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Working at Giardino Restaurant is unlike anything else you?ve experienced before. Since our menu is a journey into a new way of eating, those who prepare, present and serve the food are key to telling our story. Our family of chefs, managers, cooks, servers, bartenders, hosts, dishwashers and more are the key ingredients to our growth and success. Join our growing team and we?ll show you how passionate we are about making your career goals come TRUE. Qualifications Minimum 3 years culinary experience as a Pastry Chef in a high-end restaurant preferably in a leadership role Proficiency in English. Knowledge of Italian is an asset. Excellent knowledge of current culinary trends Strong written and verbal communication skills Exceptional leadership skills, with the ability to mentor and develop the culinary team Able to work in a fast-paced, changing environment Job Type: Permanent Pay: From $25.00 per hour Work Location: In person

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 15th November 2026, end of day, anywhere on Earth. About the team Security Engineering at the AI Security Institute (AISI) protects our people, partners, models, data and the research infrastructure that AISI's work depends on. We build secure-by-design platforms, automated governance and intelligence-led detection. We work closely with research units and technology teams so researchers can get on with their work. We're now building an offensive security team and have three roles available. About the role We're looking for an experienced offensive security engineer who builds and breaks. You should be able to find and exploit vulnerabilities across cloud, infrastructure and application layers, and want to apply that work to containing and evaluating frontier AI models. Offensive security testing is one of the key controls behind AISI's model evaluations. You'll run engagements against our evaluation and research infrastructure. That includes the sandboxes, Inspect (our open-source evaluation framework), and the supporting cloud, identity and platform services. Alongside testing, you'll build and own agent-assisted red-teaming harnesses that test this infrastructure continuously. You'll work directly with the engineers and with research teams on cyber ranges and evaluation tasks, and there's scope to publish and present your work externally. If you want to attack the systems frontier AI is tested in, use AI agents for offensive work on real targets, and see your findings change how those systems are built, we'd like to hear from you. What you'll be doing: Attacking evaluation sandboxes. Testing the environments that contain frontier models during evaluations, including container and VM escape, egress controls, and attacking on the evaluation host from inside the sandbox. Finding vulnerabilities in Inspect. Finding vulnerabilities in our open-source evaluation framework and the infrastructure around it, and coordinating fixes and disclosure with maintainers and downstream users. Building and running agent-assisted harnesses. Building, operating and maintaining agent-assisted red-teaming harnesses end to end. Running them, along with manual testing, against every new sandbox and evaluation infrastructure release before evaluations depend on it. Triaging and proving findings. Separating real issues from noise in what the agents find and confirming the real ones with working exploits. Comparing agents and humans. Running agent and human red-teaming against the same targets, and feeding what you learn back into the tooling. Running wider engagements. Planning and running scoped engagements against our cloud, identity, model-access paths and research platform, including joint exercises with our detection team. Working with researchers. Helping to build and harden cyber ranges, reviewing evaluation tasks for realism and scoring, and providing human baselines. Managing external testing. Scoping and reviewing external penetration tests. Working within governance. Keeping model-assisted offensive work within AISI's internal safety governance and approval processes. Sharing your work. Where appropriate, publishing research, writing blog posts and giving talks on sandbox security and AI-assisted offensive work. Key competencies: Finding and exploiting vulnerabilities in complex, fast-changing systems Building tools that make offensive work repeatable Judging which findings are real and worth fixing, including findings from AI agents Operating safely and accountably under rules of engagement Who we're looking for Essential experience: You may be a good fit if you have some of the following skills, experience and attitudes: Substantial hands-on offensive security experience in red teaming, penetration testing, vulnerability research or exploit development, with findings you can talk through in depth Depth in at least two of: cloud and infrastructure (AWS preferred) container, VM or sandbox escape application security vulnerability research and exploit development Strong Python and/or another language such as Go, Rust or C, and a track record of writing tools that other people use and that you maintain Experience testing live systems safely Clear written and verbal communication, including findings that engineers can act on, and the ability to get issues fixed in teams you don't manage A serious interest in where frontier AI is heading, and motivation to help make it safe Desirable experience: We may also consider experience with: Building or using LLM agents, for security work Linux internals, kernel or hypervisor security, and isolation technologies such as Kubernetes, gVisor, Firecracker or Proxmox CTF