car markets and finance risk prediction. You’ll drive end-to-end development from prototyping innovative solutions to deploying scalable models. Working closely with devops, engineers, and product teams, you’ll leverage machine learning to...

Berlin based - m/f/d - full time What we do at Plato Plato is the AI-powered Sales Intelligence platform built specifically for B2B wholesale. We transform reactive sales teams into proactive revenue engines by surfacing hidden opportunities in their data. Our platform identifies which customers are at risk, who's ready to buy more, and what products to recommend next - turning thousands of signals into clear next actions. The Wholesale Challenge Why wholesale is different from everything else you've worked on: Imagine building ML for a world where: Your "best customer" might buy twice a year - but spends €500K each time A customer churning doesn't mean they stopped needing your products - they just found another supplier Product catalogs contain 100K+ SKUs but even your best customers only know 500 of them A "trend" might be 3 data points over 18 months Success means helping a sales rep know which of their 200 customers needs...

Berlin based - m/f/d - full time What we do at Plato Plato is building the digital backbone of the global trade economy. Starting with the $53T wholesale industry, we empower the modern wholesaler to connect their people and data in a single analytics and workflow hub. By leveraging data science and AI we automate workflows and combat labor shortage making SMB wholesalers competitive with large corporations. Why we do what we do The future of wholesale is data-driven.   Unlike popular opinion, Industrial SMEs are ready to take the step to become more proactive in their processes but lack the technology to steer them to success. Our founders come from a wholesale family and gathered a rock star team of ex-Big Tech, VC and top tier consulting companies to reshape the operations of this $48tn industry. Our initial product leverages cutting-edge data science to provide customized demand forecasts and product recommendations combined with intelligent workflow...

ABOUT ZELARA Current CRM marketing is broken. It blasts generic messages at scale and calls it "personalization." Our founders lived this problem while leading global, tech-enabled B2C businesses - and decided to fix it. Zelara is   the AI operating system for personalized, digital customer experiences . Our platform uses generative AI and machine learning to build a self-optimizing system that personalizes every B2C interaction in real time — turning impersonal marketing into conversations customers actually welcome. Early results with enterprise customers show a lift in conversion rates and revenue growth. We are well-funded, already generating revenue with paying enterprise customers, and seeing strong market pull. Now we are building the team to scale. THE ROLE This is not a role where you inherit a mature ML stack and optimize metrics at the margin. This is the chance to be the person who builds the core intelligence of an AI-first company from the ground up...

Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners across the globe. About this role As a Data Science Manager for the Logistics online world, you will be responsible for developing well-engineered, robust, and high-quality data-driven solutions and platforms that drive optimization and strategic insights for our global logistics business. You will play a key role in shaping the vision and execution of data science initiatives, ensuring alignment with business needs and strategy. Location: Berlin, London, or Amsterdam Reporting to: Leadership team of the Product Logistics Data & Analytics team These...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline April 3, 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...

4flow software develops a range of global standard software products for logistics and transportation planning that can be applied across all industries. The integrated planning approach of our software products ranges from the long-term optimization of network structures to the short-term optimization of transportation capacity utilization. In addition, planning results can be combined with transportation processing and accounting for integrated transportation management. Here, you will work at the intersection of logistics, technology, and compliance, driving product discovery and delivery. What your new challenge will look like Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe. Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations. Influence 4flows product direction through clear, compelling...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...

Location Berlin Remuneration Pay group 13 higher service TV EntgO-DRV (60,072.01-86,114.70 euros) Entry date As soon as possible occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-027-2026 Tasks Developing and evaluating metrics for quality assurance of generated responses in RAG systems Optimizing indexing and search strategies to improve the accuracy and efficiency of RAG applications Developing and implementing data science applications with a cross-functional team and/or external service providers. Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting, etc.) and in the context of GenAI (for example, Large Language Models, Fine-Tuning, etc.) Visualizing and analyzing large datasets, for example to detect bias or data drift; optimizing and maintaining semi-automated MLOps...

We are an established e-commerce and teleshopping company with around 140 employees. Our data-driven management of our webshop, broadcast operations, and reporting is based on an existing data warehouse with productive pipelines – and that's exactly where you come in. To expand our team in   Berlin   in the long term, we are looking for someone to join us as soon as possible. Data Engineer (m/w/d) Your tasks Strategic expansion of our data platform Operation, maintenance and modernization of our data warehouse (PostgreSQL, BigQuery) Further development and monitoring of our ETL/ELT pipelines (Airflow / Cloud Composer, dbt, dlt) Integration of external data sources via REST APIs Data modeling for analytics and reporting use cases Data cleansing and preparation Performance optimization of SQL queries and data processes Conducting ad-hoc analyses for specialist departments Close collaboration with stakeholders from e-commerce, broadcasting,...

You don't just want to ship generically generated code, but rather help digitize industry on a large scale? Then join cap-on and build IoT products with us that truly advance machine manufacturers. If you're interested in challenging IoT, backend, and infrastructure topics with real impact – let's talk! Who are we? cap-on supports machine and plant manufacturers with a plug-and-play IoT solution and associated web platform to easily implement data-based business models such as pay-per-use, remote service or fleet digitization. We not only have many years of experience in developing scalable, production-ready IoT applications, but also a strong partner in the industry with thyssenkrupp. Who are we looking for? 3+ years of professional experience as a software engineer Track record of the realization and/or support of own software projects in production Extensive knowledge of Python and/or Golang & modern standards Infra/DevOps: Docker, Linux, Shell, Cloud...