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About us We see the semiconductor industry as a realm of possibility. We see opportunity. We see the profound impact that our graphene solutions will have in transforming the industry. We invite you to join us in driving change with our fundamentally human-centered approach, uniting bright minds around a shared vision. The vision is: Prove to everybody that you can make a fundamental change. Prove with your knowledge and skills how things can be done differently. Together, we can change the paradigm of how the world connects About our technology The semiconductor industry's growing demand for more powerful chips with higher bandwidth and lower power finds its solution in our technology. We connect chips to high-throughput, low-delay computing networks. The key lies in harnessing the physical properties of graphene to combine electronic computing with photonic communication, allowing countless chips to interact almost as if they were one. Our graphene photonic innovation increases computing power and efficiency to a new order of magnitude In short, we connect chips to create powerful and energy-efficient networks, overcoming connectivity limitations in the semiconductor industry. We deliver the graphene solution The Role As a Senior Automated Test Equipment (ATE) Test Engineer, you will own the bring-up and operation of our high-volume 300 mm wafer test infrastructure for electronic-photonic integrated circuits. On a daily basis, you will set up and qualify ATE test cells, develop and debug test programs for DC, RF, and electro-optical device characterization, and drive probe card design with vendors. You will analyze wafer-level data to make pass/fail calls and share insights with design and process teams, helping us scale from engineering characterization to high-volume production. To join our team, you should be excited to: Set up, qualify, and calibrate ATE test cells, ensuring readiness for high-volume wafer testing. Develop and debug automated test programs for DC, RF, optical, and electro-optical device characterization, including new measurement methods. Own probe card specifications, design, qualification, and integration, alongside associated interface hardware, in collaboration with vendors. Collaborate across teams to define comprehensive measurement plans and contribute to design-for-test (DFT) implementation. Collect, analyze, and report wafer-level measurement data to determine pass/fail outcomes and support yield monitoring, reliability testing, and failure analysis. Transfer laboratory characterization methods into production, developing automated test protocols and equipment specifications for manufacturing integration. Optimize test throughput while maintaining measurement accuracy and reliability. Work with manufacturing engineering to implement statistical process control (SPC), improve yield, and strengthen test efficiency and data analytics. Support supplier qualification, vendor evaluation, and incoming material characterization. Create test documentation and training materials, ensuring procedures meet industry standards and customer quality requirements. Your Qualifications Master's degree or Ph.D. in Engineering, Physics, or a related technical discipline. At least five years of hands-on experience setting up and operating ATE systems, including wafer probers and probe card specification, qualification, and integration. Strong programming skills in Java and Python for test automation, instrument control, and automated data collection. Hands-on experience performing electrical, optical, and electro-optical measurements on EIC and PIC devices; RF or high-speed testing experience is a plus. A sound understanding of PIC and/or EIC device structures and operation, including EIC-to-PIC interface architectures. Practical knowledge of design-for-test (DFT) methodologies and their implementation in integrated circuits. A proven track record of transferring laboratory test methods and device characterization into production environments. Proficiency in data processing, statistical analysis, and visualization using Python, Java, or LabVIEW, with experience applying statistical process control (SPC) and monitoring yield, process performance, and reliability. Knowledge of supplier management, incoming material characterization, and vendor qualification processes. Experience in a fast-paced startup or semiconductor manufacturing environment is preferred. Advanced knowledge of optoelectronic device physics, graphene-based devices, and semiconductor operating principles is an advantage. Familiarity with photonic component qualification methodologies and industry reliability testing standards is a plus. Experience characterizing and testing optoelectronic or semiconductor packaging is an advantage. Our work culture People Over Processes. At Black Semiconductor, flexibility is key—we ensure work adapts to life, not the other way around. We champion work-life harmony, where careers are meaningful and enriching. Our processes are human-centric, allowing you to focus on what matters Let's grow together. Your potential is our priority. We provide the autonomy to make a lasting impact and nurture your growth through a culture of continuous learning. We invest in your journey for professional and personal development Your Health and Future Matter. Your well-being is paramount. We offer a comprehensive benefits package with outstanding insurance, pension and virtual stock options for your mental, physical, and financial health. Your peace of mind is our