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*Stringam Law is recruiting for a Wills and Estates Legal Assistant | Lethbridge, Alberta * Stringam Law is a full-service regional law firm serving clients across Western Canada with practical, responsive, and client-focused legal services. Our team is committed to delivering clear guidance and thoughtful solutions for individuals, families, businesses, and communities navigating important and often complex legal matters. With offices located in Lethbridge, Grande Prairie, Medicine Hat, Bonnyville, Swift Current, Canmore, Banff, Calgary, Fort McMurray, Moose Jaw, Cranbrook, Kimberley, and Invermere, our team has experience handling a variety of cases in all areas of law, from litigation, family and divorce to business, real estate, agriculture, and personal injury. We are looking for talented, motivated people who take pride in their work and want to build a meaningful career in law. If you are organized, detail-oriented, and enjoy supporting clients through important life and estate planning matters, we invite you to consider joining Stringam Law. *The Opportunity: * Stringam Law is seeking a polished and dependable Wills and Estates Legal Assistant to join our Lethbridge office. No prior legal assistant experience is required, and on-the-job training will be provided. This role is an excellent opportunity for someone beginning a career in law who values precision, professionalism, and client service and is interested in supporting a busy solicitor practice focused on estate planning and estate administration. *Key Responsibilities: * * Prepare, draft, revise, and format wills, enduring powers of attorney, personal directives, estate planning documents, correspondence, reporting letters, and related materials with a high degree of accuracy. * Support estate administration files, including preparing probate and administration documents, gathering required information, coordinating filing requirements, and assisting with file progression. * Open, organize, maintain, and close physical and electronic client files while ensuring deadlines, limitation dates, and follow-up tasks are diarized and completed. * Communicate professionally and compassionately with clients, executors, beneficiaries, financial institutions, accountants, government offices, and other third parties. * Coordinate client meetings, manage calendars, schedule signing appointments, and assist with meeting preparation and post-meeting follow-up. * Prepare accounts, assist with billing, time entry, cheque requisitions, trust-related administration, and other file accounting tasks as required. * Conduct conflict checks, support client intake, and contribute to an efficient, organized, and positive file workflow from initial inquiry through completion. * Provide proactive administrative support to the wills and estates team and contribute to the smooth day-to-day operation of the Lethbridge office. *Qualifications: * * This is an entry-level position, and no previous legal assistant, wills and estates, or law office experience is required. Applicants who are eager to learn and build a career in the legal field are encouraged to apply. * A Legal Administrative Assistant diploma or certificate from a recognized post-secondary institution is considered an asset but is not required. * A professional, client-focused approach with the ability to communicate effectively and respectfully with lawyers, colleagues, clients, and external service providers. * Strong initiative and the ability to learn new concepts, terminology, procedures, and practice-management systems quickly. * Excellent organizational and time management skills, with the ability to manage competing priorities, meet deadlines, and maintain accuracy in a busy practice. * Clear and professional verbal and written communication skills, including strong grammar, spelling, proofreading, and document formatting abilities. * A high level of attention to detail, discretion, confidentiality, and commitment

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Trainers Network – Arabic based in Netherlands. Join a global network of language professionals and culturally aware contributors helping shape the future of artificial intelligence. In this flexible, remote opportunity, you can contribute to projects that improve the accuracy, relevance, and inclusivity of AI systems. Depending on your skills and availability, you may work on text, image, or audio annotation, content evaluation, and prompt creation. Your Arabic language expertise and cultural understanding will help make AI-generated content more natural, reliable, and representative of diverse communities. Projects vary in scope and duration, offering opportunities to gain experience with emerging AI technologies while working on your own terms. This is a talent network opportunity rather than an active job opening, meaning you will be contacted when a suitable project becomes available. Before each project begins, you will receive clear information about the tasks, timeline, and compensation so you can decide whether it fits your interests and availability. Accountabilities As a contributor to the AI Trainers Network, you will support projects designed to improve AI performance, language understanding, and content quality. Depending on the project requirements and