challenge design, cyber range building or offensive training content Published CVEs, research, conference talks or open-source security tools Coordinated vulnerability disclosure ML evaluation frameworks and AI/ML platforms Mentoring other engineers and raising the technical level of a team We encourage you to apply even if you don't meet every point above. We care more about what you've broken, and how, than about certifications or job titles. Selection process The interview process may vary from candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross-section of our team at AISI (including non-technical staff) and conversations with your team lead. The process will culminate in a conversation with members of the senior leadership team here at AISI. Candidates should expect to go through some or all of the following stages once an application has been submitted : Initial assessment Initial screening call Technical assessment Research interview Behavioural interview Final interview with members of the senior leadership team Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required - we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. What We Offer Impact you couldn't have anywhere else Incredibly talented, mission-driven and supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy If you're talented and driven, you'll own important problems early. 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: Level 3: £65,000–£75,000 (Base £40,850 + Technical Allowance £24,150–£34,150) Level 4: £85,000–£95,000 (Base £48,540 + Technical Allowance £36,460–£46,460) Level 5: £105,000–£115,000 (Base £63,165 + Technical Allowance £41,835–£51,835) Level 6: £125,000–£135,000 (Base £76,475 + Technical Allowance £48,525–£58,525) Level 7: £145,000 (Base £76,475 + Technical Allowance £68,525) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Use of AI tools in recruitment We may use AI tools to help our hiring team review applications, for example by summarising application materials and helping us prioritise them against the published criteria. We do not use AI tools to find information about you from other sources, including online. People make every decision. We do not make solely automated decisions about candidates. Find out more, including your rights, in our recruitment privacy notice: https://www.aisi.gov.uk/careers/privacy-policy. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK . Find Jobs in United Kingdom on Arbeitnow

Stellenbeschreibung smino ist eine innovative Software-Lösung zur reibungslosen Koordinierung von Bauprojekten. Unsere Kunden erfassen mit Leichtigkeit Protokolle, weisen Aufgaben zu und teilen relevante Baupläne und Dateien mit allen Beteiligten. Wir glauben, dass nur starke Teams eine lebenswerte Welt bauen können. Dafür vereinen wir die Stärken jedes Einzelnen im Team und führen komplexe Bauprojekte zum Erfolg. Wir dürfen bereits äusserst namhafte Kunden und bekannte Bauprojekte zu unseren Referenzen zählen und sind mit Vollgas auf Expansionskurs. Dafür suchen wir dich: Deine Aufgaben Analyse und Konzeption von Nutzerbedürfnissen und geschäftlichen Anforderungen. Planung und Durchführung von Nutzerforschung (z. B. Interviews und Analyse von Nutzungsdaten), um wertvolle Erkenntnisse zu gewinnen. Entwicklung von Konzepten für Web- und Mobile-Oberflächen für unsere B2B-SaaS-Plattform in der Baubranche. Umsetzung deiner Konzepte in Figma, einschließlich Wireframes, Mockups und interaktiver Prototypen, unter Einhaltung unseres bestehenden Designsystems. Bereite deine Designs strukturiert für die Übergabe an das Entwicklungsteam vor. Validiere deine Lösungen durch Usability-Tests und leite konkrete Verbesserungen ab. Arbeite eng mit dem Product Owner, dem Design Lead und den Entwicklern zusammen. Beziehe die Nutzerperspektive aktiv in Produktentscheidungen ein. Du nutzt KI-Tools, um Nutzerfeedback zu synthetisieren, Research-Daten zu strukturieren und schneller Hypothesen für die Produkt-Discovery zu validieren. Das bringst Du mit Dein Profil 2–5 Jahre Berufserfahrung im Bereich UX/UI-Design, idealerweise in einem B2B-SaaS-Umfeld. Fundierte Kenntnisse in Figma. Erfahrung mit Usability-Tests. Strukturierte und selbstständige Arbeitsweise mit ausgeprägten Problemlösungsfähigkeiten. Teamplayer mit klaren Kommunikationsfähigkeiten, der gerne mit unterschiedlichen Stakeholdern zusammenarbeitet. Du experimentierst aktiv mit KI-Workflows, um die Effizienz und Qualität deiner Design-Arbeit kontinuierlich zu steigern. Sprachekenntnisse: Deutsch (mindestens. C1), Englisch (mindestens Niveau B2). Pensum: 80% Von Vorteil Erfahrung in der UX-Forschung (Interviews, Analyse, Synthese). Vorherige Erfahrung im B2B-SaaS-Bereich, idealerweise in der EU. Erfahrung im Design mobiler Benutzeroberflächen. Idealerweise hast du ein Verständnis für Prompt Engineering im Kontext von UI-Design und weisst, wie KI-Modelle als Co-Creation-Partner eingesetzt werden können. Du hast bereits erste Erfahrungen in einem AI SDLC Flow gesammelt. Erfahrung in der Bauindustrie. Warum wir? Attraktive Arbeitsbedingungen: modernes Büro im Zentrum von Zürich (nahe ETH Polyterasse) Innovatives, modernes und internationales Unternehmen mit inspirierender Arbeitsatmosphäre, Startup Flair Junges, humorvolles, ambitioniertes und smartes Team und flache Hierarchien Hybrides Arbeitsumfeld mit der Möglichkeit für Home-Office Neue IT Ausstattung (Choose your own device) So wird deine Bewerbung am schnellsten bearbeitet Bitte lade deine Bewerbungsunterlagen in wenigen Klicks hoch, indem du auf "Jetzt bewerben" ganz unten auf der Seite klickst. Wir arbeiten auf diese Stelle nicht mit Personalvermittlern zusammen und antworten nicht auf Bewerbungen, welche über Personalvermittlungen hochgeladen wurden. Find more English Speaking Jobs in Switzerland on Arbeitnow