priority - in the present and future We Live Openness. Collaboration and inclusivity are the cornerstones of our culture. We practice openness, fostering trust and respect. Individuality is our collective strength, fueling innovation and driving us forward We connect chips – and people. We encourage qualified individuals from any background to apply. We foster an inclusive and supportive work environment that values collaboration, innovation, and growth. Join our team and be part of an organization dedicated to making a difference in the industry Can you picture yourself in this Role and our Company? Let's connect! If your application results in an employment relationship, your Applicant Data will be transferred to our personnel records and processed in accordance with applicable legal requirements; otherwise, your Applicant Data will be retained for up to six (6) months after completion of the recruitment process. Read more about our privacy policy here. 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KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. Every machine learning model KAYAK ships depends on reliable, scalable infrastructure to move from experiment to production — and that's exactly what this role makes possible. KAYAK is seeking a Senior MLOps Engineer who will focus on the design and implementation of our machine learning infrastructure and production lifecycle. This is a senior, hands-on role where you will bridge the gap between data science and production engineering. You will join the Machine Learning Platform team and be responsible for building and maintaining scalable infrastructure & automated pipelines for model training, deployment, and monitoring, ensuring our ML models are reliable, reproducible, and performant. You will work closely with Data Scientists, ML Engineering and Operations teams to transform experimental code into robust, production-ready services at scale. This role requires commuting to the Berlin office 3 times a week. In this role, you will: Build and maintain ML infrastructure end-to-end: Extend and operate the infrastructure that powers every model we ship — including CI/CD pipelines, model orchestration, and automated training pipelines designed to scale reliably without manual intervention. Own model deployment and serving: Help define and evolve the standards and tooling for model serving, ensuring low latency and high availability across our ML services. Develop core MLOps capabilities: Establish and maintain essential infrastructure that functions as reliable, self-service systems for the entire machine learning organization — with a focus on feature stores, model registries, and automated monitoring for performance and data drift. Operationalize infrastructure for the ML team: Collaborate with Operations to enable Kubernetes (k8s) autoscaling and GPU provisioning, turning these into accessible, self-service tools for ML practitioners — including standing up and operating a Kubernetes-based development cluster and taking models from experimentation to GPU-backed production. Improve platform reliability and performance: Partner with Operations to design resilient monitoring using advanced observability tooling. Define service-level objectives and implement automation to reduce manual interventions and improve system reliability. Empower Data Scientists through standardized, optimized workflows: Amplify the impact of the ML team by building clear, well-supported "golden paths" — standardized workflows that streamline the model development lifecycle and let Data Scientists focus on modeling while you handle the infrastructure. Please apply if you have: Experience building and operating ML platforms in production environments. Solid working knowledge of containerization and orchestration (Docker, Kubernetes), Linux internals, and model serving at scale. Familiarity with ML lifecycle tooling, including orchestration frameworks, feature stores, model registries, and drift or performance monitoring. Experience owning production systems: defining service-level objectives (SLOs), building observability (for example, using tools such as Prometheus, Grafana, or Datadog), participating in incident response, and diagnosing large-scale failures systematically. You look for opportunities to automate repetitive work rather than absorb it. Comfort writing production-quality code in Python or a comparable language. Experience modernizing production infrastructure with attention to reliability, risk, and cost — including thoughtful sequencing of work to maintain availability and continuity for live systems. The ability to take ownership of technical outcomes, advocate for decisions using data, and communicate clearly in writing and in person — to both technical and non-technical audiences. Benefits and Perks Work from (almost) anywhere for up to 20 days per year Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year – the whole team fully recharges (and returns without a pile-up of work!) No meeting Fridays Paid parental leave Paid volunteer time Focus on your career growth: Development Dollars Leadership development Access to thousands of on-demand e-learnings Travel Discounts Employee Resource Groups 6 weeks paid vacation + a day off for your birthday Free lunch 2 days per week Pension plan contributions Public transportation subsidies Bike leasing program Monthly social events, Thursday happy hours, sports teams An awesome office in Friedrichshain, Berlin Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem – just give us a heads-up. We've got you. #LI-AS1 Find Jobs in Germany on Arbeitnow

