5 machine learning engineer data scientist jobs found

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia. We're an experienced team of roughly 60 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake (for full...

Who We Are Founded in 2017,   Unit8   is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 200 projects and have grown to 150+ talented individuals across 5 office locations. Our misssion Unit8’s mission is to drive   the adoption of AI and Data Science in the non-digital industries   and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time to projects that deeply matter to us, which includes collaboration on pro-bono and “engineering for good” causes. Are You the team member we are looking for? Unit8...

Ivy Partners is a Swiss consulting firm dedicated to helping businesses navigate their strategic, technological, and organizational challenges. We are committed to providing our team members with careers that foster both personal and professional development. We support their skills enhancement and offer real career progression opportunities. As a Data Engineer / DevOps at Ivy Partners, you will: Design and maintain high-performance data pipelines. Migrate large volumes of historical and operational data to AWS. Optimize data flows used by machine learning models for feature creation, time series, and trade signals. Ensure the quality, availability, and traceability of critical datasets. Collaborate directly with data scientists to integrate, monitor, and industrialize models: price prediction models, optimization algorithms, and automated trading systems. Support model execution and stability in production environments utilizing...

The NZZ is one of the largest private media companies in Switzerland. It focuses on high-quality, independent journalism and represents liberal perspectives. Its products offer its readers daily information and inspiration. The Data Team is supporting the NZZ in being a data-driven organization. As an Analytics Center of Competence our job is to provide everyone in our company with the necessary tools and knowledge to arrive at better and more informed decisions, contributing to the digital transformation. In close cooperation with our product management, marketing and editorial teams, we build «smart» data products (such as article recommendations) to support internal and customer facing use-cases. We are a highly motivated and skilled team of data professionals (data analysts, data scientists, data engineers) working based on agile development methods and living the principles of an innovation culture, testing and advancing new ideas iteratively. We are looking for an...

Overview Jua is building the most advanced Earth intelligence platform ever created: a universal physics simulator designed to turn the planet’s raw complexity into decisive trading upside. Today, our technology delivers the world’s most advanced weather models and analytics, giving energy companies and traders a significant edge: higher profits, smarter risk, faster execution. With this universal simulator, we collapse barriers to understanding Earth’s systems, enabling the efficient and sustainable use of natural resources while improving standards of living and spurring economic growth. To make this vision a reality, we have assembled a talented multidisciplinary team, and we are still growing. By joining us, you will help shape a culture of ambition, transparent communication, and rapid iteration, while taking on exciting challenges with creative freedom, fair pay, and generous stock options. What we’re looking for We’re...