33 machine learning jobs found in Bern

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Kick-start your career with Julius Baer’s Graduate Programme – October 2026 Are you about to complete your master’s degree or recently graduated and ready to turn ambition into impact? At Julius Baer, we empower graduates to shape the future of wealth management. Our 18-month Graduate Programme is designed to unleash your potential through three dynamic rotations, including an international assignment. You’ll gain hands-on experience, build a global network, and lay the foundation for a thriving career in wealth management. Your team: Join the COO division and become part of the award winning (e.g., Wealth Briefing European Awards 2022 “Best Innovative Use of Artificial Intelligence” and PWM “Best private bank for digitally empowering...

That's you You're passionate about machine learning and want to use intelligent systems productively – not just build prototypes. You'll be responsible for the stable operation of the models on our SaaS platform. You enjoy working in a data-driven environment, making sound technical decisions, and collaborating with Research and Product to further develop our AI features. That's the job. Optimization and co-development of machine learning models up to product maturity Integration of ML components into our SaaS platform in close collaboration with backend and frontend developers. Work on AI-powered features based on modern approaches such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) Ensuring scalability, performance, and reliability of productive ML systems This is what you bring with you Completed university degree (University of Applied Sciences / University / ETH) in Computer Science or comparable qualification Several...

About Us RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk’s solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and...

"I appreciate working in a team where we support each other." ML Operations Engineer (w/m/d)   80%-100 % Berne Galenica AG Espace Mittelland (BE, FR, NE, JU, SO) IT You can achieve this You will be responsible for the creation, further development and operation of our AI/ML models throughout the entire product lifecycle. You ensure the continuous monitoring of data and model quality (e.g., detecting deviations, anomalies, or performance degradation) and set up automated alerts and diagnostic tools. You ensure a smooth LLM-Ops process – including tracing, cost tracking, routing and monitoring. You will work on topics such as CI/CD, test suites, automated documentation, and package registration. You create and maintain central logging, monitoring and alerting mechanisms at the system level. You always keep reproducibility and the highest possible level of automation in mind – with the goal of using...

The University of Applied Sciences and Arts of Western Switzerland (HTA-FR) is a member of the University of Applied Sciences and Arts Western Switzerland (HES-SO) and offers bilingual Bachelor's and Master's degree programs. In HTA-FR's practice-oriented engineering programs, students acquire not only specialized knowledge but also the necessary foundations in mathematics, statistics, and physics. – The iCoSys Institute, in collaboration with regional businesses, develops innovative projects in the field of AI and complex systems, drawing on data science and mathematical modeling. Tasks and areas of responsibility Teaching at the Bachelor's and Master's level as well as in continuing education in the field of mathematics and statistics Supervision of student projects Acquisition of projects and establishment of applied research activities at the iCoSys Institute Representation of the university in relevant professional and scientific networks Your profile...

The University of Applied Sciences and Arts of Western Switzerland (HTA-FR) is a member of the University of Applied Sciences and Arts Western Switzerland (HES-SO) and offers bilingual Bachelor's and Master's degree programs. In HTA-FR's practice-oriented engineering programs, students acquire not only specialized knowledge but also the necessary foundations in mathematics, statistics, and physics. – The iCoSys Institute, in collaboration with regional businesses, develops innovative projects in the field of AI and complex systems, drawing on data science and mathematical modeling. Tasks and areas of responsibility Teaching at the Bachelor's and Master's level as well as in continuing education in the field of mathematics and statistics Supervision of student projects Acquisition of projects and establishment of applied research activities at the iCoSys Institute Representation of the university in relevant professional and scientific networks Your profile...

100% Temporary Alpnach Facing the challenges of our time Help us grow and be more impactful! We are looking for a passionate intern in Agentic AI. The internship duration is   minimum 6 months starting from March 2026 For this position the   enrollment in a Computer Science or Engineering program at ETH is mandatory   . The   Predictive Analytics group   is offering an internship focused on exploring how effectively LLM-powered agents can perform data analysis tasks using both real customer data and synthetic datasets. Your mission You will work closely with our PhD student, who is affiliated with the Computer Science Department at ETH Zurich. For highly motivated students, the internship may lead to a publication at a top-tier conference such as ICML, NeurIPS, ICLR, or AAAI. Your profile Know-how Requirements: Ability to work on-site in Alpnach, Switzerland, at least three times a week. Strong proficiency in Python....