Du willst KI nicht nur demonstrieren, sondern dort einsetzen, wo sie wirklich etwas verändert? Dann entwickle mit uns KI-Lösungen für den Mittelstand. Als Einsatzentwickler konzentrierst du dich voll auf die Entwicklung von KI-Systemen und deren direkte Umsetzung beim Kunden. Du verstehst Prozesse, integrierst Sprachmodelle und baust intelligente Anwendungen, die im Arbeitsalltag funktionieren. Über uns Agentur Philipp ist auf die praktische Umsetzung von Künstlicher Intelligenz spezialisiert. Mit einem Team aus über 20 Menschen begleiten wir Unternehmen im KI-Marathon® durch Beratung, Entwicklung und Optimierung. Wir entwickeln KI-Kollegen, automatisieren Prozesse und verbinden bestehende Systeme. Unser Ziel: keine isolierten Prototypen, sondern Lösungen, die Mitarbeiter spürbar entlasten. Deine Aufgaben Du analysierst Geschäftsprozesse gemeinsam mit unseren Kunden und übersetzt Anforderungen in konkrete KI-Architekturen. Du entwickelst KI-Agenten, LLM-Integrationen, Automatisierungen und intelligente Anwendungen. Du integrierst Sprachmodelle und KI-Funktionen über APIs in bestehende ERP-, CRM- und weitere Unternehmenssysteme. Du arbeitest bei gezielten Einsätzen direkt beim Kunden vor Ort und setzt KI-Lösungen gemeinsam mit den Fachabteilungen um. Du begleitest deine KI-Modelle und -Anwendungen vom ersten Prototyp bis zum produktiven Einsatz, inklusive Tests, Dokumentation und Optimierung. Du arbeitest eng mit unserer Beratung und Projektleitung zusammen und machst aus Projekterfahrungen wiederverwendbare KI-Komponenten. Das bringst du mit Praktische Erfahrung in der KI-Entwicklung und im Softwarebau, beispielsweise mit Python oder TypeScript. Erfahrung mit APIs, Vektordatenbanken, Prompt Engineering und der Anbindung von Sprachmodellen. Fundierte umgesetzte Projekte mit Sprachmodellen, KI-Agenten oder intelligenter Prozessautomatisierung. Die Fähigkeit, dich schnell in unbekannte Prozesse einzuarbeiten und pragmatische KI-Lösungen zu entwickeln. Du kannst technische KI-Zusammenhänge verständlich erklären und arbeitest gerne direkt mit Kunden. Eigenverantwortung, Qualitätsbewusstsein und Bereitschaft zu projektbezogenen Reisen. Sehr gute Deutschkenntnisse für die Zusammenarbeit mit Kunden und gute Englischkenntnisse für technische Dokumentation. Entscheidend ist, was du bauen und umsetzen kannst. Ob Studium, Ausbildung oder Quereinstieg: Zeig uns deine KI-Projekte und wie du Probleme löst. Was dich bei uns erwartet KI-Projekte mit echtem Praxisbezug und sichtbaren Ergebnissen. Eine Rolle mit starkem Fokus auf echte KI-Entwicklung und direkte Kundenarbeit. Eigenverantwortung und Raum, intelligente Systeme aktiv mitzugestalten. Zusammenarbeit mit einem interdisziplinären Team aus Beratung, Entwicklung und Projektleitung. Unterschiedliche Branchen, Systeme und KI-Herausforderungen statt immer derselben Standardaufgabe. Klingt nach dir? Dann schick uns deinen Lebenslauf oder dein Profil und ein bis zwei KI-Projekte, auf die du stolz bist. Beschreibe kurz, welches Problem du mit Künstlicher Intelligenz gelöst hast und welchen Anteil du an der Umsetzung hattest. Find more English Speaking Jobs in Germany on Arbeitnow

Solutions Engineers (SEs) at TransPerfect are passionate about product development, client requests for enhancements and the resolution of production issues. We expect our SEs to be AI-literate and to actively use AI tools in their day-to-day workflow to work faster, smarter, and with higher quality. DESCRIPTION • Work with Client Service Representative and Solutions Engineer to resolve Trial Interactive Operations Escalations • Assist with data migration with pre-defined utilities and processes • Assist with PDC and IQ test scripts preparation and the execution • Build and Execute QA scripts for migration and other special projects • Write technical documentation about special projects and the new processes • Execute database scripts for enhancements to the reporting system • Assist Solutions Engineers in production server maintenance and new version deployments for applications • Assist Solutions Engineers in building large scale, high availability systems for Enterprise Life Sciences Clients • Create custom eLearning videos internally and for clients – on the eTMF and SSU modules • Use AI tools (e.g., Claude, ChatGPT, GitHub Copilot, Cursor) in day-to-day work to accelerate scripting, troubleshooting, QA, data analysis, and documentation • Use AI-assisted development to build rapid prototypes and proof-of-concepts for client enhancement requests and internal process improvements • Critically review and validate all AI-generated output (code, scripts, test cases, documentation) for accuracy, security, and compliance before use • Complete all other tasks that are deemed appropriate for this role and assigned by the manager/supervisor • General knowledge of web application development, SOA, and how web services work • General knowledge of and course-work experience in the field • Detail oriented with strong problem-solving skills • Superior written and spoken communication skills in English • Proficiency in Microsoft Office (Word, Excel, Outlook), shell scripts • Experience with Adobe applications, including Acrobat Professional, Reader, and Distiller • Proficient with Windows Operating systems XP and higher • Working knowledge of AI and generative AI concepts, including large language models (LLMs), prompt engineering, and the capabilities and limitations of AI tools • Hands-on experience using AI tools (e.g., Claude, ChatGPT, GitHub Copilot, Cursor) to improve personal