65 Jobs für Machine-Learning-Spezialisten in Schweiz

Als der fünftgrösste Kanton der Schweiz mit rund 6000 Mitarbeitenden setzen wir uns bei der Kantonsverwaltung für das Gemeinwohl der Gesellschaft ein. Mit einer beeindruckenden Vielfalt an Leistungen betrifft unsere Arbeit alle Bereiche des Lebens, sei es Bildung, Wirtschaft, Recht, Sicherheit, Natur, Gesundheit, Bau, Kultur und Finanzen. Mit unserer sinnstiftenden Arbeit hinterlassen wir täglich einen kleinen Fussabdruck, da diese für über eine halbe Million Menschen relevant ist.

Die Staatskanzlei ist als Stabsstelle von Kantonsrat und Regierung eine zentrale Schaltstelle in der kantonalen Staatsverwaltung.

Wir suchen auf den 1. November 2025 oder nach Vereinbarung eine/n

Pensum: 80-100%

Arbeitsort: St.Gallen

• Du übernimmst die fachliche Leitung der Koordinationsstelle digitale Transformation und Künstliche Intelligenz (KI)
• Du bist ein zentraler Dreh- und Angelpunkt für die Themen digitale Transformation und KI im Kanton St.Gallen, stimmst verschiedenste Vorhaben aufeinander ab und koordinierst dich mit den Gemeinden und dem Bund
• Du koordinierst strategische Projekte im Bereich der digitalen Transformation und der KI und unterstützt deren erfolgreiche Umsetzung
• Du konzipierst Veranstaltungen und Anlässe, um das Wissen und die Fähigkeiten im Bereich der digitalen Transformation und KI zu fördern
• Du identifizierst neue Trends und Themen in der digitalen Transformation und KI und integrierst diese in die Organisation

• Masterabschluss in Wirtschaftsinformatik, Business Innovation, internationalen Beziehungen, Sozialwissenschaften oder in einem ähnlichen Bereich
• Erfahrung in der Leitung grösserer Projekte sowie ein ausgeprägtes Gespür für strategische Entwicklungen und technische Innovationen
• Begeisterung für verschiedene Themen rund um KI und die digitale Transformation
• Kenntnis des politischen Systems des Kantons St.Gallen und Verständnis für die Herausforderungen und Chancen der Zusammenarbeit über verschiedene staatliche Ebenen hinweg
• Kommunikationsstärke, strukturierte Arbeitsweisen, ganzheitliches Denken, analytische und konzeptionelle Fähigkeiten sowie Gestaltungswillen

• Eine spannende und vielseitige Tätigkeit in einem dynamischen Umfeld
• Die Möglichkeit, die digitale Zukunft im Kanton St.Gallen aktiv mitzugestalten
• Ein engagiertes Team und ein wertschätzendes Arbeitsklima
• Fortschrittliche Arbeitsbedingungen sowie attraktiver Arbeitsplatz im St.Galler Stiftsbezirk
• Vielfältige Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung

Bereit für den nächsten Schritt? Wenn wir dein Interesse wecken konnten und du ein Teil des Teams sein möchtest, freuen wir uns auf deine Bewerbung.

Weitere Auskünfte unter:

Dr. Angela Eicher, Leiterin Politische Planung, Controlling und Führungsunterstützung, Tel

v.FISCHER INVESTAS ist eine Berner Institution. Seit 1873 kümmern wir uns ganzheitlich und kompetent um die Vermögenswerte unserer Kundinnen und Kunden. Dank unserer jahrzehntelangen Erfahrung sind wir heute eine führende Dienstleisterin in den Bereichen Vermögensverwaltung, Corporate Finance, Recht, Immobilien, Vorsorge und Family Office im Espace Mittelland. Mit der Individualität unserer Lösungen und der Exzellenz unserer Dienstleistungen setzen unsere rund 130 Mitarbeitenden den Branchenstandard – seit Generationen und für Generationen.

Zur Ergänzung unseres motivierten Teams suchen wir per sofort oder nach Vereinbarung eine:n
Projektleiter:in IT mit Schwerpunkt AI %)

Deine Aufgaben

• Gesamtverantwortung für die internen AI-basierten IT-Projekte
• Leitung und Koordination interdisziplinärer IT-Projekte im Bereich Digitalisierung und AI
• Analyse von Geschäftsprozessen und Identifikation von KI-Potenzialen
• Evaluation, Auswahl und Implementierung passender AI-Technologien in Zusammenarbeit mit Fachabteilungen und externen Partnern
• Stakeholder-Management (internes Management, IT-Dienstleister, Fachbereiche)
• Aufbau von KI-Standards und Know-how-Transfer innerhalb der Organisation
• Steuerung von Zeitplänen, Budgets und Qualitätszielen

