Jobs in Germany

Senior Applied ML Engineer (Agentic Search)

Nebius

Location: Zurich

<div class="content-intro">About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</div>We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search. Your responsibilities: <ul data-start="537" data-end="1342"> <li data-section-id="830tqz" data-start="537" data-end="637">Design, train, and deploy ML models for retrieval, reranking, and search relevance in production</li> <li data-section-id="78t0vv" data-start="638" data-end="719">Build and optimise embedding-based indexing and large-scale retrieval systems</li> <li data-section-id="63fxpj" data-start="720" data-end="801">Develop models supporting crawling, data selection, and content understanding</li> <li data-section-id="9jwj8c" data-start="802" data-end="895">Define and improve quality metrics for agent-native search and build evaluation pipelines</li> <li data-section-id="gqqjpl" data-start="896" data-end="988">Work on systems operating at very large scale, including high-throughput query workloads</li> <li data-section-id="8afn7c" data-start="989" data-end="1083">Collaborate closely with engineering teams to integrate ML models into production services</li> <li data-section-id="1bizqj4" data-start="1084" data-end="1152">Analyse performance trade-offs across latency, quality, and cost</li> <li data-section-id="kyuyfn" data-start="1153" data-end="1259">Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems</li> <li data-section-id="1x65pik" data-start="1260" data-end="1342">Contribute to product and architectural decisions in a fast-moving environment</li> </ul> Must-haves: <ul data-start="1362" data-end="2033"> <li data-section-id="q8z7vp" data-start="1362" data-end="1440">5+ years of experience in software engineering or applied machine learning</li> <li data-section-id="1tqyymd" data-start="1441" data-end="1492">Strong programming skills in Python, Go, or C++</li> <li data-section-id="2mpo8y" data-start="1493" data-end="1556">Proven experience deploying ML models in production systems</li> <li data-section-id="1d1i89k" data-start="1557" data-end="1644">Hands-on experience with retrieval, ranking, recommendation, or similar ML problems</li> <li data-section-id="dn05gc" data-start="1645" data-end="1725">Strong understanding of machine learning and modern deep learning techniques</li> <li data-section-id="i0cohr" data-start="1726" data-end="1811">Experience working with large-scale data systems and high-throughput environments</li> <li data-section-id="1cv6es4" data-start="1812" data-end="1891">Ability to design evaluation frameworks and define meaningful model metrics</li> <li data-section-id="15mfzmg" data-start="1892" data-end="1957">Product-oriented mindset with a focus on impact and iteration</li> <li data-section-id="17y4jz6" data-start="1958" data-end="2033">Strong problem-solving skills and ability to work in a distributed team</li> </ul> Nice-to-haves: <ul data-start="2056" data-end="2442"> <li data-section-id="18m4zqr" data-start="2056" data-end="2127">Experience with search systems or large-scale information retrieval</li> <li data-section-id="x7dglb" data-start="2128" data-end="2197">Familiarity with embeddings, transformers, and modern NLP systems</li> <li data-section-id="1cysl7q" data-start="2198" data-end="2258">Experience working on LLM-powered or agent-based systems</li> <li data-section-id="7ib54q" data-start="2259" data-end="2345">Contributions to open-source projects, technical publications, or conference talks</li> <li data-section-id="18fd9pm" data-start="2346" data-end="2442">Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability</li> </ul> We conduct coding interviews as part of the process.  <div class="content-conclusion">Benefits & Perks: <ul> <li>Competitive compensation</li> <li>Career growth and learning opportunities</li> <li>Flexibility and ownership</li> <li>Collaborative and innovative culture</li> <li>Opportunity to work on impactful AI projects</li> <li>International environment and talented teams</li> </ul> What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI  Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.  If you need accommodations during the application process, please let us know.</div>

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Agentic Search

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Published: September 28, 2026

Senior Consultant (Strategy & Data/AI Transformation)