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! About The Role We're pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our QA Automation Engineer within AI, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy. Your Impact Develop and execute end-to-end automated test coverage across evaluations, APIs, UIs, and performance tests using Python. Implement testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows within your workstream. Run and maintain automated test suites for prompt testing, including regression tests designed to detect unintended changes in model behaviour. Support and maintain evaluation frameworks to measure GenAI performance across accuracy, relevance, safety, consistency, and latency. Contribute to curating high-quality test datasets and "golden examples" that represent diverse user scenarios and edge cases. Assist in adversarial testing to identify potential model hallucinations or biases, and support the integration of production alerting systems. Utilise internal tools and testing frameworks to help developers easily validate their GenAI code, and assist with user acceptance testing. Take accountability for your workstream's automated coverage , documenting testing procedures and known issues in clear, accessible formats. Your Skills Solid QA or test engineering experience, with exposure to or a keen interest in AI/ML systems. Hands-on Python coding experience. Good understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns. Solid experience with test automation frameworks and scripting (Python, Pytest, API, and UI Testing). Practical knowledge of software testing methodologies (functional, integration, regression, performance, security testing). Experience with API testing tools (Postman, REST Assured) and backend testing. Familiarity with CI/CD pipelines and automated testing integration. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper – this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an ----- email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to ----- before taking any further action in relation to the correspondence. Privacy & AI Notice C andidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice . This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications. Find Jobs in United Kingdom on Arbeitnow

Your mission Our Data Scientists and AI/ML Engineers build AI solutions. You make them usable for everyone at EDRI. As a Full-Stack AI Engineer in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will build the internal platform that makes AI solutions accessible to hundreds of colleagues across EDRI. You will work across frontend, backend, infrastructure, and AI integration, taking full ownership from the initial architecture to reliable operation in production. Where this is heading: every colleague builds their own applications with AI coding tools, while login, backend, security, and hosting are set up automatically – and you design it. You report to our Head of AI Strategy. Your Responsibilities Build our internal AI platform from scratch and develop it into one central place for all AI solutions Design a modular architecture that allows new AI solutions to be integrated and launched quickly Develop intuitive frontends, including conversational, generative, and streaming interfaces Build backend services and APIs, integrating models and services developed by our AI/ML Engineers Implement authentication, role management, access controls, and secure system integrations – security by design Ensure scalability and performance for hundreds of users and millions of requests through load testing, caching, and continuous optimization Own the platform's reliability, security, monitoring, latency, and cost in production Evaluate emerging AI models, AI tooling, and agentic systems and integrate solutions that add value Develop a secure self-service environment, within clear guardrails, that enables colleagues to create their own AI-powered applications This is a senior individual contributor role. Your profile You are a full-stack engineer with practical AI/ML experience who enjoys building products from the ground up. You combine strong technical expertise with a high level of ownership and can turn an ambitious vision into a secure, scalable, and user-friendly platform. Must have Proven experience building and operating web applications in production from frontend to infrastructure Strong skills in TypeScript and React or similar frontend technologies Backend development experience with Node.js and/or Python Experience scaling and securing applications, including performance optimization, caching, load testing, and authentication Hands-on experience integrating LLMs or machine learning models into applications Experience with cloud platforms, containers, and CI/CD – we run on Azure, AWS or GCP experience transfers Strong ownership mindset and the ability to work effectively without detailed specifications Nice to have Streaming or real-time interfaces Single sign-on and identity platforms such as Microsoft Entra ID Internal platforms or developer tools You have built a product from scratch We hire for spikes, not for resumes. Don't tick every box? Apply anyway and show us what you have built. Why us? People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events With us, you get the best of both worlds - 100% start-up with the support of a large company The freedom you need: We offer you hybrid working with flexible working hours Workation: Enjoy the flexibility to work temporarily from abroad – within the EU You will receive a competitive salary A company pension scheme is of course also one of the benefits with us Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year You get everything you need to get started: onboarding with welcome gifts and all the hardware you need Contact Diversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture! Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own. We look forward to getting to know you! Laura Junior Recruiter Do you have any questions or difficulties with your application? Please contact me at ----- Find more English Speaking Jobs in Germany on Arbeitnow

