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Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find more English Speaking Jobs in Germany on Arbeitnow

Occupancy: 100% / Start date: 01.06.2026/ Initial duration: 12 months We are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms. Responsibilities & Tasks Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices. Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications. Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions. Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments. Support CI/CD processes, automated deployments, observability, and AI platform reliability. Requirements & Qualifications 5–8 years of experience in Data Science, AI Engineering, or related roles. Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management. Experience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services. Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure. Fluent German (C2 level) and strong English communication skills (B2 or higher). Benefits & Culture Work on innovative AI and cloud projects using modern technologies and scalable architectures. Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence. Long-term project opportunity with strong potential for professional growth and impactful work. Find more English Speaking Jobs in Switzerland on Arbeitnow

Ben jij de consultant die niet alleen adviseert, maar ook daadwerkelijk de leiding neemt over de uitvoering? Die precies weet hoe een modern data platform eruitziet, welke architectuurkeuzes ertoe doen en hoe je een klant overtuigt om de juiste koers te varen? Dan zoeken wij jou. Bij BigData Republic bouwen we aan de data- en AI-ambities van toonaangevende organisaties. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als Data & AI Consultant ben jij de schakel tussen strategische visie en hands-on realisatie, een rol die we nu voor het eerst toevoegen aan ons team. Wat ga je doen? Je werkt bij onze klanten op het snijvlak van strategie en technologie. Je bent geen consultant die alleen analyseert en dat tot slides verwerkt. Jij hebt de regie van A tot Z, van hulpvraag tot en met implementatie. Je analyseert- en vertaalt de wensen van onze partners naar technisch elegante oplossingen, van platform engineering tot MLOps en AI implementatie. Vervolgens begeleid je de teams bij onze klanten die dit in productie brengen. Je vertaalt business-uitdagingen naar concrete data- en AI-strategieën en maakt dit inzichtelijk voor zowel C-level als engineering teams. Je adviseert over data-architecturen, platformen en technologiekeuzes (cloud, lakehouse, real-time, batch) en bent in staat dit inhoudelijk te verdedigen. Je leidt de implementatie: je stuurt data engineers en scientists aan, bewaakt de kwaliteit en houdt de grote lijn in het oog. Je bouwt een vertrouwensrelatie op bij de klant en groeit uit tot een vaste sparringpartner op directieniveau. Je draagt bij aan de inhoudelijke kennisbasis van BigData Republic via interne kennissessies, blogposts of externe presentaties. Je hebt minimaal 5 jaar ervaring in een data-gerelateerde rol, waarvan minimaal 3 jaar in een consultancy- of leidende positie. Je hebt diepgaande kennis van data-architectuurprincipes: data mesh, lakehouse, streaming vs. batch, governance en datakwaliteit. Je bent thuis op minimaal een van de grote cloudplatformen (Azure, AWS of GCP) en weet welke managed services wanneer worden ingezet. Je snapt hoe moderne AI-toepassingen werken (LLM's, ML-pipelines, MLOps) en weet hoe je ze verantwoord in productie brengt. Je communiceert helder: je maakt complexe technische materie toegankelijk zonder de diepgang te verliezen. Je werkt het liefst hands-on: je denkt niet alleen mee, maar pakt ook zelf door wanneer dat nodig is. Benefits Salaris tot €6.700 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Daarbovenop ontvang je 8% vakantietoeslag, jaarlijks uitgekeerd in mei Mobiliteitsbudget van €825 per maand of een leasebudget tot €925 per maand Bonus- en pensioenregeling 25 vakantiedagen 36 of 40 uur per week Hybride werken: de juiste balans tussen thuis, kantoor en klant Vrije keuze in laptop en telefoon Uitdagende én leuke projecten bij aansprekende klanten Ruimte om conferenties te bezoeken, te spreken en certificeringen te behalen Actieve deelname aan ons career path framework: groei met ons mee Een informele cultuur met ruimte voor initiatief en innovatie Vrijdagmiddagborrels, sportactiviteiten en sociale events (vrijblijvend) CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over BigData Republic BigData Republic is een high-end consultancybureau gespecialiseerd in data science, data engineering en machine learning. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als niche-consultancyteam onderscheiden we ons van de grote spelers: we leveren kwaliteit boven kwantiteit en willen een thought leader in ons vakgebied zijn. Voor onze klanten richten we ons op het creëren van businesswaarde met innovatieve datasolutions die een duurzame impact hebben. Kennisdeling en thought leadership zijn fundamentele pijlers van onze organisatie: elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogposts, organiseren meetups en bezoeken conferenties. Bij BigData Republic kun je dé expert in de ruimte zijn, en tegelijkertijd elke dag iets nieuws leren van je collega's. Word onderdeel van BigData Republic Wij verwelkomen talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. Interesse? Solliciteer eenvoudig via de Solliciteren -button. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find Jobs in Netherlands on Arbeitnow