Artefact

Location: Zürich

<h2>Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Swiss offices are at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2>Main Responsibilities</h2> As a Senior Consultant in our Zurich/Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: <ul> <li>Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact?</li> <li>Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do.</li> <li>Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers.</li> <li>Project Delivery: Support engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps.</li> <li>Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide.</li> <li>Knowledge & Practice Building: Contribute to the growth of Artefact's Zurich office by shaping new offerings, creating intellectual capital - frameworks, thought pieces, benchmarks - and taking part in business development.</li> </ul> <h2>Candidate Profile</h2> We are looking for someone who can hold a technical position and a commercial one at the same time. The strongest candidates meet most of the following. <ul> <li>Education: A degree in Computer Science, Engineering, Data Science, Business, Economics or a related field.</li> <li>Work Experience: Around three to five years in consulting, or in a technical/date-focussed role with client-facing responsibility. </li> <li>Business Acumen & AI Fluency: A genuine dual affinity for business and technology. You are comfortable with modern data and AI concepts - generative AI and LLMs, retrieval, predictive machine learning, cloud platforms - and with what they cost and where they fail, not only with what they are called.</li> <li>Technical Depth: You have built AI or data products, not only advised on them. You can explain why you chose which model you put on which part of the work, and what that choice did to both output quality and cost. You will not be writing production code in this role, but you should have the basic understanding.</li> <li>Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, and the judgement to know which number actually decides the question. You are comfortable getting to a defensible estimate with your assumptions stated out loud.</li> <li>Communication & Interpersonal Skills: Excellent written and verbal communication. You enjoy working in teams and in front of clients.</li> <li>Languages: Fluency in German/French and English, written and spoken, is strongly preferred.. </li> <li>Work Eligibility: You must be eligible to work in Switzerland.</li> </ul> <h2>Why Join Us</h2> <ul> <li>Strategy and the Build: Artefact is neither a traditional strategy consultancy nor a pure technology player. You will move between the boardroom and the build, and be expected to be credible in both.</li> <li>Engineers, not hand-offs: Our 2,500 people include the data scientists and engineers you will work beside on the same engagement - not a delivery organisation you hand a slide deck to.</li> <li>Zurich Office Impact: As part of a growing Swiss team you will have visibility and impact from the first day. You will help shape Artefact's footprint in the region and work directly with senior leadership.</li> <li>Learning & Growth: Regular training in both consulting method and AI and data capability, combined with international exposure.</li> <li>Culture of Doers: Innovation, action, collaboration. We are entrepreneurial and fast-moving, committed to delivering impact while supporting each other's growth.</li> </ul> This position is based in Zürich or Lausanne.

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Data Consulting

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Published: September 28, 2026

Senior AI Engineer / Technical Consultant

Artefact

Location: Lausanne, Vaud

<h2 data-start="107" data-end="126">Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2 data-start="797" data-end="821">Main Responsibilities</h2> As a Senior Technical Consultant / Senior AI Engineer, you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. <ul data-start="1098" data-end="2600"> <li data-start="1098" data-end="1326"> Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. </li> <li data-start="1327" data-end="1512"> Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. </li> <li data-start="1513" data-end="1754"> Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. </li> <li data-start="1755" data-end="1927"> Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). </li> <li data-start="1928" data-end="2127"> Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. </li> <li data-start="2128" data-end="2265"> Quality, security & governance: Enforce best practices on data privacy, model risk management, responsible AI, and documentation. </li> <li data-start="2266" data-end="2425"> Team leadership & mentoring: Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators. </li> <li data-start="2426" data-end="2600"> Pre-sales & thought leadership: Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering. </li> </ul> <h2 data-start="2602" data-end="2622">Candidate Profile</h2> Engineer first, consultant second — with a builder’s mindset and a track record of shipping. <ul data-start="2717" data-end="3945"> <li data-start="2717" data-end="2874"> Experience: 5–8+ years in data/ML/AI engineering or adjacent roles, including end-to-end delivery of production AI systems (not just prototypes). </li> <li data-start="2875" data-end="3010"> Programming: Expert Python; solid software engineering (testing, packaging, CI/CD). SQL required; Java/Scala/TypeScript a plus. </li> <li data-start="3011" data-end="3145"> AI/ML: Hands-on with ML/DL and LLMs (prompting, fine-tuning/LoRA, embeddings/RAG, evaluation & observability, guardrails). </li> <li data-start="3146" data-end="3266"> Cloud: Deep experience on at least one major cloud (Azure, GCP, or AWS) deploying secure, scalable services. </li> <li data-start="3267" data-end="3504"> MLOps/LLMOps: Containers (Docker/Kubernetes), Git, pipelines (e.g., GitHub Actions/Cloud-native), model serving (FastAPI/TorchServe/Triton), experiment tracking, model registry, vector DBs (FAISS, Pinecone, pgvector, OpenSearch). </li> <li data-start="3505" data-end="3640"> Architecture & data: Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued. </li> <li data-start="3641" data-end="3761"> Consulting skills: Requirements gathering, storytelling, senior stakeholder management, and clear documentation. </li> <li data-start="3762" data-end="3876"> Languages: Fluency in French and English (written & spoken) is mandatory. </li> <li data-start="3877" data-end="3945"> Work eligibility: You must be eligible to work in Switzerland. </li> </ul> Nice to have <ul data-start="3964" data-end="4225"> <li data-start="3964" data-end="4062"> Experience with responsible AI/governance frameworks, security reviews, and cost optimization. </li> <li data-start="4063" data-end="4158"> Domain experience in one or more industries (e.g., retail, pharma, manufacturing, finance). </li> <li data-start="4159" data-end="4225"> Contributions to open-source, publications, or conference talks. </li> </ul> <h2 data-start="4227" data-end="4241">Why Join Us</h2> <ul data-start="4242" data-end="4752"> <li data-start="4242" data-end="4359"> Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering. </li> <li data-start="4360" data-end="4494"> Romandie Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership. </li> <li data-start="4495" data-end="4630"> Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice. </li> <li data-start="4631" data-end="4752"> Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth. </li> </ul> Location: Lausanne / Geneva (Romandie) If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

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Data Science

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Published: September 28, 2026

Engagement Manager (Strategy & Data/AI Transformation)