About GeneralMind GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics. Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments. We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows. About the role We are looking for a Senior AI Engineer who treats LLMs as production software, not as magic. Someone who can own the agent layer of our platform end to end - from prompt and context design, through tool use and orchestration, to evals, reliability, and continuous improvement in live customer environments. This role sits at the intersection of two things that are rarely mastered together: shipping LLM-powered systems that actually work in messy enterprise reality, and the discipline of a real engineer - evals, observability, cost, latency, failure modes. Models get smarter every month. What stays scarce is the engineering judgment to make them reliably useful on top of SAP, Oracle, and the mess of real operational data. You will be a senior individual contributor working directly with the founders. The person in this role won't be handed a roadmap - they'll help define it, and build the AI practice around it. What you will do AI Ownership Own the agent layer end-to-end: prompt and context design, tool use, orchestration, evals, and long-term technical direction. Be the person who understands why an agent made the decision it made - and who other engineers come to when a model behaves in ways they can't explain. Set the bar on how we build with LLMs: eval-driven development, context engineering, structured outputs, cost and latency discipline. Make foundational decisions with conviction - which model, which pattern, which guardrail - document the reasoning, and evolve them as the system grows. LLM Systems in Production Design agents that survive real enterprise environments: ambiguous inputs, flaky upstream systems, exception cases that weren't in anyone's spec. Build the eval harness that lets us ship confidently: offline evals, online evals, regression suites, human-in-the-loop review. Think in failure modes: hallucinations, silent drift, prompt injection, tool misuse. Build the detection before you need it. Own cost and latency as first-class product requirements, not afterthoughts. Agent & Context Engineering Design agent architectures that compose cleanly: tool selection, state, memory, planning, escalation. Build the context layer that makes agents actually useful on top of SAP and Oracle data - retrieval, grounding, schema awareness, auditability. Evolve agents without breaking live customer deployments; manage prompt and model versioning with intention. Know when the right answer is a bigger model, a better prompt, a fine-tune, a tool, or just classical code. Reliability & Systems Thinking Detect regressions in agent behavior before a customer does; build the evals and observability to catch them early. Own the operational posture of the AI systems you ship: alerting, runbooks, replay, on-call readiness. Identify structural debt in prompts, pipelines, and context before it compounds; refactor with thought. What we are looking for Experience: 6+ years building production software, with clear ownership of LLM-powered systems in real customer environments - not demos, not notebooks. LLM depth: Non-negotiable. You've shipped agents or LLM features that run on live traffic. You have strong opinions about prompting, context, tool use, structured outputs, and what breaks in production. Evals as a first instinct: You don't ship LLM code without a way to measure it. You've built eval pipelines that actually catch regressions, not just vibes. Python depth: You're fluent in Python and comfortable in production service codebases. You make deliberate calls about async, framework choice, and performance. Reliability instinct: Hallucination containment, idempotency on tool calls, graceful degradation when a model is wrong - part of how you design, not patched in later. End-to-end ownership: You're comfortable being the person who holds the full agent picture - from prompt to production incident. You identify what's broken or missing before you're asked. A real spike: We're a strong team with broad coverage. What we're hiring for is someone who brings a 10x improvement in an area we're currently underinvested in. That might be agent evaluation, context engineering on enterprise data, agentic reliability, deep NLP/LLM internals, or domain-specific grounding. We don't know exactly what shape it takes - but you should know what yours is, and be able to articulate why it matters. Find Jobs in Germany on Arbeitnow