productivity and quality of work • Awareness of responsible AI use, including data privacy, confidentiality, and validation of AI output in a regulated (GxP) environment • Strong work ethic • Minimum Bachelor's Degree from a 4-year college or equivalent DESIRED SKILLS AND EXPERIENCE • Willingness to learn eClinical solutions • General understanding of HTTP, REST, JSON, IIS 6, Web Services, and Web application development • General understanding of MSSQL, TSQL, XML, and C# • Scripting experience in shell scripts and Python • Experience building prototypes or proof-of-concept applications using AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) • Familiarity with integrating AI/LLM APIs (e.g., Anthropic, OpenAI, AWS Bedrock) into applications, automations, or workflows • Curiosity and drive to keep up with emerging AI tools and share best practices with the team • Able to multitask in a fast-paced environment • Work well with people from a variety of different backgrounds and cultures • Build relationships with clients and co-workers • Can work independently and as part of a team • Take active measures to solve problems and commit to a high level of service Find Jobs in United Kingdom on Arbeitnow

At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers. As a AI Engineer (m/f/d), you will take technical responsibility for customer-facing AI solutions — from early design decisions to production deployment and operation. You will design, build, and operate AI applications ranging from LLM-powered workflows (e.g., intelligent document processing, RAG systems) to agentic AI systems that are actively used in customer environments. German language skills at C1 level and above are mandatory for this role. You'll work closely with customers and internal engineers to translate ambiguous requirements into reliable, scalable systems and guide AI-driven product development within customer projects. This role is hybrid , with predominantly remote work and occasional on-site presence at customer locations across Germany and our office in Würzburg, Bavaria. Your profile Several years (3–6) of hands-on experience building and operating AI/ML systems in real-world projects . Solid experience implementing agents on the LangChain stack ( LangGraph , DeepAgents ) in Python , including FastAPI interfaces. Experience with AWS (e.g. ECS , CDK , …) Strong Python expertise ( app. 5 years) and experience with modern AI/LLM tooling; framework-agnostic mindset. Proven experience with LLM-based systems (e.g., RAG, embeddings, tool usage) and an understanding of trade-offs between quality, cost, latency, and complexity. Ability to work independently in customer-facing environments , taking ownership of technical decisions under uncertainty. Professional communication skills in customer contexts. Residence in Germany . Bonus points to score Deeper experience with agentic architectures (planning, memory, multi-agent coordination). Contributions to open-source projects, technical writing, or applied research. Your daily business Design and ship end-to-end AI systems, from prototype to production. Build LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency. Develop and operate agentic AI systems (e.g., planning, tool orchestration, multi-step workflows) with clearly defined safety and integrations into customers' systems. Define evaluation strategies (offline + online), including metrics, benchmarks, and monitoring. Optimize system performance across latency, cost, and quality. Take technical leadership within customer project teams , coordinating architecture, implementation, and iteration cycles. Act as a technical point of contact for customers , explaining trade-offs and guiding solution decisions. Work directly with customers and internal teams to turn ambiguous, real-world problems into concrete AI solutions. Contribute to architectural decisions and support less-experienced engineers through technical guidance (no people management). Some of your benefits at 5Plus Real ownership: Build and own AI solutions that go live quickly! Small, experienced team with fast decision-making . Flexible working hours and freedom to choose your workplace . Learning budget and support for conferences and publications . Pentadoc Group offers additional benefits, feel free to check out everything. To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us. We look forward to meeting you! Find Jobs in Germany on Arbeitnow

Als IT-Dienstleister treiben wir die Digitalisierung des öffentlichen Sektors voran und schaffen echten Mehrwert für Millionen Menschen in Deutschland. Wir können vieles richtig gut, aber eben noch nicht alles. Darum suchen wir immer wieder neue Kolleg:innen, die mit ihren Ideen, ihrem Können und Engagement etwas bewegen wollen. Fühlst du dich angesprochen? Dann gestalte Deine Welt zum Besseren und werde Teil unseres Customer Cluster Environment, Transportation & Energy. DEINE MISSION Als AI Solution Architect (m/w/d) gestaltest Du die KI-/ML-Gesamtarchitektur für komplexe Enterprise-Umgebungen in der Cloud mit Schwerpunkt Microsoft Azure. Du verbindest fundiertes Know-how in ML Engineering, RAG-Architekturen und MLOps, um KI-Lösungen produktionsreif, skalierbar und sicher umzusetzen. Dabei arbeitest Du eng mit technischen Expert:innen, Fachbereichen und Entscheidungsträgern zusammen und trägst maßgeblich dazu bei, innovative KI-Lösungen erfolgreich zu etablieren. Deine Aufgaben: Entwurf und Weiterentwicklung der KI-/ML-Gesamtarchitektur als Enterprise-KI-Plattform mit Schwerpunkt Microsoft Azure Technische Leitung von