5 machine learning engineer jobs found in Berlin

Location Germany - Berlin Contract Full time Job category Software Engineering - Machine Learning THE ROLE & THE TEAM We are looking for a Senior Machine Learning Engineer to enhance Zalando's Machine Learning Ops Platform team, making them more scalable, efficient, and impactful. The primary focus of the work will involve contributing to the development, maintenance, and monitoring of MLOps Infrastructure, with key responsibilities including work on the Feature Store, Airflow pipelines, Databricks jobs, and associated observability systems. Additional tasks may be assigned as needed to support broader platform initiatives and evolving project requirements. Working closely with other Machine Learning Engineers, Data Scientists and Software Engineers, you will help shape the future of DARA ML & Data platform at Zalando. WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) Design and build foundational ML platform components, including systems for...

What We Do Contiamo is a premier consulting firm that brings together an interdisciplinary team of senior experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how. We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges through intelligent data usage. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems. At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork. Our projects span a wide range of exciting data use cases, including:...

We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes. Must-Have Requirements Programming & ML Frameworks: Python; PyTorch or TensorFlow; scikit-learn; XGBoost or LightGBM; pandas; NumPy Time Series & Forecasting: BSTS; Prophet; Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation Optimization: Linear Programming and...

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability. About the Role: As a Senior Data Scientist within the Credit Decision Science team, you will serve as a domain expert responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions for our credit and portfolio management domain. This role requires...

Your mission Define how AI can understand, reason about, and discover materials Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As Head of AI Research, you will define and lead Dunia's AI-for-Materials agenda at the intersection of machine learning, physics, chemistry, and automated experimentation. This role is about more than applying existing ML techniques to scientific data. It is about inventing the representations, learning paradigms, and evaluation frameworks that allow AI to reason about matter across scales. You will spearhead the development of Dunia's Materials World Model, shaping how AI interacts with experiments and simulations, and how scientific insight is translated into systems that reliably produce new materials with real-world impact. Your tasks will include: Set the intellectual direction for AI for Materials...