Als Pionier in der Bauwerkserfassung entwickeln wir hochpräzise, KI-gestützte 3D-Modelle, die die Inspektion und Instandhaltung von Bauwerken – auch unter Wasser – revolutionieren. Unsere Scantechnologie liefert detailgenaue, georeferenzierte digitale Zwillinge und setzt neue Maßstäbe in Präzision und Kosteneffizienz. Unser Cloudportal ermöglicht das LifeCycle Management von Bauwerken auf einem völlig neuen Niveau! Du begeisterst dich für KI, denkst dich gerne in neue Themen ein und möchtest aus Ideen funktionierende Anwendungen machen? Du erkennst Verbesserungspotenziale und hast Lust, Lösungen für ganz unterschiedliche Herausforderungen zu entwickeln? Dann gestalte mit uns, wie wir bei HydroMapper Daten auswerten, Prozesse automatisieren und neue Technologien in die Praxis bringen. Werde Teil unseres dynamischen Teams in Vollzeit an unserem Standort in Hamburg ! Deine Aufgaben: KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise zur automatisierten Erkennung und Vermessung von Bauwerksschäden. Analyse- und Auswerteprozesse verbessern: Du hinterfragst bestehende Abläufe und entwickelst sie weiter – von der Datenaufbereitung über die Analyse bis zur Bereitstellung nutzbarer Ergebnisse. Manuelle Prozesse automatisieren: Gemeinsam mit unseren Teams identifizierst du wiederkehrende oder aufwendige Arbeitsschritte und entwickelst Lösungen, die den Arbeitsalltag erleichtern. LLMs und KI-Agenten integrieren: Du entwickelst Anwendungen mit Sprachmodellen und baust KI-Agenten, die Informationen erschließen, Werkzeuge und Schnittstellen nutzen und definierte Prozessschritte übernehmen. Neue Technologien nutzbar machen: Du verfolgst aktuelle Entwicklungen, erprobst vielversprechende Ansätze und bewertest, welchen konkreten Nutzen sie für unsere Produkte und Prozesse bieten. Lösungen in die Anwendung bringen: Du begleitest deine Ideen von der Problemdefinition über Prototypen und die Bewertung ihrer Qualität bis zur Integration. Dabei arbeitest du eng mit Data Science, Produktmanagement, Softwareentwicklung und unseren Fachexpert:innen zusammen. Qualifikation Gute Programmierkenntnisse in Python und Erfahrung darin, funktionierende Anwendungen zu entwickeln Praktische Erfahrung in der Entwicklung von KI-Lösungen und fundierte Kenntnisse in mindestens einem der Bereiche Computer Vision, maschinelles Lernen mit 3D-Daten oder LLM-basierte Anwendungen, idealerweise erste Erfahrungen in der Arbeit mit Punktwolken Ein gutes Verständnis für Datenaufbereitung, die Bewertung von Modellergebnissen und die Integration von KI in bestehende Anwendungen und Abläufe Ein abgeschlossenes Studium in Informatik, Data Science, Mathematik oder einer Ingenieurwissenschaft mit Schwerpunkt Datenanalyse, Geomatik oder vergleichbar bzw. vergleichbare Kenntnisse aus praktischer Erfahrung Sehr gute Deutschkenntnisse, gute Englischkenntnisse Benefits Reale Fragestellungen mit praktischem Nutzen: Deine Arbeit unterstützt die Bewertung und den Erhalt von Infrastruktur und verbessert unsere täglichen Abläufe. Ein vielseitiges Aufgabenfeld: Du arbeitest an der Schnittstelle von KI, Software, Messdaten und ingenieurtechnischen Anwendungen. Mitgestaltung: Du kannst eigene Ideen einbringen und beeinflussen, wie wir KI in unseren Produkten und im Unternehmen einsetzen. Fachlicher Austausch: Du arbeitest mit Menschen aus Data Science, Softwareentwicklung, Produktmanagement und Vermessung zusammen. Weiterentwicklung als Teil der Aufgabe: Das Erproben neuer Technologien und der Aufbau von Wissen gehören ausdrücklich zu dieser Rolle, unterstützt durch regelmäßige interne und externe Fortbildungen Flexible Arbeitszeiten mit Arbeitszeitkonto und die Möglichkeit, mobil zu arbeiten Ein sicherer und modern ausgestatteter Arbeitsplatz und eine umfangreiche Einarbeitungszeit Eigenständiges und selbstverantwortliches Arbeiten Zuschuss zum HVV Premium Deutschlandticket oder zum Parkhaus Zuschuss zur betrieblichen Altersvorsorge Freie Getränke Zuschuss zum Angebot des Urban Sport Clubs oder von Hansefit Gemeinsame Veranstaltungen und Events Freie Getränke, Mitarbeitervorteilsportal, Geburtstagsgutschein uvm. Klingt spannend? Dann bewirb Dich bei uns mit Deinen aussagekräftigen Bewerbungsunterlagen unter Angabe Deiner Gehaltsvorstellung und Deines frühestmöglichen Eintrittstermins. Wir freuen uns auf Deine Bewerbung! Dein Kontakt Kerstin Pöpplau Personalreferentin Recruiting HydroMapper GmbH ∙ Veritaskai 6 ∙ 21079 Hamburg +49 40 / 79 00 01 - 382 Find more English Speaking Jobs in Germany on Arbeitnow

For this role, we will only consider candidates who are currently based in the Netherlands. About SkinVision Skin cancer is highly treatable when caught early, but limited access to specialist care and long wait times delay diagnosis, increasing the risk of late-stage cases and driving up treatment costs. SkinVision, founded in Amsterdam in 2012, exists to close that gap. Our proprietary AI — certified as a Class IIa medical device under EU regulation, with over 90% sensitivity and 89% specificity — has already helped over 3 million people worldwide. Today, SkinVision has a database of more than 6 million skin cancer images and can reach 20 million people through insurer partnerships. Where needed, cases are reviewed by a team of dermatologists, who support users in taking the right next step — from urgent care to a specialist referral. We are extending this further, connecting users faster to the specialist care they need. We're a focused, international team, active globally, united by one goal: making early detection accessible to everyone, everywhere. If you join us, you're not just building a product — you're helping close the gap between a person noticing something and getting the care they need. Senior Machine Learning Engineer at SkinVision We're on the lookout for a Senior Machine Learning Engineer based in our Amsterdam office with the right skills and experience to ensure the Machine Learning team releases models with exceptional performance making use of state-of-the-art techniques. Not only are ML models vital to our product and hence for our end users, e.g., enabling early detection of skin cancer, they also enable our internal team to perform optimally. The ideal candidate possesses strong expertise