7 machine learning jobs found

About us: Daedalean  is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.   Your role: As a ML company we produce and utilize large amounts of aerial video data that we need to store, process and make useful for our teams globally. You will be a part of the ML team designing, implementing and maintaining tools and infrastructure to support our ML development environment. These have to be efficient, scalable, reliable and adhere to very specific requirements dictated by our certification efforts whilst maintaining the necessary flexibility for the ML development. At Daedalean, we support both on-premise as well as cloud-based compute clusters. The work spans building web APIs, Kubernetes workflows, databases, storage and in-house tools...

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...

Within the Scientific AI team, you will apply your expertise at the intersection of scientific disciplines and AI to shape and scale the firm’s scientific innovation capabilities. Geneva London Paris Zurich Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. YOUR IMPACT As a member of McKinsey's global Scientific AI team, you will apply your expertise at the intersection of scientific disciplines (e.g., protein engineering, chemistry, computational biology, medical/medicine domain expertise, materials science, biostatistics, physics) and artificial intelligence (e.g., machine learning, generative AI, foundation models, causal inference) to shape and scale the firm’s scientific innovation capabilities. You’ll be working...

Big Data System Engineer (Platform Engineer) 1 year fixed term contract with extension About the role As a Big Data System Engineer (Platform Engineer), you will make an impact by designing, implementing, and maintaining scalable big data platforms. You will be a valued member of the data engineering team and work collaboratively with architects, developers, and business stakeholders. In this role, you will: Design and implement big data infrastructure and platform solutions. Ensure high availability, scalability, and security of data systems. Collaborate with data engineers and analysts to optimize data workflows. Monitor and troubleshoot platform performance and reliability. Automate deployment and maintenance tasks using DevOps practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring...

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...

Electronics & Software Engineer Wearable Sensors × Apply for Job × × × Enter your email to apply Date:   November 7, 2025 Location:   Schattdorf, CH, 6467 Company:   Datwyler In billions of syringes and in every second car worldwide, Datwyler components make an important contribution to the safety of patients and drivers. The high-tech company focuses on high-quality, system-critical elastomer components and holds leading positions in attractive global markets such as healthcare, mobility, connectivity, general industry and food & beverage. With over 25 production sites on four continents, sales in more than 100 countries and over 8,000 employees, the company, headquartered in Switzerland, generates annual sales of more than CHF 1,000 million. Our employees are the heart of Datwyler - we treat each other with respect, trust and appreciation. We have strong roots and values that have been well...