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. What You'll Do: Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What You'll Bring: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing Experience designing high-availability and disaster recovery solutions Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications Experience with state management patterns (short-term and long-term memory) Experience designing and implementing evaluation frameworks for AI applications Strong prompt engineering skills with experience in optimization and A/B testing Experience with vector stores, RAG patterns, and knowledge organization Experience with tool integration, API design, and error handling patterns Strong Python and/or TypeScript development skills Customer-Facing: Customer-facing experience with enterprise customers Experience conducting technical assessments or infrastructure audits Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes: Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences Experience working cross-functionally with engineering teams, product teams, and customers Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation Ability to balance infrastructure architecture with agent development work Strong engineering background with hands-on development experience Compensation: £100,000-£165,000 base salary + equity Location: UK, London Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you're tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. Find Jobs in United Kingdom on Arbeitnow

We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform. Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence. We are expanding our partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure. You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures. Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains. Key Responsibilities: Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics. Translate complex business and engineering requirements into robust, production-ready algorithms. Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performance Develop signal-processing, feature-engineering, statistical-modelling, and machine-learning pipelines. Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments. Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided 3 times/week. Requirements: Strong professional experience with Python and commonly used scientific and data-science libraries (e.g., pandas, NumPy, SciPy, scikit-learn). Strong foundation in statistical analysis, algorithm development, machine learning, and data modelling. Practical experience analysing sensor signals and time-series data. Solid understanding of signal-processing techniques such as filtering, denoising, spectral analysis, Fourier or wavelet transforms, and dimensionality reduction. Experience developing, validating, and deploying machine-learning models in production or cloud environments. Ability to connect patterns in data with physical processes and real-world system behaviour. Experience with at least one deep-learning framework, such as PyTorch, TensorFlow, or JAX. Ability to write clear, modular, tested, and maintainable Python code. Experience contributing to end-to-end data-science or ML projects, from problem framing and experimentation to deployment and monitoring. Qualifications: You have at least 3 years of professional experience in data science with a focus on sensor data analysis. Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus. M.Sc . or Ph.D. degree in a relevant discipline in science or engineering. Strong analytical and problem-solving skills. Solid understanding of mathematics and physics, with the ability to apply theory to real engineering problems. A pragmatic, hands-on mindset and willingness to work with imperfect real-world data. You have strong verbal and written communication skills in English (Dutch is an advantage). Ability to work independently, take ownership, and collaborate effectively across disciplines. Nice to Have: Experience with partial-discharge, acoustic, vibration, electrical, or other condition-monitoring data. Experience with predictive maintenance, anomaly detection, fault diagnosis, or remaining-useful-life estimation. Knowledge of time-series and general-purpose databases such as QuestDB, MongoDB, or PostgreSQL. Experience with experiment tracking, dataset or model versioning, and reproducible ML workflows. Experience with GPU computing, CUDA, model optimization, or real-time edge deployment. Familiarity with MLOps practices, automated testing, CI/CD, and production model monitoring. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find more English Speaking Jobs in Netherlands on Arbeitnow