in training new and optimizing existing Machine Learning and computer vision models (Python), has hands-on experience in MLOps and deploying models to production (preferably in AWS) and is able to gather requirements and communicate results to the stakeholders directly involved in the model development and deployment. Moreover, in this senior role, it is vital that you can mentor other team members, own the technical processes and actively contribute to the ML roadmap. Knowledge of data orchestration tools (Apache Airflow), data modeling (dbt) and working in a regulated and/or medical environment are a plus! What you will do Drive the full ML model development lifecycle: from understanding and co-defining the problem to providing inputs on data collection, assessing the quality of data, model training, validation, deployment and monitoring. Create requirements for data collection for both new and existing models. This includes data for model training and testing. Develop and improve efficient ML training pipelines in the cloud (AWS or similar). Involve stakeholders appropriately during the entire development, deployment and monitoring lifecycle. Scale the ML environment and processes to multiple models being developed and deployed simultaneously. Ensure ML development aligns with medical device standards if applicable, including ML best practices, experiment tracking, traceability, data lineage and documentation. Support and mentor team members. Showcase ML models and capabilities both internally and externally, by giving presentations, workshops, training, etc. Stay abreast of the latest industry standards, best practices and emerging trends in Machine Learning and AI and share insights with the broader team. Your profile 8-10 years of proven professional experience as a Machine Learning Engineer or similar role, showcasing exceptional proficiency in model training, deployment within a consumer product, data analysis, stakeholder management and teamwork/mentoring. Bachelor's or Master's degree in Data Science, Econometrics, Statistics, Computer Science or a related field. Skills Ability to translate user needs and requirements into technical requirements and a development plan. Hands-on expertise with modern deep learning architectures and other ML architectures, ideally but not restricted to image data. Hands-on experience with MLOps practices for scalable training, deployment and monitoring. Experience in developing and deploying ML models for a consumer product (mature development processes), ideally in the healthcare space or a regulated environment. Ability to iterate quickly from ideas to experiments, learning from results and making data-driven decisions. Strong analytical mindset, problem-solving skills and the ability to extract actionable insights from intricate datasets. Excellent communication and presentation skills, with the capacity to effectively convey technical concepts to diverse audiences. Proven ability to thrive in a collaborative, cross-functional team environment, managing multiple priorities and deadlines. Experience with mentoring and leading team members. What we offer you A competitive salary, additional benefits, and a hybrid working policy A vibrant, dynamic, and rapidly growing scale-up in Amsterdam An enthusiastic, professional, and international team Regular team events, including off-sites and fun activities Unlimited skin checks for you Find more English Speaking Jobs in Netherlands on Arbeitnow

Im Auftrag unseres Mandanten Tegtmeier Internet Solutions GmbH suchen wir – Sinnkontor GmbH – eine:n Junior Machine Learning Engineer (m/w/d) Warum wir? Tegtmeier Internet Solutions: Qualität & Leidenschaft. Seit über 20 Jahren liefern wir zuverlässige Softwarelösungen – anything but ordinary. Bei uns fühlen sich Entwickelnde wohl, die gerne in einem starken, enthusiastischen Team auf Augenhöhe gemeinsam wachsen und Leidenschaft für Technik teilen. Mit hanseatisch bodenständigem Geist bringst du dein Wissen ein und entdeckst gleichzeitig Neues – in einer offenen Unternehmenskultur, die Innovation, Nerdigkeit und Kreativität fördert. Wir schaffen einen Raum, der ebenso fördernd und fordernd wie familiär ist – mit abwechslungsreichen Aufgaben und flachen Hierarchien. A Place That Benefits You. Das erwartet dich: Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee. Themen wie Tourismus, mentale Gesundheit und Musikbranche treffen auf moderne Software-Stacks und KI-gestützte Entwicklung. Wenn du Lust hast, mit uns Dinge zu bauen, die nicht nach 08/15-Enterprise riechen, sondern richtig was bewegen, dann suchen wir dich! Aufgaben Du arbeitest mit KI-Agenten im Code (z. B. Claude Code, Codex) und prüfst ihre Ergebnisse selbst. Du entwickelst Modelle für Recommendations, Prognosen und Klassifizierungen. Du evaluierst Modelle mit klaren Metriken und Vergleichswerten. Du bindest KI-Services an das Produkt an, z. B. LLMs, Embeddings oder Textverarbeitung (NLP). Außerdem baust du Agenten mit Function Calling/MCP. Du bringst Modelle in den Betrieb und wartest sie (MLOps). Du bewertest mit, wo KI und ML im Produkt wirklich helfen und wo nicht. Du bringst Lösungen mit dem Team vom Prototyp in den Betrieb, inklusive Deployment und Monitoring. Du erklärst Ergebnisse verständlich und sagst offen, wo die Grenzen liegen. Du gibst Wissen weiter, an Menschen und an KI-Agenten. Du arbeitest eng mit Produkt, UX und Entwicklung zusammen. Fachlich führt dich unser KI-Beauftragter. Du verantwortest eigenständig Teilbereiche. Qualifikation Du hast ein Studium in Informatik, Data Science, Wirtschaftsinformatik, Mathematik, Statistik oder einem verwandten Fach abgeschlossen oder bringst gleichwertige Praxis mit. Eigene