ML-Pipeline-Projekten, insbesondere in den Bereichen Training, Deployment, Monitoring und Drift Detection Konzeption und Optimierung von RAG-Architekturen, beispielsweise hinsichtlich Chunking, Retrieval, Guardrails und Context Orchestration Definition und Weiterentwicklung von MLOps-Strategien einschließlich CI/CD für Modelle, Experiment-Tracking und Model Registry Technische Führung und Koordination interdisziplinärer Teams aus ML/AI Engineers, LLM Engineers und MLOps Engineers Beratung interner und externer Stakeholder zu KI-Architekturen sowie Präsentation technischer Konzepte gegenüber IT-Leitung und Fachbereichen DAS IST UNS WICHTIG Fundierte Erfahrung mit cloudbasierten KI-/ML-Lösungen, idealerweise auf Microsoft Azure, insbesondere Azure Machine Learning und Azure OpenAI Service. Kenntnisse weiterer Cloud- und AI-Services sind von Vorteil. Praktische Erfahrung mit MLOps-Konzepten und entsprechenden Werkzeugen wie MLflow, Kubeflow oder Azure ML Pipelines. Erfahrung im Aufbau von RAG-Architekturen, Prompt Engineering und im Umgang mit Vektordatenbanken. Kenntnisse in der Integration und Orchestrierung von Sprachmodellen, idealerweise mit Frameworks wie LangChain oder LlamaIndex. Erfahrung mit CI/CD für ML-Anwendungen sowie sehr gute Python-Kenntnisse. Praktische Erfahrung mit mindestens zwei gängigen Machine-Learning-Frameworks, beispielsweise scikit-learn, PyTorch oder TensorFlow. Erfahrung im Aufbau von Enterprise-Architekturen in Cloud-Umgebungen. Kenntnisse in angrenzenden Bereichen wie Datenplattformen, Containerisierung, Container-Orchestrierung, Infrastructure as Code und Observability sind von Vorteil, beispielsweise mit Databricks, Azure Data Factory, Azure Data Lake, Docker, Kubernetes, Terraform, Prometheus, Grafana oder Application Insights. Grundlegendes Verständnis von AI Governance, Responsible AI sowie Sicherheits- und Datenschutzanforderungen im Enterprise-Umfeld. Mehrjährige Erfahrung mit ML-/AI-Architekturen oder vergleichbaren technischen Aufgaben in Enterprise-Umgebungen. Erfahrung in einer technischen Leitungs- oder Architekturrolle ist wünschenswert. Azure-, AWS- oder Google-Cloud-Zertifizierungen sind ein Plus. Idealerweise Erfahrung in der Energiebranche oder Versorgungswirtschaft sowie mit datengetriebenen Anwendungsfällen. Sehr gute Deutschkenntnisse (C2-Niveau) sowie gute Englischkenntnisse. DEIN NEUER ARBEITSPLATZ Was bei uns zählt? Klar definierte Rollen, echtes Miteinander und ein gemeinsames Ziel. Wir nennen das Responsiveness – transparent, wertschätzend und zielorientiert. Hier bist du am Wandel direkt beteiligt, wenn du möchtest. – Nimm Teil an Projekten, die uns als Unternehmen weiterentwickeln. Flexible Arbeitszeiten und Remote Work? – Sind selbstverständlich. Individuelles Hardware-Budget? – Stell dir deinen Arbeitsplatz so zusammen, wie du dich am wohlsten fühlst. Mental Health? – Dein mentales Wohlbefinden ist uns wichtig. Mit OpenUp unterstützen wir dich und bieten dir jederzeit kostenlosen Zugang zu professioneller psychologischer Unterstützung. Individuelles Weiterbildungsbudget? – Egal ob die nächste Zertifizierung oder ein lang ersehnter Sprachkurs – du entscheidest, worin und wann du dich weiterbildest. Mitarbeiter:innen-PC-Programm? – Lease dir dein nächstes Device zur rein privaten Nutzung einfach über virtual7. JobRad oder Firmenwagen? – Wir helfen dir dabei, so mobil zu sein, wie du es brauchst. Erzähl mir, wer du bist und wann du anfangen kannst. Gerne auch über Laura Korth Senior HR Recruiterin +49 170 3600221 Find more English Speaking Jobs in Germany on Arbeitnow

We're digitizing the construction industry – are you in? At VESTIGAS, you build the digital backbone of the construction supply chain. We turn purchase orders, delivery notes, and invoices into a digital, legally compliant platform used in everyday operations by construction companies and suppliers. You'll work on a product with real market traction in the DACH mid-market, ship iteratively, and take ownership of solutions that must work in the field – not just in theory. Your Role As Chapter Lead AI Engineering, you'll own the AI infrastructure and capabilities that power our supply chain platform end to end – from pipeline design to production deployment. You bring experience in technical leadership and take responsibility for the AI engineering chapter across Scrum teams, shaping architecture, aligning technical standards, and enabling engineers to build dependable AI systems. This is a hands-on technical leadership role. The Technical Challenge Your chapter will tackle problems like extracting structured data reliably from many different documents, building uncertainty estimation so the system knows when to flag a document for human review instead of silently guessing, and automatically reconciling purchase orders, delivery notes, and invoices against each other – all within legal and compliance requirements that leave no room for "close enough". This is a domain where clean benchmark metrics mean far less than robustness against real documents nobody has seen before – and you'll set the technical direction for how the chapter navigates that trade-off, deciding where to push automation further and where human review still matters. Agentic AI systems that plan, use tools, and act on their own are an increasingly important part of this work as well. Your Mission Provide technical leadership for the AI engineering chapter, own its technical direction and strengthen shared engineering practices across Scrum teams Own MLOps processes and infrastructure, ensuring our AI systems are reliable, scalable, and