Artefact

Location: Lausanne, Vaud; Zürich

<h2>Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2>Main Responsibilities</h2> As an Engagement Manager in our Zurich or Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: <ul> <li>Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact?</li> <li>Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do.</li> <li>Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers, and you will be accountable for whether the design survives contact with production.</li> <li>Project Delivery: Run engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps.</li> <li>Feasibility & Economics: Own the answer to "will this work, and what will it cost". The evaluation approach, the unit economics per query or per case, and the point at which the business case stops closing.</li> <li>Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide.</li> <li>Team Leadership: Lead mixed teams of consultants, data scientists and engineers. You are the person who can tell whether the technical plan is realistic, and the person the client believes when you say that it is.</li> <li>Knowledge & Practice Building: Contribute to the growth of Artefact's Zurich and Lausanne offices by shaping new offerings, creating intellectual capital - frameworks, thought pieces, benchmarks - and taking part in business development.</li> </ul> <h2>Candidate Profile</h2> We are looking for someone who can hold a technical position and a commercial one at the same time, and lead a team through both. The strongest candidates meet most of the following. <ul> <li>Education: A degree in Computer Science, Engineering, Data Science, Business, Economics or a related field. A strong technical foundation counts for more with us than where you studied.</li> <li>Work Experience: Five to eight years across consulting and technology delivery, including at least one dedicated AI or data project.</li> <li>Business Acumen & AI Fluency: A strong dual affinity for business and technology. You have a deep working understanding of modern data and AI concepts — generative AI and LLMs, retrieval, predictive machine learning, cloud architectures — and of their practical business applications. You are capable of scoping AI use cases and of discussing technical constraints and opportunities confidently with C-level stakeholders.</li> <li>Technical Depth: You have owned the technical shape of AI work, not only its business case. You think in terms of enterprise architecture — how a solution fits the existing landscape, what it needs from data and governance, and how it scales from pilot to full rollout — and can defend those choices to technical and commercial stakeholders alike. You will not be writing production code, but you should have been close enough to it to be credible with the engineers with which you will collaborate.</li> <li>Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, and the judgement to know which number actually decides the question. You are comfortable getting to a defensible estimate with your assumptions stated out loud.</li> <li>Communication & Interpersonal Skills: Excellent written and verbal communication. You can take a technical trade-off to a non-technical sponsor without flattening it, and be challenged by an engineer without retreating into abstraction. You enjoy working in teams and in front of clients.</li> <li>Languages: Fluency in German/French and English, written and spoken, is strongly preferred. </li> <li>Work Eligibility: You must be eligible to work in Switzerland.</li> </ul> <h2>Why Join Us</h2> <ul> <li>Strategy and the Build: Artefact is neither a traditional strategy consultancy nor a pure technology player. You will move between the boardroom and the build, and be expected to be credible in both.</li> <li>Engineers, not hand-offs: Our 2,500 people include the data scientists and engineers you will work beside on the same engagement - not a delivery organisation you hand a slide deck to.</li> <li>Zurich Office Impact: As part of a growing Swiss team you will have visibility and impact from the first day. You will help shape Artefact's footprint in the region and work directly with senior leadership.</li> <li>Learning & Growth: Regular training in both consulting method and AI and data capability, combined with international exposure.</li> <li>Culture of Doers: Innovation, action, collaboration. We are entrepreneurial and fast-moving, committed to delivering impact while supporting each other's growth.</li> </ul>   This position is based in Zürich or Lausanne.

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Data Consulting

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Published: September 28, 2026

Sales Engineer

Catonetworks

Location:

<div class="content-intro">Welcome to the future of cloud networking and security!   Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!  </div>We are looking for a focused Sales Engineer to be a technical resource for Cato Network’s field sales force. In this role, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical advisor and product advocate for our solutions. You should be skilled at building relationships and explaining technology and product positioning to both business and technical users as well as passionate about understanding technical issues to ensure complete customer satisfaction through all stages of the sales process.  Responsibilities <ul> <li>Provide technical validation of Cato Networks solutions to prospects</li> <li>Development and delivery of product demonstrations</li> <li>Presenting the product to customers and at field events such as conferences, seminars, etc.</li> <li>Respond to functional and technical elements of RFIs/RFPs</li> <li>Convey customer requirements to Product Management teams</li> <li>Travel throughout sales territory </li> </ul> Requirements  <ul> <li>4+ years of Pre-Sales or Consulting experience working with network and/or cloud security products in a customer-facing role</li> <li>Proven track record in software sales</li> <li>Comprehensive understanding of networking technology, including: <ul> <li>LAN and WAN technologies</li> <li>Switching and routing</li> <li>Security (Firewalls and Filtering technologies)</li> <li>Cloud </li> </ul> </li> </ul> <ul> <li>Strong presentation skills and written communication in emails, RFPs, and reports</li> <li>Organised, analytical, creative and adaptive in approach and finding solutions</li> <li>French and German language skills are preferred.</li> </ul>  #LI-JW1

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Sales Engineer EMEA

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Published: September 28, 2026

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