Projekte zählen genauso. Du hast erste Erfahrung gesammelt, z. B. in Praktika, im Werkstudium, in deiner Abschlussarbeit oder in eigenen Projekten. Berufsjahre sind keine Voraussetzung. Du bist sicher in Python. Git und nachvollziehbarer Code gehören für dich dazu. Du kennst dich mit Klassifikation, Zeitreihen und Clustering aus. Erste Erfahrung mit LLMs, Embeddings oder Agenten ist ein Plus (z. B. Tool Calling, MCPs). KI-gestützte Entwicklung (z. B. Claude Code, Codex) ist Teil deines Alltags. Du fragst nach, wenn Daten und Anforderungen nicht zusammenpassen, und arbeitest sorgfältig mit vertraulichen Daten. Du reflektierst deine Arbeit und gibst Wissen weiter. Erfahrung als Tutor:in ist ein Plus. Du sprichst Deutsch auf C1- und Englisch auf B2-Niveau. Benefits Arbeitsplatz mit bester Ausstattung in modernem Büro nahe Hauptbahnhof Regelmäßige IT-Konferenzen, Weiterbildungen, Hackathons und Team-Events Kostenlose Getränke / Obst / Gemüse / Snacks im Büro Zuschüsse zu ÖPNV, Mittagessen und EGYM-Wellpass Tegtmeier Internet Solutions GmbH Burchardstr. 14 20095 Hamburg Germany Eingetragen im Handelsregister: Amtsgericht Hamburg HRB 137948 Vertretungsberechtigte Personen: Jan Tegtmeier Find more English Speaking Jobs in Germany on Arbeitnow

About EASE EASE builds active, AI-powered exoskeletons for logistics and manufacturing. As a TUM spin-off, we have just started series production, and paid pilots with well-known logistics companies have led to first purchase orders. Our goal: move every parcel better, manually with an exoskeleton or autonomously with a robot. The role Our exoskeletons are deployed in real warehouses and production plants and capture what video-only datasets miss: body pose, joint kinematics, interaction torques, vision, and hand forces from real human work. Your job is to build pipelines that turn raw exoskeleton recordings into clean, robot-ready training data, including retargeting human motion to the humanoid's body. So in the future human workers and robots can work side by side on the same tasks. What you'll do Define signals, formats and metadata for our next exoskeleton generation Build pipelines from devices in the field to storage, incl. sync, calibration and versioning Build tooling for quality checks, segmentation, annotation and dataset export Implement anonymization, consent handling and GDPR-compliant data flows Set up storage and compute together with our robot learning team What you bring Degree in CS, data engineering, robotics or similar, with hands-on pipeline experience Strong Python and SQL; pipeline tools (e.g. Airflow, Ray or Spark) Time-series or multimodal sensor data, incl. synchronization and calibration Cloud (AWS, GCP or Azure), Docker and Linux Solid understanding of GDPR and personal data Nice to have ROS 2, MCAP or LeRobot; annotation or dataset management tools Kubernetes or SLURM; basic ML training workflows in PyTorch Don't tick every box? Apply anyway. What you have built matters more than a perfect match. What we offer Data almost nobody else has, from a product in series deployment The chance to build our data platform from the ground up Competitive salary plus virtual stock options (VSOP) Flexible hours, hybrid in Munich, mobility benefit Budget for conferences and further training How to apply Send your CV with links to GitHub or projects you are proud of. Martin Fleischer, CEO & Co-Founder EASE is an equal opportunity employer. Applicants need a valid work permit for the EU. Find more English Speaking Jobs in Germany on Arbeitnow

About Stenon GmbH At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data. This provides farmers with essential insights to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs. Stenon has closed an $18 million Series B financing round to scale real-time nitrogen and soil data management and is expanding internationally. Position We seek a versatile and experienced Senior Data Scientist, that drives and expands our existing soil nutrient machine learning as well as new data-driven features that support our customers in making better agronomic decisions for their fields using real-time soil data. What you will do Be responsible for a core pillar of Stenon's products Scale our soil nutrient modelling to support more and more regions across the world Oversee planning, execution and delivery of Data Science projects. Contribute to the Data Science strategy, vision and roadmap, enhancing Stenon's agronomy intelligence layer to support additional features and enable new data sources Work with a variety of data from spectral sensor data via chemical lab analysis results to spatial fertilization maps. What you must have At least 5+ years of hands-on experience in Data Science products Advanced Degree in Engineering or Science Exceptional understanding of statistical and fundamental machine learning concepts Experience writing and maintaining python code , incl. common libraries like scikit, pytorch as well as ML-Ops infrastructure like MLflow, DVC High degree of autonomy Ability to translate complex statistical or machine learning concepts into digestible information for non-technical audiences Experience across the machine learning product lifecycle : defining success metrics, model evaluation and validation, deployment, monitoring and iteration, in collaboration with data engineers A strong sense for data and code quality and the ability to push for high standards High-dimensional sensor/signal data processing expertise Proven track record of managing complex projects from start to finish in a fast paced environment Experience leading or mentoring team members Good communication and English language skills - verbal and written You may