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6 machine learning engineer jobs found

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Full time  (6)
Kanadevia Inova AG
04/08/2026
Full time
Machine Learning Engineer
Kanadevia Inova AG Hardturmstrasse 127, 8005 Zürich, ZH, Switzerland
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into Value At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond. Job Description Industrialise and operate AI/ML solutions by transforming prototypes into scalable, production-ready applications. Design, implement, and maintain end-to-end MLOps pipelines covering training, validation, deployment, monitoring, and retraining. Collaborate closely with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI solutions....
Umanitek
18/08/2026
Full time
Ai & Knowledge Graph Engineer
Umanitek Zug, ZG, Switzerland
About us At Umanitek, we work at the frontier of neuro-symbolic AI to build systems that protect humans from deepfakes and impersonation. Our core product, the Umanitek Guardian pipeline and agent network, grounds intelligence in RDF knowledge graphs to provide robust threat detection. We are dedicated to building hybrid reasoning capabilities that combine SPARQL-driven graph logic, risk scoring, entity resolution, embedding similarity, and media analysis into a single, coherent system to defend against modern digital threats. Responsibilities Develop and optimize hybrid reasoning systems combining Knowledge Graphs, LLMs, embedding search, and symbolic reasoning. Build and evolve the Guardian stack (RDF, SPARQL, provenance modeling, schema/ontology design) for neuro-symbolic reasoning. Build and test data collection tools enabling Guardian's AI analysis system to securely process data from multiple data sources at scale. Measure and improve risk scoring, graph...
Mirantis
18/08/2026
Full time
Pre-Sales Solution Architect – AI Infrastructure (remote in the EU)
Mirantis Zürich, ZH, Switzerland
About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description We are seeking a dynamic and technically strong Sales Engineer / Pre-Sales Solution Architect to help...
cybergap
14/08/2026
Full time
AI Security Engineer (m/f/d) 100% (140´000 CHF)
cybergap Zürich, ZH, Switzerland
As an AI Security Engineer, you will be responsible for securing AI-powered applications, machine-learning systems and emerging generative AI technologies against cyber threats. You will work at the intersection of Cyber Security, Artificial Intelligence and Software Engineering, helping organisations identify and mitigate security risks throughout the entire AI lifecycle. You will collaborate closely with Security, Engineering, Data Science, Cloud and IT teams to build secure and resilient AI environments. Responsibilities: Design and implement security controls for AI and Machine Learning systems Assess security risks associated with Generative AI, LLMs and AI-powered applications Perform security assessments and threat modelling of AI systems Identify and mitigate vulnerabilities such as prompt injection, data poisoning, model manipulation, model extraction and adversarial attacks Develop security architectures for AI/ML platforms and applications...
AFRY
14/08/2026
Full time
Project Engineer for Data Analytics and Simulation (f/m/d) 80-100% - Zurich
AFRY Zürich, ZH, Switzerland
Join our   Technics & Technology   team in Zurich. The team has a unique competence in Engineering Simulation and Data Analytics. The team develops methods and tools for application to real engineering problems, covering a variety of sectors, ranging from energy and processes to water and infrastructures, though environment. This competence unit is seeking to hire a new person, with a dual profile: CFD and Data Analytics. Join us and take charge as: PROJECT ENGINEER FOR DATA ANALYTICS AND SIMULATION (F/M/D) 80-100% - ZURICH YOUR RESPONSIBILITIES: Develop and execute simulation studies to assess the feasibility and performance of engineering systems and processes Analyze, process, and interpret data from sensors, monitoring systems, and industrial IoT platforms Apply machine learning algorithms to both real-world sensor data and synthetic simulation data Collaborate with multidisciplinary engineering teams to translate technical challenges into...
LGT Gruppe Holding AG
23/07/2026
Full time
AI Operations Specialist – FinOps & AI Cost Management 80-100% (w/m/d)
LGT Gruppe Holding AG Zürich, ZH, Switzerland
About Us LGT is the world's largest private banking and asset management group owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we offer you many years of experience in managing substantial assets. Your responsibilities We are looking for an AI Operations Specialist to support us in managing and optimizing AI costs across projects, products, and platforms. This role combines hands-on analysis, stakeholder consulting, and governance to make the use of AI more transparent, efficient, and financially sustainable. They work closely with developers, data scientists, AI users, platform teams, and finance to understand how AI services are used, where costs arise, and how usage can be improved. They analyze unusual consumption patterns, question inefficient setups, and support teams in making more informed decisions regarding model usage, infrastructure, and budgeting. This role is...

 

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