Lead Python Engineer

Position: Lead Machine Learning EngineerType: Full-timeLocation: Barcelona or ValenciaAbout UsAt Visium, we empower enterprise leaders to define their AI and data strategies, execute transformative initiatives, and implement AI-driven solutions across their operations, ensuring their organizations are ready for the future. With deep expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we help our clients harness the full potential of their data.Our mission is to pioneer a sustainable and ethical future, building organizations that inspire. Join our team of curious, ambitious, and dedicated individuals who are committed to creating a world of wonder – our Visiumees.Are you ready to join us?Role OverviewAs the Lead Machine Learning Engineer, you will manage the most technically challenging and impactful projects from their inception through architectural design to production deployment.Your responsibilities will include:Guiding a technical team to ensure architectural excellence and long-term maintainability of solutions.Mentoring junior and senior engineers, elevating the technical standards across projects.Contributing high-quality code to data processing, modeling, and deployment pipelines while effectively delegating tasks.Collaborating with clients to translate intricate business challenges into actionable technical roadmaps, delivering measurable business results.Championing modern machine learning best practices and cutting-edge methodologies, covering system design, architecture, modeling, and MLOps.Your passion for machine learning and your ability to leverage data-driven insights to create value for clients will be key to your success. You excel in dynamic environments, balancing technical execution with strategic leadership.This role transcends model development; you will shape the technical strategy, uphold quality standards, and foster engineering talent, guiding the evolution of our machine learning delivery practices.

Join our innovative team at Visium as an AI Machine Learning Engineer, where you will play a crucial role in developing cutting-edge machine learning algorithms and artificial intelligence solutions. You will collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive our business forward.

About HappyRobotHappyRobot is pioneering the future of enterprise operations with our AI-native operating system designed for the real economy. We create a seamless connection between intelligence and action, enabling businesses to manage complex, mission-critical operations autonomously. Our innovative platform leverages real-time insights, specialized AI agents, and a central orchestrating intelligence to optimize processes across various sectors.Our AI operating system accumulates knowledge, enhances efficiency at every tier, and adapts over time. We are initially focusing on supply chain and large-scale industrial operations, where speed, resilience, and ongoing improvement are paramount—allowing human talent to concentrate on higher-value strategic endeavors.To learn more about our mission, please read our Manifesto. HappyRobot has successfully raised $62 million to date, including a recent $44 million Series B funding round in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, who support our vision to transform enterprise operations. We are investing these funds into cultivating a world-class team of individuals driven by a passion for innovation and excellence in a dynamic, fast-paced environment. If this sounds like you, we would love to have you on board at HappyRobot.About the RoleAs a Machine Learning Engineer, you will be at the forefront of developing AI models that facilitate human-like communication. You will operate at the convergence of speech, language, and intelligence—translating advanced research into real-time, scalable systems that power our flagship products. This role presents a unique opportunity to significantly influence both the technology and trajectory of our company as one of our first ML hires. You will oversee the complete lifecycle of machine learning systems, from design to deployment, ensuring we remain leaders in AI innovation.Design, develop, and maintain scalable ML systems, encompassing data ingestion, preprocessing, training, testing, and deployment.Create and refine end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to guarantee reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous production monitoring.Collaborate closely with product and engineering teams to integrate and deploy models into real-time applications, focusing on efficiency and scalability.