Join our AI team as a   Research Grants AI Intern   and contribute to building intelligent systems that connect grant data, research publications, and researcher profiles. This internship offers hands-on experience in real-world data acquisition, NLP-driven entity matching, and research intelligence workflows within academic publishing. As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site. Tasks & Responsibilities Build workflows for crawling, extracting, and indexing grant information from public sources; Normalize and structure grant metadata (e.g., funding agency, grant IDs, investigators, timelines, keywords); Develop and implement text-mining and metadata-matching methods to link grants with publications; Integrate grant data into internal databases and graph-based systems; Support the exploration of predictive models to identify research trends and funding...

100% Permanent Allschwil Facing the challenges of our time -   Help us grow and be more impactful! Our   AI for Life Sciences   team extends CSEM’s capabilities in cell microsystems, biomonitoring, and lab automation with advanced data science and machine learning. We develop computational and ML tools to analyze omics and phenotypic data, integrate clinical information, and interpret molecular signatures from custom sensors and instruments. This environment offers a unique opportunity for a Biomedical ML Scientist to contribute to high-impact technology development and technology transfer and create next-generation analytical methods at the intersection of biology, data science, and engineering. Your mission Your mission is to lead the design and deployment of advanced machine learning solutions, using deep technical expertise and strong communications skills to guide teams in selecting, building, and refining state-of-the-art ML architectures that...

Senior DevOps & Platform Engineering Lead (Azure | Terraform | Enterprise Release Management) Location:   Basel, Switzerland Employment Type:   Full-time Language:   English required About the Role Swiss Himmel GmbH is looking for a   Senior DevOps & Platform Engineering Lead   with   15+ years of experience   to drive cloud transformation, platform engineering, and   mission-critical release governance   within a complex, regulated banking environment. This is a senior leadership role combining   hands-on engineering, production delivery ownership, DevOps strategy, and ITIL-based release governance . You will be responsible for building scalable Azure-based platforms, implementing Infrastructure as Code, and ensuring the successful delivery of regulatory and business-critical releases with zero disruption. Your Responsibilities Design and implement   Infrastructure as Code (IaC)   using Terraform across Azure environments Build and manage...

About LAYERED LAYERED is a Swiss construction robotics startup emerging from   ETH Zurich’s Gramazio Kohler Research , a pioneer in digital fabrication and robotic construction. We build autonomous mobile robots that perform surface finishing tasks directly on real construction sites. Our systems combine robotics, digital fabrication, and AI-driven planning to handle the variability and constraints of the built environment, making site work safer, more efficient, and more sustainable while keeping skilled craftspeople at the center of the process. Our robots are already running in mock-ups and live construction sites. We are now strengthening our AI and robotics team to make the system more autonomous, more adaptive to material behavior, and ready for reliable deployment in real construction environments. The Role We are looking for a   Senior Robotics & AI Engineer   who will take ownership of the intelligence layer behind our robotic surface coating...

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is dedicated people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. The actual location of this job is in Visp, Switzerland. Relocation assistance is available for eligible candidates and their families, if needed. Within the Process Analytics & Data Intelligence (PADI) team, embedded directly in Operations, we develop production-ready analytics and models that help teams understand process behavior, improve performance, and make better decisions. Our role is to transform operational data into actionable insight, used daily by MSAT, Process Development, Operations, and global teams to monitor processes,...

Site Name:   London The Stanley Building, Heidelberg, Switzerland - Zug, USA - Massachusetts - Cambridge Posted Date:   Feb 11 2026 At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for   Software Engineers   with a track record in developing production-grade, data-driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large-scale AI models and agentic systems —...