your areas of expertise, your responsibilities may include: Annotating and labeling text, images, or audio to help train and improve AI models. Evaluating search results, advertisements, and chatbot responses for accuracy, relevance, quality, and usefulness. Creating, testing, and refining prompts to improve the performance of large language models (LLMs). Reviewing AI-generated content to ensure linguistic accuracy, natural Arabic expression, and cultural appropriateness. Identifying errors, inconsistencies, and potentially misleading or unsuitable content in AI outputs. Applying project-specific guidelines and quality standards while maintaining consistency and attention to detail. Contributing feedback that helps develop safer, more inclusive, and human-centered AI systems. Managing assigned tasks independently and meeting project deadlines according to agreed requirements and availability. Requirements We are looking for detail-oriented, curious, and adaptable contributors who are interested in language, technology, and the development of AI systems. The ideal candidate combines strong Arabic language skills with the ability to evaluate information critically and work independently in a digital environment. Native or near-native fluency in Arabic, with a strong understanding of grammar, vocabulary, and linguistic nuances. Current residence in Poland for this opportunity. Good English proficiency to understand project instructions and communicate effectively. Comfort using digital tools, online platforms, and web-based applications. Strong attention to detail and the ability to identify linguistic, factual, and contextual inconsistencies. Good analytical and critical-thinking skills, particularly when evaluating content for accuracy and relevance. Cultural awareness and an understanding of Arabic-speaking communities, communication styles, and regional language variations. Ability to follow detailed guidelines, work independently, and deliver consistent, high-quality results. Curiosity about artificial intelligence, language technologies, and how human feedback can improve AI systems. Flexibility to participate in projects of varying durations and complexity, depending on your availability. Previous experience in data annotation, content evaluation, translation, linguistics, prompt engineering, or AI training may be helpful, but project-specific requirements will vary. Benefits Flexible, remote work: Contribute to suitable projects from your preferred working environment, subject to individual project requirements. Control over your availability: Choose whether to participate when a project matches your schedule and interests. Project-based opportunities: Access assignments that may last from a few days to several weeks, depending on scope and demand. Transparent compensation: Receive project-specific details about payment, tasks, and timelines before deciding whether to participate. Practical AI experience: Develop your understanding of AI training, data annotation, language evaluation, and large language models. Meaningful contribution: Help build more accurate, inclusive, and culturally aware AI technologies. Global contributor community: Become part of an international network of people contributing their linguistic and cultural expertise. Opportunities to grow: Build relevant skills through exposure to different projects and evolving AI technologies. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Find Jobs in Netherlands on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Eugenia Riger, Senior People Operations Manager Find more English Speaking Jobs in Germany on Arbeitnow

In a nutshell Build the intelligence that helps households get the week sorted Agentic grocery assistance: Picnic brings together something unusually powerful for an AI builder: a direct customer relationship, a live grocery assortment and the operational system that takes every order from intention to delivery. That gives you the opportunity to build an assistant that does more than talk; it can understand a household's plans and constraints, assemble a grounded basket, explain its choices and learn from what customers accept or change. You will decide where models, retrieval, ranking and deterministic services add real value, balancing customer control, correctness, latency, reliability and cost. Technical leadership & vision: As a Staff AI Engineer, you will be the hands-on technical lead for Agentic Shopping. You will own technical direction, architecture and model-strategy decisions; solve the hardest production challenges yourself; and establish evaluation, observability, safety and fallback patterns that other teams can reuse. Tricks of the trade Build Picnic's shopping assistant: Lead the technical direction for agentic shopping experiences that help millions of people plan and shop effortlessly. Technical leadership & architecture: Lead the system architecture for multi-turn conversational agents, balancing latency, safety guardrails, and inference costs. Technically mentor engineers across the organization to execute on building production-grade agentic systems. Rapid prototyping & productionization: Drive a fast-paced, iterative engineering cadence. Build initial prototypes, establish architectural patterns, and write production code when necessary to unblock complex technical