have Experience in geo-spatial products Knowledge of agronomy or agriculture, sensor/IoT data, or field trials Understanding of sensor hardware, physical measurement principles and real world noise characteristics ML Ops or Data Engineering knowledge, like Docker, CI/ What we offer Ownership & Growth: A key role in a fast-growing scale-up where you own your area of responsibility with flat hierarchies and fast decision-making. Real-World Impact: Design products that go directly into the hands of farmers, solving global food production and climate challenges. Collaborative Culture: Work in a highly productive, international team that values hands-on development and mutual support. Work-Life Balance: A permanent full-time role offering adaptable schedules to accommodate your lifestyle. Flexible Location: Choose between hybrid or fully remote options across Germany, featuring one mandatory monthly collaboration day in Potsdam for team cohesion and alignment. Remote Setup Support: A dedicated financial allowance to help you optimize your home workspace Learning Budget: Invest in your professional growth with an annual allowance dedicated to courses, conferences, books and certifications Year-End Break: Enjoy a paid company-wide closure between Christmas and New Year to recharge and spend time with loved ones. Seamless Commuting: Choose between an ABC Berlin/Potsdam travel pass or a Deutschland-Ticket to keep you mobile. Team Spirit: Annual company retreats to warmer climates (last year we went to Gran Canaria), regular social events, and a fully stocked kitchen with coffee, tea, and snacks. Why Us? We are changing how farmers understand and manage their soil, moving from lab-based analysis to real-time insights directly in the field. We value transparency, ownership, and continuous improvement, and we believe great products come from teams that respect and support each other. We set high standards, reward performance, and foster a positive, constructive feedback culture. Find Jobs in Germany on Arbeitnow

Wir sind erfolgreicher Partner im technischen Projektmanagement und agieren in den Geschäftsfeldern Energie, Mobilität sowie Anlagen- und Maschinenbau. Projektberatung, Projektunterstützung oder -realisierung – als erfahrener Partner stehen wir unseren Kunden bei der Umsetzung von komplexen Projekten zur Seite. Als Mitarbeiter (m/w/d) der Atlas Titan verstärken Sie uns mit Ihrem Know-how und Ihren Ideen und unterstützen uns dabei spannende Projekte zu einem erfolgreichen Abschluss zu bringen. Genehmigungsplaner GIS und Datenmanagement (m/w/d) Bei der Umsetzung großer Netzausbauvorhaben bildet die strukturierte Aufbereitung und Verwaltung von Geodaten eine wesentliche Grundlage für die Genehmigungsplanung. Digitale GIS-Anwendungen unterstützen die Erstellung genehmigungsrelevanter Unterlagen, die Abstimmung mit beteiligten Fachbereichen sowie die Sicherstellung der baurechtlichen und planerischen Voraussetzungen. hre Aufgaben – Das erwartet Sie bei uns Aufbau und Pflege digitaler GIS-Projektumgebungen auf Basis von ArcGIS Online unter Berücksichtigung projektspezifischer Anforderungen und Standards Integration und Qualitätsprüfung externer Geodaten sowie Sicherstellung einer konsistenten und strukturierten Datenhaltung Koordination interner und externer Dienstleister hinsichtlich Datenqualität, Datenintegrität und anwendungsspezifischer Datenanforderungen Abstimmung mit den Fachbereichen Genehmigungsplanung, Grundstücksrechte, Kreuzungsmanagement, Kommunikation und Bau sowie der zentralen GIS-Fachabteilung Aufbereitung und Visualisierung relevanter Projektdaten zur Bewertung der Baufreiheit sowie Unterstützung bei der Erstellung und Qualitätssicherung von Genehmigungsunterlagen Weiterentwicklung bestehender GIS-Anwendungen und Konzeption neuer digitaler Lösungen zur Optimierung der Projektabläufe Ihr Profil – Das bringen Sie mit Abgeschlossenes Studium der Geoinformatik, Geographie, Umweltwissenschaften, des Umweltingenieurwesens, der Raumplanung oder eine vergleichbare Qualifikation Praktische Erfahrung im Aufbau und in der Strukturierung digitaler GIS-Projektumgebungen, vorzugsweise mit ArcGIS Online Fundiertes Verständnis für die Verarbeitung, Strukturierung und Qualitätssicherung von Geodaten Ausgeprägtes Interesse an digitalen Planungsprozessen sowie eine analytische und fachübergreifende Denkweise Selbstständige, strukturierte und effiziente Arbeitsweise sowie hohe Einsatzbereitschaft und Teamfähigkeit Gute Kommunikations- und Abstimmungsfähigkeit sowie Reisebereitschaft und Führerschein der Klasse B Unsere Benefits Unbefristeter Arbeitsvertrag und 30 Tage Urlaub Professionelle Betreuung durch feste Ansprechpartner Gezielte Weiterbildungsmöglichkeiten zur fachlichen und persönlichen Weiterqualifizierung Umfangreiches Gesundheitsförderungsprogramm (u.a. Firmenfitness und private Krankenzusatzversicherung) Zuschuss vermögenswirksame Leistung und betriebliche Altersvorsorge Regelmäßige Mitarbeiterveranstaltungen zum Austausch von fachlichen Themen und Erfahrungen Individuelle Lösung für moderne Arbeitsausstattung zur Ermöglichung von flexiblem Arbeiten Mit JobRad die Möglichkeit zum Fahrrad-Leasing Sie haben Interesse? Dann senden Sie uns bitte Ihre Bewerbungsunterlagen unter Angabe Ihrer Gehaltsvorstellung und des möglichen Eintrittstermins über unser Schnell-Bewerbungsformular. Alternativ können Sie uns Ihre Unterlagen auch gerne per E-Mail zusenden und für Rückfragen steht Ihnen Carina Specka unter Mobil: 0176 10388079 gerne zur Verfügung. Wir legen Wert auf Chancengleichheit und freuen uns über Bewerbungen von Menschen mit Behinderung und Migrationshintergrund. Find more English Speaking Jobs in Germany on Arbeitnow