Your Opportunity We are looking for a Machine Learning Platform Engineer to join Mollie's Machine Learning Platform team, sitting within our broader Data Domain. Our ML Platform empowers Machine Learning Scientists to develop and deploy custom ML solutions at scale across Mollie, serving domains including Risk & Fraud, Payments, Merchant Experience, Financial Services, Go-to-Market, and more. As the central team responsible for Mollie's Machine Learning Platform, we own the maintenance and continuous enhancement of the platform, ensuring it remains reliable, scalable, and fit for production-grade workloads. We work closely with domain teams to bring custom ML models into products, bridging the gap between research and real-world impact, while also designing and developing custom GenAI tooling and platforms for both internal employees and Mollie's customers. This is a hands-on role where you will spend the majority of your time writing Python and Terraform alongside a team of skilled ML Platform Engineers. Based at Mollie's Lisbon Hub, you will be part of a geographically distributed team spanning Amsterdam and Lisbon, working in a collaborative environment that embraces both remote and hybrid ways of working. What you'll be doing As an ML Platform Engineer, you will: Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across Mollie's domain teams to deliver scalable Machine Learning solutions Deploy and operationalize ML models to production in partnership with Machine Learning Scientists, bridging the gap between experimentation and real-world impact Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and Terraform daily Build and maintain CI/CD pipelines for ML model training and inference, ensuring reliable and automated workflows across environments Deploy, manage, and scale model serving endpoints on Kubernetes, ensuring low-latency, high-availability inference for production workloads Assist in extending, developing, and hosting custom and open-source AI tooling ; enabling teams to rapidly build and deploy AI-powered solutions. Champion MLOps best practices, implementing standards around model versioning, experiment tracking, data validation, and automated retraining Ensure platform reliability by setting up observability, monitoring, and alerting for both infrastructure and deployed models Maintain and enhance open-source AI tooling hosted at Mollie (such as LiteLLM and LibreChat), and further support and expand our generative AI capabilities. What you'll bring 1+ year of experience deploying and maintaining ML models in production Good understanding of MLOps principles, including matters such as experiment tracking, reproducibility, pipeline automation, model versioning, and monitoring in production Strong hands-on Python programming skills, with proficiency across common ML and data libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, and MLflow Familiarity with at a major cloud platform, preferably GCP Experience with containerization (Docker), with preferred familiarity in container orchestration tools such as Kubernetes and Kubeflow. Strong context-switching ability with sharp attention to detail, adapting quickly to shifting priorities Preferably familiarity with infrastructure-as-code (IaC) tools such as Terraform Experience building and maintaining CI/CD pipelines for ML workflows Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy. If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Find more English Speaking Jobs in Netherlands on Arbeitnow