challenges. Model fine-tuning & context engineering: Design and implement systems architectures for multi-turn, conversational agents using open-weight models and techniques like fine-tuning, distillation, and RAG. Evaluation & safety feedback loops: Establish continuous offline and online evaluation for mission completion, basket correctness, customer effort, clarification quality, acceptance and corrections, safety, reliability, latency and cost. Cross-functional alignment: Collaborate with product, design, and product teams to define technical trade-offs, align on agent capabilities, and ensure a seamless, safe user experience. We're looking for Proven track record of taking complex multi-turn conversational AI systems from architectural design to high-scale production. Experience training, fine-tuning, and optimizing open-weight LLMs for production deployment. Hands-on expertise building production RAG systems, context management, and state handling for multi-turn dialogues. Experience designing robust evaluation loops, continuous monitoring systems, and automated safety/guardrail mechanisms for customer-facing applications. Demonstrated ability to lead technical direction, perform design reviews, and mentor engineering teams without relying on hierarchy. Strong Python skills and demonstrated ability to choose and productionize appropriate model, orchestration, retrieval, evaluation and inference tooling. Experience with tools such as PyTorch, LangGraph, vLLM, Pydantic AI, Qdrant or DeepEval is useful, or similar framework tools is required. + Bonus points! Experience taking retrieval, ranking or recommendation models from problem definition to measurable production impact In-depth expertise in deep learning for sequence modelling, representation learning, or retrieval and ranking A degree in Computer Science, AI (or a related field), a PhD, open-source contributions, or peer-reviewed research are considered strong pluses Picnic Perks 🫱🏼‍🫲🏾 Teamwork makes the dream work With more than 80 nationalities across 3 countries, you'll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! 💡 Make a difference You'll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you'll also be contributing to making the world a better place! 🥗 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. 🚲 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate 🌎 Relocation If you're moving from another country to join Picnic we make it as smooth as possible for you. We'll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 📆 All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. Find more English Speaking Jobs in Netherlands on Arbeitnow

À propos de Decathlon Decathlon aspire à devenir la meilleure plateforme numérique sportive et l'écosystème ouvert du monde. Nous voulons permettre aux clients de vivre l'expérience Decathlon à travers de nombreuses expériences locales centrées sur le sport en connectant de nombreux acteurs et services tiers, de manière sécurisée et performante. Nos équipes numériques basées à Lille et Paris(et plus encore…) regroupant plus de 5000 collaborateurs, sont unies pour concevoir et développer des produits numériques avec l'objectif de toujours offrir la meilleure valeur à nos utilisateurs. Présent dans plus de 70 pays, Decathlon s'engage pour l'innovation, la durabilité et la satisfaction client. Description du Poste Notre équipe PRISM (Supply Chain) recherche un·e IA Engineer basé·e à Paris. En tant qu'IA Engineer dédié au déploiement d'agents, vous serez au cœur d'une équipe technique resserrée. Vous jouerez un rôle critique dans l'industrialisation, le déploiement et le suivi de nos capacités agentiques. Vous travaillerez en étroite collaboration avec les équipes numériques (Data, Produit, Ingénierie) pour architecturer l'infrastructure de déploiement, concevoir le routage de l'intelligence et construire une infrastructure sécurisée permettant à nos agents d'interagir nativement avec nos données d'entreprise et nos systèmes historiques (legacy) Responsabilités Concevoir et déployer les fondations solides qui permettront à nos agents IA d'être hébergés, de s'exécuter et d'interagir de manière fluide avec nos systèmes lors de la mise en production. Concevoir des pipelines robustes permettant l'exécution agentiques asynchrones multi-étapes (ex: flux d'ingestion et d'écriture transactionnels), en implémentant des patterns de résilience distribuée. Intégrer les SDKs d'orchestration agentiques (notamment Google Vertex AI Agent SDK / ADK), en contournant les limitations "boîte noire" des frameworks managés. Orchestrer de façon efficiente les agents mis en production tout en garantissant la bonne gestion du traitement de l'information, du routage vers les modèles les plus adapté et garantir une gestions des coûts et utilisation des tokens optimal. Garantir et assurer la qualité et la vitesse d'exécution des tâches à réaliser. Cadrer strictement le périmètre d'action de chaque agent. Vous garantissez qu'ils accèdent uniquement aux données et aux actions pour lesquelles ils sont formellement autorisés, dans le respect de nos règles de confidentialité. En garantissant la sécurité des données. Bâtir des pipelines de mesure de performance et tracking avancés pour tracer de bout en bout les réflexions et décisions de l'agent afin de débugger la logique en production. Travailler avec l'équipe