Veeva Systems is a forward-thinking organization and a leader in industry cloud solutions, dedicated to assisting life sciences companies in delivering therapies to patients more efficiently. As one of the fastest-growing SaaS enterprises, we achieved over $3 billion in revenue last fiscal year, with significant growth opportunities on the horizon. Our core values at Veeva are to Do the Right Thing, ensure Customer Success, promote Employee Success, and act with Speed. We’re not just any public company; in 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we provide the flexibility to work from home or in the office, allowing you to excel in the environment that suits you best. Join us in revolutionizing the life sciences sector, as we strive to create a positive impact on our customers, employees, and communities.The Role As part of Veeva Data Cloud, we provide connected data solutions for Life Sciences, enhancing insights and improving efficiency through a unified data architecture. Our AI team plays a crucial role in powering our comprehensive suite of products. By developing an integrated set of AI tools, we foster agility and quality on a global scale. Our advanced machine learning and AI models work in tandem with over 3000 data stewards, reinforcing one another to transform data into actionable insights. This synergy accelerates clinical innovation, enabling more patients to access essential treatments. We are seeking a talented individual to collaborate within a cross-functional team of data scientists, engineers, and data product managers to productize and scale the AI tools we develop. Veeva embraces a work-anywhere philosophy, allowing you the flexibility to work from the office or home as best suits your needs.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences sector through industry cloud solutions, enabling companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your work environment—whether from home or in the office—to thrive and excel.Join us in revolutionizing the life sciences industry, where we are dedicated to making a positive impact on our clients, employees, and communities.The RoleAt Veeva Link, we are constructing the intelligence layer for life sciences, developing interconnected data applications to accelerate drug development and drastically enhance patient outcomes. Our guiding principle is that the fusion of top-quality data and cutting-edge software creates tremendous value.Execution is paramount; we believe that progress is driven by speed, precision, and the quality of our daily builds. Our engineering philosophy focuses on clear product definitions and detailed technical designs, utilizing a modern tech stack to deliver reliable applications and superior user experiences.Our work encompasses two pivotal domains:Data-Driven InsightsWe create advanced applications that map and comprehend global scientific and medical expertise, yielding high-impact insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design and implement intelligent workflows that optimize business outcomes, ensuring that our clients achieve their strategic objectives.

About the TeamJoin our Global Operations team, dedicated to creating the ultimate customer experience in fintech, powered by AI. As a key member of our AI team, you will work at the intersection of machine learning engineering and impactful product development. Your role involves designing and implementing systems that enhance intelligent customer support for over 4 million merchants globally. This is not a research role; it's an engineering position where your contributions will directly influence how merchants engage with SumUp every day.

Join our innovative team at Wizeline as a Senior Machine Learning and Artificial Intelligence Engineer. In this role, you will leverage your expertise in cutting-edge AI technologies to develop and implement advanced machine learning models that drive business solutions. Your contributions will directly impact our product offerings and enhance user experiences.

Join Delivery Hero as the Director of Machine Learning Platform and lead the development of innovative solutions that enhance our operations and customer experience. Your mission will be to drive the strategic vision and execution of our machine learning initiatives.

Join Sopra Steria as a Senior Machine Learning and LLM Engineer, where you will be at the forefront of developing innovative AI solutions. This role involves designing and implementing robust APIs and full-stack applications that leverage the latest advancements in machine learning and large language models. Your expertise will contribute to shaping the future of our digital services and enhancing user experiences.

Join Our Team at FundamentalFundamental is at the forefront of artificial intelligence, redefining enterprise decision-making processes. With a foundation established by alumni from DeepMind, we have created NEXUS – the premier Large Tabular Model (LTM) designed specifically for structured data that influences critical business decisions. Supported by top-tier investors and trusted by Fortune 100 companies, we are unlocking unprecedented value for businesses, empowering them with predictive capabilities.At Fundamental, you will tackle unique technical challenges in developing foundational models, contributing to transformative technology that reshapes decision-making for the world’s largest enterprises. This is a chance to become part of a pioneering company and influence the future of enterprise AI.

Position: Lead Software Engineer (MLOps, GCP)Employment Type: Full-timeStart Date: March 2026About UsAt Visium, we empower enterprise leaders to shape their AI and data strategies, drive transformative initiatives, and seamlessly integrate AI into their operations, making their organizations resilient for the future. With unparalleled expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we help our clients harness and scale the potential of their data.Join us on our mission to create a brighter future by fostering ethical and future-ready organizations. Become a part of our dynamic team of innovators, visionaries, and doers – the Visiumees.Are you ready to join us?Your RoleWe are seeking a highly skilled Lead Software Engineer with a focus on Machine Learning. The ideal candidate will have extensive experience in developing production-grade systems and a strong background in MLOps and ML systems. This role emphasizes software development excellence through clean architecture design, high-quality code writing, and the operation of reliable systems at scale. You will collaborate with business stakeholders to create scalable, maintainable, and impactful ML solutions on Google Cloud Platform.Design, develop, and maintain scalable and reliable software systems that support various ML use cases.Take ownership of production services from end to end (design, implementation, testing, deployment, monitoring).Implement and advocate for software engineering best practices (clean code, architectural patterns, testing, CI/CD).Build and maintain APIs, services, and data pipelines integral to ML systems.Establish MLOps workflows with a strong focus on automation, reproducibility, and monitoring.Design and operate cloud-native systems on Google Cloud Platform.Work closely with ML engineers and data scientists to integrate models into production systems.Effectively communicate with stakeholders and participate in technical decision-making.QualificationsTo qualify for this role, you should possess:A minimum of 6 years of experience in software engineering.Exceptional programming skills and proven experience in building production systems.A solid foundation in software architecture, system design, and distributed systems.Experience applying engineering best practices in real-world scenarios.Hands-on experience with cloud platforms, particularly Google Cloud Platform (GCP).Experience with CI/CD, infrastructure as code, and production monitoring.Strong communication and stakeholder management skills.Willingness to work on-site in Winterthur once a week or travel if based outside of Switzerland.

At Abi, we are redefining healthcare access through our innovative global virtual care platform, delivering on-demand, omni-channel services to patients across 40 countries. Our mission is to simplify professional healthcare, making it as accessible as a conversation with a friend.By significantly lowering barriers to professional healthcare access, we support the United Nations Sustainable Development Goal 3, aiming to ensure healthy lives and promote well-being for everyone.Join our AI Lab, where we are committed to attracting and hiring exceptional Data Science and Machine Learning (ML) professionals. If you are considered for a role in our AI Lab, your contributions will be pivotal in enhancing AI/ML solutions and infrastructure that underpin our products and services, driving continuous innovation within our organization.ResponsibilitiesYou will play a crucial role in developing and advancing the AI-driven features of our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Your expertise will also be vital in mentoring junior colleagues within the AI Lab, fostering a collaborative and effective work environment.Key activities (subject to project progression)Analyze and refine data science prototypesDesign, train, and refine machine learning modelsInvestigate and apply suitable ML algorithms and toolsEnhance existing ML libraries and frameworksSelect suitable datasets and data representation techniquesConduct machine learning tests and experiments

airapps is hiring an AI/ML Engineer in Barcelona to contribute to new artificial intelligence and machine learning projects. This position centers on building and improving technology that drives real-world impact. Role overview This role involves hands-on work with AI and ML systems. The team values individuals who bring technical skill and a genuine interest in advancing the field. Collaboration and curiosity are important here, as projects often require creative problem-solving and fresh ideas. What you will do Develop and refine AI and machine learning solutions as part of a collaborative team Work on projects that aim to advance technology in meaningful ways Who we’re looking for Experience or strong interest in artificial intelligence and machine learning Motivation to contribute to impactful technology projects Based in or willing to work in Barcelona

At Hudl, we cultivate exceptional teams. We seek out top talent to ensure you are surrounded by individuals from whom you can continually learn. You have the autonomy to accomplish your tasks in your own way, while pushing the boundaries of what is possible and what lies ahead. Our culture is designed to foster support and encouragement, reflected in our recognition as one of Newsweek's Top 100 Global Most Loved Workplaces.We consider ourselves the backbone of the teams we support, recognizing the lifelong impact that sports can have through lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. Our products empower teams worldwide to view their games from a different perspective, simplifying video capture, data analysis, highlight sharing, and more for coaches and athletes at any level.Are you ready to be part of our journey?Your RoleWe are in search of a Senior MLOps Engineer to join our Hardware Group, where you will develop and scale the machine learning infrastructure that powers our innovative smart cameras, Focus. You will take ownership of the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices worldwide. This role serves as a vital link between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., contributing to the 'nervous system' for the next generation of automated sports capture.As a Senior MLOps Engineer, your responsibilities will include:Building scalable Edge infrastructure. You will design, develop, and maintain the systems that facilitate model deployment to fleets of devices, leading the re-architecture towards a dynamic, granular update system for enhanced learning speed.Collaborating with cross-functional teams. Partnering with Data Scientists, Embedded Engineers, and Product Managers to ensure seamless integration of complex features, transforming research requirements into deployable hardware solutions.Driving automation and reliability. You will implement infrastructure to silently test candidate models on production devices and build telemetry pipelines to monitor drift, thermal impact, and inference performance.

We are seeking a highly skilled Senior AI/ML Engineer to join our innovative team at Visium Technologies in Barcelona. In this role, you will be responsible for developing cutting-edge machine learning algorithms and models that enhance our AI capabilities. Your expertise will play a pivotal role in driving our projects forward and contributing to the advancement of AI technology.The ideal candidate will have a strong background in machine learning, deep learning, and AI technologies, along with the ability to work collaboratively in a fast-paced environment.

Join Abacum as an AI Transformation Lead and spearhead the integration of artificial intelligence into our business processes. In this pivotal role, you will collaborate with cross-functional teams to develop innovative AI strategies that drive efficiency and enhance decision-making. Your expertise in AI technologies will be crucial in shaping our company's future.

At Lighthouse, we are dedicated to transforming the commercial strategy landscape within the hospitality sector. Our groundbreaking commercial platform simplifies data complexities, equipping businesses with actionable insights, advanced pricing tools, and state-of-the-art business intelligence to fully realize their revenue potential.With an impressive backing of $370 million in Series C funding and a steadfast commitment to growth, we have integrated five companies into our journey and surpassed $100 million in ARR in 2024. Our diverse team of over 850 professionals spans 35 countries and 34 nationalities.At Lighthouse, we foster a vibrant community, emphasizing collaboration, enjoyment, and a shared commitment to reshaping the hospitality industry. Are you prepared to embark on our exciting journey and elevate your career in the most dynamic environment? Your ResponsibilitiesReporting to our Director of Data Science, as a Senior MLOps Engineer, you will play an essential role within our Data Organization. Your primary mission will be to design, construct, and sustain the robust infrastructure that underpins our machine learning solutions, ranging from classical models to innovative LLM-powered features and AI agents. In this enabling role, you will support not only the Data R&D team but also lay the groundwork that empowers other engineering teams to deploy their own AI features into production, impacting hundreds of thousands of hotels worldwide.Your Impact AreasCreate and implement the foundational infrastructure for deploying and managing both classical machine learning models and generative AI systems in a production environment.Design and maintain resilient data pipelines using Airflow to guarantee timely delivery of high-quality data to our models.Deploy, monitor, and enhance the performance of machine learning models on Google Cloud Platform (GCP) utilizing tools such as VertexAI.Act as a catalyst by developing foundational tools and providing direction that enables other engineering teams to launch their own AI features.Work closely with our Data Scientists to enhance the accuracy, reliability, and scalability of our models.Play a pivotal role in the end-to-end delivery of Data R&D projects, from research to product implementation.Stay updated on the latest MLOps technologies and best practices, sharing your expertise to uplift the entire team.About Our TeamYou will be joining the Data R&D team, a critical group focused on harnessing the power of data to drive innovation.

Perk is looking for an Engineering Manager focused on AI and ML Automation to join the team in Barcelona. This position leads a group of engineers working on features that use artificial intelligence and machine learning to improve Perk’s travel and spend management platform. What you will do Guide a team as they design, build, and scale AI-driven features across Perk’s platform. Integrate machine learning solutions to automate and enhance user experiences. Work closely with product and engineering teams, combining technical leadership with hands-on involvement. Explore new ways for users to interact with Perk’s ecosystem, contributing to the company’s vision for agentic automation. Role requirements Experience leading engineering teams, ideally in AI or ML projects. Strong background in technical leadership and collaboration. Ability to work onsite in Barcelona. About Perk Perk builds intelligent tools for travel bookings and expense management, helping businesses automate manual tasks. Over 10,000 companies worldwide use Perk to reclaim time and improve productivity. Founded in 2015, Perk now has more than 1,800 employees in 12 offices, with headquarters in London and Boston. The team values ownership, excellence, and collaboration, and includes professionals from travel and SaaS backgrounds. Learn more at www.perk.com.

Join the Future of AI at FundamentalAt Fundamental, we are at the forefront of transforming enterprise decision-making through advanced AI solutions. Founded by innovators from DeepMind, we have created NEXUS, the world's most sophisticated Large Tabular Model (LTM), designed specifically for the structured data that drives critical business decisions. With the backing of premier investors and the trust of Fortune 100 companies, we are unlocking unprecedented value in enterprise operations.As a member of our team, you will tackle groundbreaking technical challenges in foundation model development and craft solutions that redefine decision-making for the world's largest organizations. This is your chance to be part of a pioneering company shaping the future of enterprise AI.Your Role and ResponsibilitiesIn our dedicated research team, you will play a vital role in developing innovative machine learning models, focusing on the crucial element of data. Your key responsibilities will include:Identifying, characterizing, and assessing various data sourcesCreating and maintaining efficient ETL pipelinesDesigning and developing scalable and reliable data storage solutionsCollaborating with the research team to ensure a dependable and efficient training pipelineWorking alongside the engineering and infrastructure teams