About Us For over five years, we've been at the forefront of crypto trading, building the software that outpaces the market. We seek talent in Mathematics, Physics, and Computer Science to apply rigorous scientific and data-driven methods to financial markets. We continuously strive for perfection in every aspect of our research and engineering culture, where the better argument always wins over hierarchy. Our ambition goes far beyond cryptocurrency trading: we are here to dominate global markets, and we are here to win What you will do We're looking for a Software Engineer who lives and breathes low-level programming and high-performance computing. You will work alongside researchers and engineers to build, improve, and maintain our low-latency, high-throughput trading infrastructure. From collecting quotes and trades from exchanges around the world in the most efficient way possible to tackling big-data challenges at scale, this role demands someone who is obsessed...

As a leading provider of AI-powered extended managed detection and response (MXDR) services, Ontinue is on a mission to be the most trusted, 24/7, always-on security partner that empowers customers to embrace the future by using AI to operate more strategically, at scale, and with less risk. We believe that the combination of AI and human expertise is essential for delivering effective managed security that is tailored to a customer’s unique environment, operational constraints, and risks. Our MXDR service combines powerful proprietary AI with a one-of-a-kind collaboration model to continuously build a deep understanding of our customers’ environments, informing how we prevent, detect, and respond to threats. Our unrivaled Microsoft expertise allows customers to achieve these outcomes with the Microsoft Security tools they already own. The result is highly localized managed protection that empowers security teams to be faster, smarter, and more cost efficient...

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Join Julius Baer’s transformation journey as we shape the future of banking through AI — where visionary strategy meets impactful execution. YOUR CHALLENGE Strategy & Value Management Define and continuously refine the AI strategy, vision, and value proposition, translating enterprise ambitions into an executable AI roadmap Ensure all AI initiatives are value-driven, with clear hypotheses, success metrics, and benefit realization tracking • Balance short-term impact vs. long-term capability building within the ART portfolio Roadmap & Portfolio Leadership Own the AI ART roadmap, including prioritization, sequencing, and dependency management across initiatives Align roadmap priorities with...

DevOps/MLOps Engineer Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence. As we continue to scale rapidly, we are looking for a DevOps/MLOps Engineer for our office at Etoy, Switzerland who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you. LOCATION On-Site/Switzerland EMPLOYMENT TYPE Full Time Responsibilities Drive, design and own development of platform to deliver data based on actionable insights End to end responsibility for the technical requirements, design, development, integration and verification of...

Data Scientist Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence. As we continue to scale rapidly, we are looking for a Data Scientist to design, build, and maintain scalable machine learning algorithms to create and deploy the models that process data from sensors, radar, and cameras. This role will be critical in ensuring high performance, real-time accuracy, and seamless ML model performance on the edge. LOCATION On-Site/Switzerland EMPLOYMENT TYPE Full Time Responsibilities Design, improve and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs Manage the ML data pipeline, including data collection, extraction, validation,...

As a Senior DevOps Engineer in the intelligent AV team, you will be a key member of the iAV Platform team. In this role, you will collaborate with experienced Software, Robotics, and Machine Learning Engineers to advance the next generation of intelligent audio-video systems for meeting spaces and smarter buildings. Your focus will be on improving our pace and ability to deliver high-quality software by developing and maintaining infrastructure and automation for the VisionSuite product and the broader Q-SYS platform. You will design and evolve CI/CD tooling, pipelines, and testing frameworks, track development metrics, and build infrastructure that empowers engineers to deliver reliably and efficiently. Your expertise will also help us distribute our application across the edge and extend it into the cloud, leveraging Azure and modern DevOps practices to serve customers from Fortune 100 boardrooms, auditoria and meeting spaces around the world. This position is a hybrid...

The Swiss National Bank (SNB), as an independent central bank, conducts monetary policy in the overall interest of the country. It ensures   price stability and thus contributes to an environment in which the economy can thrive. Intern in the Economic Data Science team   (   80% - 100%) The Economic Data Science unit produces macroeconomic analyses and forecasts to inform monetary policy decisions. It also contributes to methodological innovations and the further development of data pipelines. We are offering two internships in an interdisciplinary team of economists and data scientists. Both positions are for a duration of 12 months. Start dates are July 1, 2026, and September 1, 2026, or by arrangement. The workplace is centrally located in Zurich. Your contribution: Contributing to the development, provision and maintenance of data pipelines and analysis tools, particularly in the areas of Big Data, Machine Learning and Natural Language...