For a renowned Swiss bank in Zurich, we are looking for an experienced cloud and platform engineer. You will provision and run platform services as code, depending on the team, with a focus on Entra ID automation, a data platform on Azure or a Kafka platform on Kubernetes. Your tasks Provision platform services with infrastructure as code, using Terraform, Helm and GitLab Automate build, test and release processes and run CI/CD pipelines Operate and develop Azure Kubernetes and storage accounts Depending on the team, automate Entra ID, build a data platform on Azure Postgres with lakehouse technologies, or upgrade Confluent Kafka on Kubernetes Your profile German at C1 level or higher, the project language is German. Understanding of Swiss German is expected Very good Azure skills and experience with Kubernetes Infrastructure as code with Terraform DevOps toolchain with Git, GitLab, Docker and CI/CD Experience applying cloud security technologies Several years of experience at senior level Nice to have Go, Python or Bash OAuth, SAML, OpenID Connect and Conditional Access Iceberg or Delta, Denodo Find Jobs in Switzerland on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role We're looking for a hands-on scientist-engineer to help build our next-generation DNA synthesis platform, enabling high-throughput, cost-effective production of large and diverse DNA libraries. You'll work at the intersection of chemistry, materials science, bioengineering, and hardware development, designing and building prototypes, running experiments, and optimizing processes to turn new synthesis technologies into reliable, scalable production systems. DNA synthesis is a fundamental part of our protein engineering platform. We're developing new approaches to dramatically increase synthesis throughput while reducing cost and turnaround time. You'll work closely with our scientific and engineering teams to develop and prototype new DNA synthesis technologies. Your focus will be on translating scientific concepts into working hardware and experimental systems, designing and building prototypes, testing different approaches, and continuously improving their performance. This is a highly hands-on, interdisciplinary role combining experimental science with practical engineering. You'll take ownership of prototype development, experimental validation, and process optimization, helping move promising technologies from early concepts to reliable, scalable systems. We're looking for someone who enjoys building things, solving technical problems, and working across disciplines. You don't need to be an expert in DNA synthesis, but you should have strong scientific fundamentals, an engineering mindset, and experience turning ideas into working prototypes. What You'll Do Design, build, and test prototypes for next-generation DNA synthesis technologies. Translate scientific and technical requirements into practical engineering designs and experimental setups. Scope and evaluate different technical approaches, components, materials, and equipment for prototype development. Develop and optimize the chemistry, materials, and processes underlying the synthesis platform. Design and execute experiments to characterize performance, identify limitations, and improve reliability. Work closely with mechanical, electronics, software, and automation engineers to develop integrated experimental systems. Troubleshoot complex technical problems across chemistry, hardware, and process engineering. Develop analytical methods and quality control strategies to measure performance and guide optimization. Help scale successful prototypes into robust, reproducible systems suitable for routine production. Work with external suppliers and engineering partners to source components, evaluate technologies, and accelerate development. What We're Looking For A strong background in chemical engineering, chemistry, materials science, bioengineering, mechanical engineering, or a related field. Hands-on experience designing, building, and testing experimental setups, prototypes, or laboratory equipment. Strong understanding of chemistry, materials, or process engineering, with the ability to apply these fundamentals to practical engineering challenges. Experience developing and optimizing experimental processes, including systematic troubleshooting and performance characterization. Comfortable working across hardware and experimental science, translating scientific requirements into practical engineering solutions. Experience selecting components, evaluating technical trade-offs, and iterating on prototype designs. Strong experimental skills, including designing experiments, analyzing data, and making decisions based on results. Independent, resourceful, and comfortable working on open-ended technical problems. A practical, hands-on approach to engineering, with a focus on building, testing, and improving systems rather than purely theoretical development. Experience with DNA or oligonucleotide synthesis, including chemical or enzymatic approaches, is a plus. Experience with solid-phase synthesis, surface chemistry, or chemical process development is a plus. Familiarity with microfluidics, high-throughput dispensing, or array-based technologies is a plus. Experience with laboratory automation, instrumentation, or custom hardware development is a plus. Experience with CAD, electronics, fluidics, or mechanical prototyping is a plus. Experience scaling experimental technologies from proof of concept to production is a plus. Programming and data analysis experience, particularly in Python, is a plus. Details Location: Lausanne, Switzerland (on-site) Type: Full time Start date: ASAP We review applications on a rolling basis. Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Zusammenarbeit mit Deinen Kunden bei der Implementierung, dem Betrieb und der Optimierung von Daten und ML-Lösungen Verantwortung für das erfolgreiche Deployment und Management von Machine-Learning-Modellen und der zugrundeliegenden Plattform Konzeption, Entwicklung und kontinuierliche Optimierung automatisierter CI/CD-Pipelines unter Berücksichtigung von Qualität, Sicherheit und Skalierbarkeit Bewertung und Einführung moderner Technologien und Best Practices in den Bereichen Automatisierung, Monitoring, Observability und Skalierbarkeit Förderung einer effektiven interdisziplinären Zusammenarbeit sowie Etablierung gemeinsamer Standards und Best Practices zwischen Entwicklung, Data Science und Betrieb Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Erfolgreich abgeschlossenes Studium der Informatik, Computer Science, Data Science oder eine vergleichbare Qualifikation Fließende Deutsch-Kenntnisse, mündlich sowie schriftlich Mindestens 4 Jahre Vollzeit Berufserfahrung, inkl. Aufbau und Wartung von Infrastruktur-/Datenlösungen Du hast Erfahrungen mit Cloud-Diensten wie AWS und/ oder Azure Du hast Erfahrung mit Container-Orchestrierung, bspw. Kubernetes, Helm Infrastructure as Code, z.B. Terraform oder AWS CloudFormation sind für Dich keine Fremdwörter Du kennst Dich mit CI/CD Pipelines aus Die Überwachung und Alarmierung sowie Incident Management gehören für Dich zum Alltag Gute Skripting-Kenntnisse in Python oder Shell Starke Problemlösungskompetenz sowie selbstständiges Arbeiten trotz hoher Teamkompetenzen Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Michaela Ostertag, Principal People Partner Find more English Speaking Jobs in Germany on Arbeitnow

Logistics at full potential. At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of. Afternoon shift: Monday - Friday 2:30pm - 11:00pm Continue to Grow with GXO. At GXO, we know our greatest asset is pe…

Logistics at full potential. At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of. Afternoon shift: Monday - Friday 2:30pm - 11:00pm Continue to Grow with GXO. At GXO, we know our greatest asset is pe…