pour définir les métriques d'évaluations data pertinentes et cohérentes par rapport aux spécificités et métriques fonctionnelles définies. Savoir Faire Conception de backends robustes (Python), maîtrise opérationnelle de la conteneurisation (Docker, Kubernetes) et des pipelines (CI/CD, tests automatisés, observabilité, gestion des logs) pour assurer des mises en production robustes. Expertise Python axée production, maîtrise des plateformes de déploiement (Vertex AI Agent Builder, Gemini Enterprise Agent Platform) et des protocoles d'intégration client/serveur comme le Model Context Protocol (MCP). Expérience d'optimisation des fenêtres de contexte pour des modèles frontières massifs. De routage de requêtes vers les modèles adaptés aux solution envisagées Capacité à construire des frameworks de test pour LLMs (LLM-as-a-Judge, Golden Datasets), maîtrise des métriques déterministes et validation stricte des formats de sortie (JSON schema enforcement). Expérience pratique sur l'Agentic RAG, le Semantic Caching pour réduire la latence et les coûts API, ou l'utilisation de frameworks d'optimisation de prompts (ex: DSPy). Expérience appliquée à la supply chain, au retail, ou au déploiement de modèles via Databricks / MLFlow. Savoir être Excellentes compétences en communication et en collaboration. Capacité à travailler efficacement dans un environnement dynamique et rapide. Solides compétences en résolution de problèmes et souci du détail. Adaptabilité et volonté d'apprendre de nouvelles technologies et méthodologies et à les partager. Capacité à traduire des concepts techniques complexes en termes compréhensibles pour les parties prenantes non techniques. Capacité à comprendre les enjeux utilisateurs et les besoins associés Qualifications Profil Senior : Vous justifiez d'une expérience solide (Machine Learning Engineering) avec une forte orientation vers la mise en production d'infrastructures. Capacité à exploiter des solutions managées (Vertex AI) tout en sachant aller dans les détails pour corriger des architectures distribuées, développer des connecteurs custom et contourner les limitations des frameworks. Capacité démontrée à évoluer dans des environnements techniques mouvants Aisance opérationnelle sur GCP et compréhension des environnements conteneurisés (Docker, Kubernetes) pour déployer de façon autonome la couche Agentique. Environnement technique Agent orchestration : Gemini Enterprise Agent Platform, Vertex AI Agent Builder Infrastructures & Cloud : GCP (Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines. IA & Protocoles d'intégration : Model Context Protocol (MCP), LLMs (Gemini), LLM routing & memory management. Sécurité & Accès : Google Cloud Model Armor. Execution Engine: Databricks, AWS EKS, Sagemaker Payload: Python, Spark, Scikit-Learn, Tensorflow / Pytorch, Pyspark CICD: Github Actions Serving: Docker, Protobuf, gRPC Model registry, Model Tracking: MLFlow Orchestration: Airflow Documentation / code: Git, Confluence Data Visualisation: Tableau CE QUE NOUS T'OFFRONS 2 jours de télétravail par semaine ; Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ; Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ; Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels). Rejoindre Decathlon, c'est faire partie d'une équipe dynamique passionnée par le sport, l'innovation et ayant un impact positif sur la vie de nos clients. Si vous êtes enthousiaste à l'idée de tirer parti de la data science pour optimiser les processus de la chaîne d'approvisionnement et stimuler la croissance de l'entreprise, nous vous invitons à postuler et à faire partie de notre aventure. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France on Arbeitnow

The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics , who will design and train deep-learning models for visual servoing in precision robot manipulation. Your model's output steers the robot as it moves, so inference latency and sub-millimetre accuracy both decide whether the task succeeds. Responsibilities Method Development: Develop deep-learning methods for visual servoing and robotic vision, adapting and combining existing methods for new tasks where that requires significant changes. Model Training: Design, train, fine-tune, and evaluate models in PyTorch, including adapting pretrained and foundation models to real robot tasks. Perception Methods: Develop 2D and 3D perception for pose estimation, depth, tracking, and geometric understanding, combining learned, classical, and optimization-based methods where each fits. Closed-Loop Integration: Integrate learned models into closed-loop robot control for high-precision manipulation. Robot Evaluation: Evaluate models on real robots and precision manipulation tasks, analyse failure cases, and improve robustness and generalization. Real-Time Deployment: Build real-time inference pipelines in C++ and Python and optimize models with ONNX, TensorRT, and CUDA to meet the timing of the control loop. Essential Skills Background: Master's degree or PhD in computer science, robotics, electrical engineering, or a related field, or an equivalent combination of research and industry experience, with three or more years in machine learning, computer vision, or robotics. ML Pipeline: Hands-on experience designing, training, and tuning deep-learning models end to end in PyTorch. Method Development: Experience adapting, combining, or extending existing machine learning or vision methods for a new task, with changes that required understanding how those methods work internally. Computer Vision: Solid understanding of computer vision and 2D/3D geometry. Programming: Software development in Python, with working knowledge of C++. Beneficial Skills Robot Control: Understanding of robot kinematics, feedback control, or visual servoing, or experience with high-precision manipulation. The team supports candidates in building this experience on the job. Model Deployment: Experience deploying optimized models with ONNX, TensorRT, or comparable frameworks, including on embedded or industrial GPU platforms. Robot Learning: Familiarity with reinforcement learning or imitation learning. Industrial Cameras: Experience with industrial 2D/3D cameras, lens models, camera calibration, or point clouds. Robotics Middleware: Experience with ROS or ROS 2. What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find Jobs in Germany on Arbeitnow

IMC is seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures and representation learning, improving our large-scale AI models that increasingly shape our trading. You will work closely with senior researchers to gain exposure to the full research lifecycle, from initial idea to production deployment. The ideal candidate has a strong foundation in modern AI and machine learning research, gained through post-graduate study or internships. Prior financial industry experience is not required. We are looking for someone who brings rigorous scientific thinking and a drive to learn, and who wants to grow alongside experienced researchers as we build a world-class deep learning capability at IMC. Your Core Responsibilities Build and improve deep learning models to enhance trading performance across multiple asset classes, working under the guidance of senior researchers Contribute to research in areas such as representation learning, transformers, foundation models, generative AI, reinforcement learning, and other emerging deep learning techniques Support large-scale data curation, feature representation, and self-supervised and multimodal learning from structured and unstructured datasets Contribute to shared training infrastructure and deployment pipelines Stay current with academic and industry developments in deep learning and share relevant research with the team Your Skills and Experience A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Currently in your final year of study, graduating in 2027 A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Demonstrated experience in deep learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor's and Master's candidates, research experience is required but can take other forms, e.g. thesis work, open-source contributions, or projects Hands-on experience with modern deep learning architectures, such as transformers, sequence models, representation learning, self-supervised learning, and/or generative models Solid understanding of the theoretical foundations of deep learning, optimization, statistical learning, and neural network training dynamics Strong programming skills in Python and hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow Strong communication skills with the ability to explain technical ideas clearly to both technical and non-technical audiences You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities. If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage. Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineering Manager to join us in London on a hybrid basis (3 days a week). In this role, you'll lead the team that owns intelligence across our ordering experience, from store page and item selection through cart, upsell and checkout, plus bundling. Personalisation is one of the biggest levers we have to drive value to our customers, and your team will make the app feel less like a generic catalogue and more like one that understands what each customer is trying to do. What you'll be doing Lead and develop a high-performing team of around 12 Machine Learning Engineers, distributed across multiple pods and spread across London, Finland and Berlin, fostering a culture of technical excellence, ownership and rapid experimentation. Own and evolve the ranking, recommendation and personalisation systems across ordering surfaces, helping customers find the right items quickly as our selection grows. Set the technical vision for the team's ML ecosystem, balancing near-term product goals with longer-term bets on areas like on areas across recommendations to agentic approaches, and intent-aware experiences that adapt dynamically to how customers browse and act. Lead the unification of our recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, working out how to power personalisation at global scale while keeping it feeling hyperlocal, and how to balance reusable core models against surface-specific adaptations without ending up with a sprawl of models. Partner with Product, Data Science and neighbouring engineering teams to identify high-impact opportunities, define roadmaps and translate ambiguous business problems into ML solutions. Provide technical guidance on modelling approaches, ML system design and production architecture, stepping in to challenge modelling decisions where needed without