Dein Profil

• Abgeschlossenes Studium in (Wirtschafts-)Informatik oder vergleichbare Ausbildung
• Mehrjährige Erfahrung in der Leitung von IT-Projekten, idealerweise mit AI-Bezug
• Fundierte Kenntnisse in Datenanalyse, Machine Learning und Automatisierungstechnologien
• Starkes unternehmerisches Denken, ausgeprägte Kommunikations- und Umsetzungsstärke
• Erfahrung im Finanzdienstleistungsumfeld von Vorteil

Das bieten wir dir

• Eine dynamische Unternehmenskultur mit flachen Hierarchien und kurzen Entscheidungswegen
• Grossen Gestaltungsspielraum und direkte Wirkung auf strategisch relevante Zukunftsprojekte
• Moderne Arbeitsumgebung und flexible Arbeitsmodelle (inkl. Home-Office)
• Attraktive Anstellungsbedingungen und gezielte Weiterbildungen im IT- und AI-Bereich
• Ein engagiertes Team, das Innovation lebt und sich auf deine Expertise freut

Bist du interssiert?

Dann freuen wir uns auf deine Bewerbung.

Werden Sie Teil unseres innovativen Teams und gestalten Sie durch Forschung, Lehre und Weiterbildung die Zukunft der Digitalisierung und künstlichen Intelligenz aktiv mit

Departement: School of Management and Law

Arbeitsbeginn: Per sofort oder nach Vereinbarung

Aufgaben

• Leitung und Durchführung von Forschungsprojekten im Bereich Digitalisierung und Künstliche Intelligenz. Sie können die Schwerpunkte der Themen aktiv mitgestalten. Beispiele für mögliche Themen sind Autonomous Agents, Agentic AI, Automatisierung mit Low-Code-Technologien und Hyperautomation sowie Prozessdigitalisierung.
• Akquise von Drittmitteln zur Finanzierung von Forschungsprojekten.
• Publikation von Forschungsarbeiten in wissenschaftlichen Zeitschriften und Konferenzen.
• Lehre im Bachelor und Master.
• Lehre in der Weiterbildung, gegebenfalls CAS-Leitung.

Profil

• Promotion in Wirtschaftsinformatik oder einem verwandten Bereich.
• Forschungserfahrung, nachgewiesen durch wissenschaftliche Publikationen.
• Erfahrung in der Akquise und Leitung von Drittmittelprojekten.
• Methodisch-didaktische Qualifikation / Erfahrung in der Lehre und Weiterbildung.
• Fundiertes Wissen und Forschungserfahrung im Themenfeld Digitalisierung und Künstliche Intelligenz.

Dafür stehen wir

Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 14'000 Studierenden und über 11'000 Weiterbildungsteilnehmenden sowie mit rund 3'700 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.

Die ZHAW School of Management and Law (SML) ist mit rund 9500 Studierenden eine der grössten Business Schools der Schweiz. Sie ist als einzige Fachhochschule des Landes in renommierten Rankings der Wirtschaftszeitung «Financial Times» vertreten und AACSB, EQUIS sowie AMBA akkreditiert – Labels für hohe Qualitätsstandards in Lehre, Forschung und Weiterbildung. Die international anerkannten Bachelor- und Masterstudiengänge, kooperativen PhD-Programme sowie die zahlreichen Weiterbildungsangebote sind wissenschaftlich fundiert, interdisziplinär und praxisorientiert. Die SML unterhält zahlreiche Kooperationen mit über 190 ausgesuchten Partnerhochschulen weltweit.

Das Institut für Wirtschaftsinformatik (IWI) operiert an der Schnittstelle zwischen Betriebswirtschaft und Informatik und verfolgt das Ziel, die Innovationskraft von Gesellschaft und Wirtschaft zu steigern. Dabei ist unser Leitgedanke: «From Information to Innovation».

Die ZHAW setzt sich für geschlechtergemischte und diverse Teams ein, um Gleichstellung, Vielfalt und Innovation zu fördern.

Das bieten wir an

Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen an und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile ist auf der Webseite «Arbeiten an der ZHAW» zu finden. Hier die wichtigsten Eckpunkte:

• Arbeitskultur
• Work-Life-Balance
• Diversität und Inklusion
• Persönliche Entwicklung
• Ökologische, ökonomische und soziale Nachhaltigkeit an der ZHAW
• Betriebliches Gesundheitsmanagement
• Lohn und Vorsorge

Kontakt

Prof. Dr. Theresa Schmiedel

Leiterin Institut für Wirtschaftsinformatik

Dagmar Debrunner-Stachl

Recruiting Manager

Please apply only if you are already based in Switzerland and hold a valid work permit.

Martin Data Solutions
is an AI/ML company focused on applied machine learning, large language models (LLMs), and custom AI solutions. We collaborate with startups and enterprises to unlock the full potential of data-driven technologies.

Join Martin Data Solutions as a
Machine Learning / AI Engineer
and gain hands-on experience working directly with founder Benito Martin on cutting-edge AI projects to become an early-stage team leader.

Role Summary

In this role, you'll contribute to the
development, evaluation, and deployment
of LLM-powered applications. This opportunity is ideal for recent graduates (Bachelor's or Master's) or junior engineers eager to deepen their practical experience in machine learning and generative AI.

At , we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

Job Description

We are looking for a
Machine Learning Scientist
to join our team of around 1,700 people worldwide to help us power up the traveller's journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

The job in brief:

• Job Title
  -
  Machine Learning Scientist
• Working model
• hybrid in Chiasso
• Team
• you will join the
  Strategic Analytics team
  within the Technology department.
• Level
• Professional
• Location
• Chiasso, Switzerland
• Contract
• Permanent - full-time (36 h/week)

What your impact will be:

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Dynamic Pricing algorithms based on reinforcement learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications

Your expertise:

• A Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in the field of machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Experience in Reinforcement Learning (Multi-Armed Bandit and Markov Decision Process)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch

Desirable:

• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate
• Previous experience with dynamic pricing algorithms

Additional Information

Perks of working with us
:

How we work together:

• An inclusive, friendly, and international environment (you'll be working with colleagues from +10 countries and over 48 nationalities)
• Shorter working week (36h as full time), with a half working day on Fridays
• Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm
• Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together
:

• Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O'reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks
:

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Wish you were here? We do, too

Selection process steps*
:

• HR interview
• 1st Manager Interview + Technical Interview (1 hour)
• 2nd Manager Interview (1 hour)
• Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Generative AI is poised to transform fashion, but off-the-shelf models fail to deliver the product accuracy and brand consistency that enterprises require. We're a well-funded, Swiss-based startup looking for a senior engineer to tackle the core technical challenges of generative AI in a high-stakes visual domain.

Tasks

1. Develop and implement novel fine-tuning and model adaptation techniques to solve for character consistency and garment accuracy on top of foundational diffusion models.

2. Design and build robust evaluation pipelines from the ground up to quantitatively and qualitatively measure photorealism, texture fidelity, and product accuracy.

3. Own the R&D cycle for new generative features: rapidly prototype, test, and integrate the latest research and models from the community into our production environment.

4. Create workflows to support creativity and completely eliminate boring tasks for fashion powerhouses employees.

5. Collaborate directly with the founding team to architect and scale our AI inference stack for performance and reliability.

Requirements

• MSc or PhD in Computer Science or equivalent provable experience

• 2+ years of industry experience in Machine Learning, OR a relevant PhD with a strong portfolio of applied projects.

• Deep, hands-on experience with
  Generative AI
  , specifically
  Diffusion Models
  and their application.

• Expert proficiency in Python and PyTorch.

• Proven experience taking ML models from research/prototype to production.

• Solid software engineering fundamentals (Git, Docker, CI/CD).

Benefits

1. Autonomy & Impact:
   You won't be a ticket-taker. You'll have the agency to own the R&D lifecycle for core features, from hypothesis to production, and see your work ship.

2. Competitive Compensation & Equity:
   We offer a top-tier salary and a meaningful stock option plan. We want you to have a real stake in what you're building.

3. A Lean, Expert Team:
   You'll work directly with the founders in a fast-paced environment, free from corporate bureaucracy.

4. Hybrid Work Model:
   We think that being in the same room often boosts productivity, so we want you in the office at least 2 days per week. But we have no schedule. You decide when to work to maximsie your productivity.

If you're an engineer who is obsessed with the generative space and wants to apply your skills to hard problems with real-world impact, we would love to hear from you.

Our interview process is straightforward:

1. You share your github or papers + CV

2. A chat with the founder

3. A technical deep-dive

Join our Data Science and Engineering team to build impactful Machine Learning solutions. Work on projects like fine-tuning models, recommendation systems, and forecasting. Optimize pipelines, improve MLOps, and ensure scalable, reliable systems. Ready to make a difference? We'd love to hear from you

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Apply now

Migros Online

Migros Online SA - Ecublens

Chemin du Dévent 11

1024 Ecublens

Calculate route

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

An application letter or video is required for this position.

Main task

Foster a hands-on, collaborative environment with Data Analysts, Software Engineers, and Product Managers— turning exploratory insights into ML-ready assets.

Main task

Ensure that machine learning solutions are aligned with clear business objectives so that downstream model development delivers tangible value for customers and the company.

Main task

Deliver innovative solutions by fine-tuning state-of-the-art transformer and LLM, building robust recommendation systems, or tackling practical predictive tasks such as demand forecasting.

Main task

Working closely with product teams, you iterate quickly to ship high-quality services that create measurable business impact.

Main task

Drive continuous improvement of our machine learning pipelines by implementing robust training workflows and automation.

Main task

Advance our MLOps capabilities by refining deployment processes and leveraging modern CI/CD and model monitoring tools to ensure our production systems are reliable and scalable.

Hands-on experience delivering ML models end-to-end (from development to production)

Machine Learning, Computer Science, or a related field

Mandatory

You are proactive and curious, boldly challenge assumptions to drive progress, yet remain open to feedback and thrive on constructive dialogue.

Mandatory

Proficient in modern machine learning frameworks and libraries such as TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.

Desired

Familiarity with MLOps best practices (e.g. CI/CD pipelines, containerization, model monitoring) and a drive to continually improve our deployment processes for scalable and reproducible ML outcomes.

Desired

Hands-on experience deploying machine learning solutions on Cloud (GCP Vertex AI, AzureI). Knowledge of infrastructure-as-code tools is a plus.

Advantageous

Data engineering skills (such as building data pipelines and handling large datasets) are a plus, as they enable seamless integration of data into our machine learning workflows.

18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%

Cell phone subscription at attractive rates

A company restaurant is available for employees to eat at preferential rates

Benefit from additional Cumulus points

We value your health and offer CHF 250.- per year when taking out a sports subscription

We value your development and participate in your growth and offer a budget for it

We stand for respectful cooperation on the same level

We value direct communication and involve our employees in the decision-making process

Katharina Höttermann

Talent Acquisition Partner

Submit application documents

For a complete application, we require your CV, certificates, and diplomas. A photo in the CV and a cover letter are not necessary. We are committed to equal opportunities for all applicants. We follow a standardized recruitment process. If this does not work for you, please mention it in your application documents.

Pre-selection of applications

We constantly check applications received, create a pre-selection and share it with the line manager for inspection. The decision as to whether the candidate has moved to the next step of the recruitment process or been eliminated is communicated by telephone or e-mail. Replies provided within three weeks

Interview with HR & specialist department

The interview is conducted virtually or on-site with the relevant person from HR and/or the specialist department. The main aim is to learn more about the personal and specialist skills of the candidate while giving both sides the opportunity to assess the cultural fit, both in the company as a whole and within the team. Reply provided: within three weeks

Getting to know the team

Whether or not someone fits into the team is an important factor for both the employer and the candidate when deciding whether to make an appointment. We therefore provide an opportunity for everyone to get to know each other in an informal atmosphere.

Offer & issuance of the contract (digital)

Once our oral job offer has been issued, the key contractual points are checked once again. Once an agreement has been reached, the issuance of the contract is commissioned and sent by e-mail for digital signature. Reply provided: within one week

Only direct applications will be considered for this position.

Company Description

Space Apps is an international hackathon that brings together individuals from various backgrounds to address challenges on Earth and in space using NASA data, tools, and technologies. The Space Apps Community aims to create a better world through innovation and collaboration.

Role Description

This is a volunteer, on-site role for a Machine Learning Specialist at
NASA Space Apps Challenge Zurich CH hackathon.
The Machine Learning Specialist will be responsible for implementing algorithms, developing models, analyzing data, and creating solutions using machine learning and deep learning techniques during the
hackathon 4-5th October 2025.

Qualifications

• Computer Science and Statistics skills
• Deep Learning and Machine Learning expertise
• Strong understanding of Algorithms
• Experience in data analysis and modeling
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a diverse team environment
• Previous experience in hackathons or data science competitions is a plus
• Bachelor's or Master's degree in Computer Science, Statistics, or related field

Registration:

Create account, choose location Zurich and fill short form to particiapte - onsite or fully virtual.

Company Description

At , we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

Job Description

We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the traveller's journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

The job in brief:

• Job Title - Machine Learning Scientist
• Working model - hybrid in Chiasso
• Team - you will join the Strategic Analytics team within the Technology department.
• Level - Professional
• Location - Chiasso, Switzerland
• Contract - Permanent - full-time (36 h/week)

What your impact will be:

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Dynamic Pricing algorithms based on reinforcement learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications

Your expertise:

• A Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in the field of machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Experience in Reinforcement Learning (Multi-Armed Bandit and Markov Decision Process)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch

Desirable:

• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate
• Previous experience with dynamic pricing algorithms

Additional Information

Perks of working with us:

How we work together:

• An inclusive, friendly, and international environment (you'll be working with colleagues from +10 countries and over 48 nationalities)
• Shorter working week (36h as full time), with a half working day on Fridays
• Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm
• Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together:

• Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O'reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks:

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Wish you were here? We do, too

Selection process steps*:

• HR interview
• 1st Manager Interview + Technical Interview (1 hour)
• 2nd Manager Interview (1 hour)
• Offer extended
  
  (*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.