secure Drive the design and implementation of advanced AI features, partner closely with engineering and product leadership to deploy machine learning models and data pipelines Set the bar for accuracy, efficiency, and uncertainty estimation of our AI features through rigorous testing practices Ensure the scalability, maintainability, and core functionality of our AI solutions – and drive the build of new ones from scratch Translate customer needs into technical priorities and represent AI engineering in strategic product and sales discussions Establish and evolve engineering standards, tooling, and quality practices across the chapter Mentor fellow AI engineers through technical feedback, pairing, and knowledge sharing Champion the use of modern AI tools such as Claude or Cursor across the chapter Your Profile Bachelor's or Master's degree in Engineering, Computer Science, or a related field; alternatively, an equivalent education You have at least five years of AI engineering experience, including one year of technical leadership, with practical responsibility spanning the AI lifecycle and MLOps Demonstrated ownership of technical decisions, with the ability to align engineers across teams and mentor peers Hands-on expertise in natural language processing and image processing Strong Python skills and experience with Azure; Terraform experience is a plus A passion for generative AI, OCR, and building customer-focused solutions A habit of writing clean, well-tested code with an eye on what happens after deployment Solid understanding of AI agents, tools, and their limitations Fluent English and German (C1 or above) Willingness to work from our Munich office at least two days a week Your Benefits Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market. Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions. AI-First workflow. Copilot, Claude, Cursor & co. are standard tools for us. We expect and support their use. Hybrid work with an office in the heart of Munich, just around the corner from Theresienwiese. Flexible setup with regular office presence – because we believe the best ideas happen in person. EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites. Fair, competitive compensation. Find more English Speaking Jobs in Germany on Arbeitnow

We're digitizing the construction industry – are you in? At VESTIGAS, you build the digital backbone of the construction supply chain. We turn purchase orders, delivery notes, and invoices into a digital, legally compliant platform used in everyday operations by construction companies and suppliers. You'll work on a product with real market traction in the DACH mid-market, ship iteratively, and take ownership of solutions that must work in the field – not just in theory. Your Role You'll help build the AI infrastructure and capabilities that power our supply chain platform, working across the full lifecycle – from pipeline design to production deployment. With 5+ years of experience under your belt, you're ready for the next step in your career. Maybe you've already mentored or technically guided colleagues, and you're looking to grow steadily into a Team Lead role as you take on more ownership and, over time, people responsibility. The Technical Challenge You'll work on problems like extracting structured data reliably from many different documents, building uncertainty estimation so the system knows when to flag a document for human review instead of silently guessing, and automatically reconciling purchase orders, delivery notes, and invoices against each other – all within legal and compliance requirements that leave no room for "close enough". This is a domain where clean benchmark metrics mean far less than robustness against real documents you've never seen before, and where every accuracy gain has a direct, visible impact on our customers' daily operations. Your Mission Lead MLOps processes and maintain infrastructure to keep our AI systems reliable, scalable, and secure Design and implement advanced AI features, working closely with engineering and product teams to deploy machine learning models and data pipelines Improve the accuracy, efficiency, and uncertainty estimation of existing AI features through rigorous testing Contribute to the scalability, maintainability, and core functionality of our AI solutions – and help build new ones from scratch Align your technical work with customer needs and support product and sales discussions Help establish engineering standards, tooling, and quality practices Mentor and technically guide colleagues as you build the track record to grow into a leadership role Use modern AI tools such as Claude or Cursor as part of your daily workflow Your Profile Bachelor's or Master's degree in Engineering, Computer Science, or a related field; alternatively, an equivalent education 5+ years of experience in AI engineering, including end-to-end lifecycle management and MLOps Hands-on expertise in natural language processing and image processing Strong Python skills and experience with Azure; Terraform experience is a plus A passion for generative AI, OCR, and building customer-focused solutions A habit of writing clean, well-tested code with an eye on what happens after deployment Solid understanding of AI agents, tools, and their limitations Ideally, some experience mentoring or technically guiding others – and the ambition to grow into a Chapter Lead role Fluent English and German (C1 or above) Willingness to work from our Munich office at least two days a week Your Benefits Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market. Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions. AI-First workflow. Copilot, Claude, Cursor & co. are standard tools for us. We expect and support their use. Hybrid work with an office in the heart of Munich, just around the corner from Theresienwiese. Flexible setup with regular office presence – because we believe the best ideas happen in person. EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites. Fair, competitive compensation. Find Jobs in Germany on Arbeitnow

This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world. Staff Machine Learning Engineer London, King's Cross Top-of-market compensation The Role You'll take ownership of designing, building, and shipping production-grade systems that power ranking, personalisation, and reward structures in real time. You work hands-on with a small, high-ownership team. You have real influence over how we build our infrastructure as we grow it together. You spot leverage points others miss: systems that shift behaviour, ranking that balances user value and business sustainability, measurement frameworks that prove what actually works. You own these end to end. What You'll Own Ranking and personalisation systems that reach the right users in real time Reward and payout infrastructure balancing user motivation, cost, and business value Behavioural prediction through time-series and sequence systems Measurement and validation using A/B testing, causal inference, uplift modelling ML infrastructure: pipelines, training loops, serving, monitoring Technical leadership and mentorship on shipping discipline and impact What We're Looking For Shipped production systems end to end, from formulation through impact measurement Full-stack capability: data pipeline to live serving to monitoring and decay Causal thinking: propensity scoring, instrumental variables, contextual bandits, uplift modelling Scale experience: built systems handling high-volume behavioural datasets and real-time inference Published work or equivalent research discipline Builder's mindset: energised by shipping. Zero-to-one experience valued Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure Why This Matters Real behavioural sequences. Billions of user decisions across multiple games. Your systems handle cold start, sparse reward, imbalanced value distributions. Both measurement rigour and systems thinking matter here. Why Almedia Profitable from launch. Higher revenue per employee than Big Tech. Small team by design. Every hire raises the bar. Top-of-market compensation including substantial equity. Real behavioural data at scale. Billions of user interactions, millions of daily active users. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply. Find Jobs in United Kingdom on Arbeitnow

About the Team Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a member of the Personalization team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time services in close collaboration with great engineers both within the team and across other teams such as the Ranking team. The general goal of the Personalization team is providing best-in-class personalization for all e-commerce experiences provided by Constructor. The job can consist of, but is not limited to: Improve personalized experience across different products, domain verticals and platforms Improve business KPIs by validating hypotheses around personalization Research different personalization approaches to provide the best outcome to the business Model user interactions to provide the best experience to shoppers Collaborate with technical and non-technical business partners to develop and update personalization capabilities Communicate with stakeholders within and outside the team We love working together to help each other succeed, and are committed to maintaining an open, cooperative culture as we grow. We get to the right answer with empathy, ownership and passion for making an impact. Requirements Hard skills 3+ years of professional experience in applied machine learning Proficiency with Python, SQL and the big data stack for end-to-end ML product development Experience building, shipping, and maintaining personalization / recommender / ranking systems in production Experience with any of the major public cloud platforms will be a plus Experience with design and analysis of A/B tests Great skills delivering & communicating business value to stakeholders Soft skills Excellent English communication skills Experience collaborating in cross-functional teams Ability to deep dive into problems and provide actionable outcomes Ability to work autonomously and independently Proactivity Benefits 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. 🎉 Regular team offsite events to connect and collaborate. 🌎 Fully remote team - choose where you live. 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. 💻 Apple laptops provided for new employees. 🧑‍🎓 Training and development budget for every employee, refreshed each year. 👪 Maternity & Paternity leave for qualified employees. 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice . After that period your data will be deleted or anonymized. Find Jobs in United Kingdom on Arbeitnow

Cooke is a global seafood company with operations in North America, Europe, South America and Australia. Our company's success is driven by our dynamic, highly skilled, and innovative management team, supported by dedicated employees who live in coastal communities and contribute to the local area's economy and sense of community. Cooke is continuing to mature its digital strategy through modern data platforms, integrated data pipelines, and enterprise data standards that support operations, processing, distribution, and corporate functions. As a Senior Data Engineer, you will design scalable data pipelines, integrations, APIs, and models that support enterprise analytics, operational reporting, and data platform maturity while mentoring others and helping align solutions to Cooke's data architecture, security, governance, and quality standards. The Role As a Senior Data Engineer, you will design, build, and optimize reliable data pipelines, integrations, APIs, and data models across Cooke's modern data ecosystem. You will work with limited direction to translate complex business and technical requirements into secure, scalable, well-documented solutions, while partnering with architects, analysts, engineers, application teams, and data stakeholders to improve data quality, performance, automation, lineage, and reuse across domains. Key Responsibilities Design scalable APIs, data pipelines, integrations, and transformations aligned to Cooke's data architecture, security, and enterprise standards.Develop optimized logical and physical data models that support analytics, reporting, integration, and reuse across business domains.Design automated cleansing, validation, profiling, orchestration, and data quality monitoring processes within data workflows.Analyze trends, data quality metrics, performance issues, and pipeline reliability to recommend and implement sustainable improvements.Collaborate with architects, data owners, analysts, application teams, and engineers to integrate multiple tools and systems for end-to-end data movement.Maintain high-quality technical documentation, metadata, lineage, technical specifications, and reusable patterns to support ongoing operations and knowledge sharing. What Success Looks Like Scalable and reusable data pipelines, APIs, and integrations are designed and delivered with strong reliability, security, and performance.Data models, data flows, and lineage are well understood, documented, and aligned to enterprise data architecture standards.Automated cleansing, profiling, orchestration, and quality monitoring improve data trust, issue resolution, and operational efficiency. Complex data quality, performance, and integration challenges are analyzed, resolved, and translated into sustainable improvements. Cross-functional stakeholders have confidence in the accuracy, usability, documentation, and supportability of delivered data solutions. Core Skills & Competencies Proficient in designing scalable data pipelines, APIs, integrations, orchestration workflows, and automated transformations using tools such as Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, SQL, Python, and related technologies.Strong ability to design logical and physical data models, map dataflowsand lineage, and align solutions to enterprise data architecture and integration standards.Advanced working knowledge of data cleansing, profiling, validation, metadata management, data quality monitoring, data security, governance workflows, and secure data transfer patterns.Ability to diagnose complex data quality, performance, and reliability issues and implement sustainable technical improvements across data platforms and integrations.Strong collaboration, documentation, mentoring, and communication skills to guide stakeholders, support junior team members, and promote reusable data engineering patterns. Behaviors That Drive Success Adaptability: Adapts quickly to new processes, systems, or business needs andremainspr

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack. As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe. Your work will unlock the value of data, empowering our customers to make informed decisions through real-time insights, monitoring, and comprehensive analytical reports. Your role at Aircall Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product Analyze and translate business needs into data model & optimize for big data Identify slow queries and optimize for better performance Write clean scalable code using Scala / python / SQL and test and deploy applications and systems Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources. Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients Involvement in product and platform performance optimization and live site monitoring Mentor team members through giving and receiving actionable feedback. Our tech. stack: AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow. A continuous deployment process based on GitLab A little more about you: A Bachelor's degree in a technical field (eg. computer science or mathematics). 3+ years experience with near real-time analytics 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript Experience of designing complex data processing pipeline Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift Experience of query optimisation Experience of kafka is a plus Shipping and maintaining code in production You like sharing your ideas, and you're open-minded Why join us? 🚀 Key moment to join Aircall in term of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💶 Competitive salary package & benefits (health coverage, lunch, commute, sports) DE&I Statement: At Aircall, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our Aircall journey. We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other . We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open because we realize that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Find Jobs in France on Arbeitnow