becoming a bottleneck. Drive key marketplace metrics such as conversion and engagement, balancing velocity and scope against sustainable, long-term technical quality. Stay close to the code so you understand how your team actually works, and help evolve the AI-assisted engineering practices and tooling that empower the team. What you'll need to thrive Proven experience line-managing ML Engineers, ideally 6 or more direct reports, with a track record of building high-performing teams, coaching engineers through career progression and managing a horizontally distributed team across multiple pods or workstreams. Significant experience building and deploying machine learning systems in production at scale, in areas like Recommendations, Personalisation, Search, Ranking or Information Retrieval. Strong stakeholder management across product, engineering and business functions, with experience working across multiple teams and geographies. A pragmatic, impact-focused mindset, prioritising outcomes and customer experience over theoretical perfection. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale - Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast - Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership - Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders - High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create - Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . 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Job Description Job Description Associate Lawyer - Family Law Lyons Law Firm is a growing law firm in Norfolk County who is looking to add an additional lawyer to it's growing team. Lyons Law Firm is guided by our core values and principles of Compassion, Integrity and Resourcefulness. As an approachable law firm and resource for the community, Lyons Law Firm is a forward-thinking firm that educates and utilizes community services to best serve our clients. We offer the community access to legal services that may otherwise be limited or unfeasible to the residents of Haldimand-Norfolk counties. Our primary focus is to educate people on their rights and guide them through the legal process. The firm offers the personal service expected of a small-town firm with the technology and legal resources of a big city firm. We are currently looking for a lawyer with a one to three years experience in family law to join our team but are willing to interview new calls that are willing to learn and be mentored. We are in a rural community so a valid driver's licence and ability attend in person at the office or court houses will be a requirement. Role and Responsibilities You will be carrying your own case load of family and criminal law clients including legal aid files. There will be ongoing mentorship and support from the firm. You will be responsible for ensuring all your matters are kept up-to-date, deadlines are met, and updates are communicated to all relevant parties. Maintain up-to-date knowledge of legislation and procedures within family and criminal law. Appearance at court or virtually as required. Fulfill all continuous professional development requirements to maintain membership with the Law Society of Ontario. Follow office procedures and protocol. Docket billable time. Lyons Law Firm will cover the continuous professional development expenses as well as LawPRO insurance. Pay will be based on experience. Health Benefits are included with employment. Requirements All applicants must be licenced to practice law in Ontario and be in good standing with the Law Society of Ontario. Motivation to learn and resourcefulness is key. Proficient with Microsoft Office suite (Word, Excel etc...) Family Law and/or Criminal Law experience is an asset but not a requirement. Good grasp of the Family Law Rules. Good grasp of the Criminal Rules of the Ontario Court of Justice, Familiarity with the Family Law Act, Divorce Act, Children's Law Reform Act, Criminal Code, and other applicable statutes. Job Types: Full-time, Permanent Salary is commiserate with experience. Commission is in addition to base salary. \nCompany Description Lyons Law Firm is a growing law firm in Norfolk County guided by our core values and principles of Compassion, Integrity and Resourcefulness Company Description Lyons Law Firm is a growing law firm in Norfolk County guided by our core values and principles of Compassion, Integrity and Resourcefulness

Small boutique immigration firm is looking for a lawyer with Canadian immigration experience . This hybrid position offers the opportunity to broaden your immigration experience and learn and grow with the support of a professional team. Candidate must have at least 5 years of Canadian immigration experience and be able to work in our downtown Vancouver location a few days a week. Dual US and CDN licensed lawyers an asset. Only qualified candidates will be contacted for an interview. No phone calls Pay: $100,000.00-$130,000.00 per year Benefits: * Extended health care * On-site parking Ability to commute/relocate: * Vancouver, BC: reliably commute or plan to relocate before starting work (required) Experience: * Immigration law: 5 years (required) Licence/Certification: * CDN LLB Degree and Certificate of Qualification (NCA) (required) Work Location: Hybrid remote in Vancouver, BC

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow