Data Science/Machine Learning Engineer

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.O…

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

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.

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.

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.

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.

About the RoleJoin us as a Senior Staff Data Scientist at Heetch, where you will play a pivotal role in transforming our marketplace through cutting-edge analytics, experimentation, and machine learning techniques. In this capacity, you will set the strategic direction for data science projects, shape product strategy, and mentor fellow data scientists to enhance our analytical capabilities and impact.As a key technical leader, you will collaborate closely with Product, Engineering, and Operations teams to leverage data for impactful decisions that enhance reliability, foster growth, and elevate user experience across diverse markets.What You’ll Do- Spearhead data science initiatives that have a significant impact across the organization, encompassing experimentation frameworks, machine learning systems, and causal inference methodologies.- Establish best practices and standards for experimentation, modeling, and analytical excellence throughout various teams.- Collaborate with Product and Engineering leadership to pinpoint and prioritize high-value opportunities.- Design and implement scalable models and data products that yield measurable business outcomes.- Provide mentorship and coaching to other data scientists and analysts, empowering them to produce higher-impact contributions.- Articulate insights and recommendations to senior leadership, influencing product and growth strategies.- Participate in the evolution of Heetch’s data platform, ensuring data quality, reliability, and efficiency as we scale.You’ll Thrive In This Role If You- Possess a profound understanding of statistics, experimentation, and causal inference, with practical application skills.- Are proficient in Python, SQL, and contemporary data/machine learning tools.- Have experience in deploying machine learning models into production and assessing their long-term impact on business.- Excel at translating intricate technical findings into actionable business insights.- Are a collaborative leader who guides peers and sets high benchmarks for analytical rigor and influence.- Bring 7+ years of data science experience, with 2–3 years in a staff-level or technical lead role.Nice to Have- Background in marketplace or pricing systems (including supply-demand modeling, matching, or fraud detection).- Experience in leading data science communities or chapters.- Familiarity with MLOps, feature stores, or causal inference frameworks.

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.

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.

Join our innovative team at Lodgify as a Senior AI Engineer where you'll lead the development of cutting-edge AI solutions to enhance our platform. Collaborate with a talented group of engineers and data scientists to design, implement, and optimize algorithms that drive our product's capabilities.

Join Veepee's dynamic Data Science team in Barcelona, where you'll be at the forefront of enhancing our cutting-edge recommender systems. As a Senior Data Scientist, you'll design and test innovative algorithms that deliver personalized sales recommendations to millions of users in real-time. Collaborate with a talented team of Machine Learning and Data Engineers to leverage large-scale behavioral and product data, driving engagement and conversion across our platform. Your contributions will directly impact the shopping experience for a vast audience as we scale our offerings to include hundreds of thousands of products.

Role overview The Senior Specialist in Data Science & AI for Digital & IT at Jobs for Humanity will be based at Barcelona Gran Vía. This role focuses on applying data science and artificial intelligence to enhance digital and IT solutions that benefit the community. Key responsibilities Use data science and AI knowledge to drive projects that make a tangible difference for the community Collaborate with colleagues across various teams to design and develop new digital and IT solutions Contribute to the improvement of tools and processes, supporting better operations and customer service Collaboration This position requires frequent work with cross-functional teams. The goal is to deliver solutions that increase both operational efficiency and the quality of customer experience.

Join Veepee as a Lead Data Scientist and be part of a dynamic Data Science Team, where you'll develop, implement, and maintain cutting-edge machine learning algorithms. Your primary focus will enhance our price recommendation system—a vital initiative aimed at maximizing margin per visitor. Additionally, you'll engage in key projects involving demand forecasting, product recommendations, generative AI pipelines, and image recognition, all within a collaborative and innovative environment spread across Paris, Barcelona, and Brussels.

Cint is looking for a Senior Data Scientist in Barcelona with a focus on artificial intelligence and synthetic intelligence. This position centers on building advanced models and algorithms to strengthen data analytics and support market research innovation. Role overview This role involves applying deep expertise in AI and synthetic intelligence to develop solutions that improve how data is analyzed and interpreted. The work directly supports Cint’s goal of advancing the field of market research through technology. What you will do Design and implement sophisticated models and algorithms for data analytics Work with large datasets to extract insights and improve research outcomes Contribute to projects that shape the future of market research at Cint Requirements Strong background in artificial intelligence and synthetic intelligence Experience developing advanced data models and algorithms Ability to work onsite in Barcelona

Veeva Systems is a pioneering, mission-driven organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last year and continue to see immense growth potential.Our core values of Doing the Right Thing, Customer Success, Employee Success, and Speed drive our operations. In 2021, we made headlines by becoming a public benefit corporation (PBC), which commits us to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work remotely or in-office, supporting your success in your preferred work environment.Join us in transforming the life sciences industry, and making a positive impact on our customers, employees, and communities.The RoleVeeva Link facilitates connections within the life sciences sector, enabling professionals to engage with key individuals for clinical trials, educational initiatives, or advisory boards. This streamlined access significantly reduces the time-to-market for critical drugs, allows trials with the most relevant experts, and disseminates information about new treatments to essential members of the life sciences community. Learn more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/. As a Data Engineer, you will be integral to our data pipelines and take charge of a significant portion of the Link data processing platform. We value end-to-end ownership, placing you in the ideal position to identify, design, and implement enhancements to the product's data pipelines while adapting to the evolving market demands. Your responsibilities will include driving features and innovations using SOLID and clean software principles, participating in architectural enhancement processes, and ensuring quality outcomes. Monitoring, metrics, and general observability will be integral parts of your feature design process.

Join our dynamic Quick Commerce team as a Data Scientist and help elevate the customer journey by redefining the quick commerce landscape. Your expertise will be fundamental in developing scalable technologies that enhance our non-food offerings, penetrating new market segments and driving substantial revenue growth.As part of our innovative Quick Commerce Team, you will play a pivotal role in establishing Delivery Hero as the premier platform for diverse products, enabling us to accelerate our growth and deliver unparalleled value to customers worldwide.We are creating an AI-driven engine that simplifies the process for vendors to upload and manage their catalogs effortlessly on our platform. Collaborating closely with Data Engineers and Software Engineers, you will design, construct, and implement machine learning models aimed at automating content creation and optimizing product assortment.This role is tailored for individuals with a robust foundation in applied machine learning, particularly in the realm of Computer Vision, who are eager to develop a dependable and scalable image recognition system. You will be tasked with formulating hypotheses, validating model accuracy, and bringing machine learning-powered services to life that accurately recognize and categorize product images, thereby facilitating real business impact.If you possess strong coding skills, a problem-solving mindset, and thrive on tackling complex, high-scale applied machine learning challenges, we invite you to connect with us.Key Responsibilities:Experiment and deploy AI/ML models to automate image recognition of products at scale.Conduct experiments: formulate hypotheses, validate model performance, analyze business impact, and convert insights into production-ready models.Develop ML models to intelligently recognize products from images, extracting key details such as barcodes and names, and assisting with product categorization.Stay abreast of advancements in state-of-the-art models (e.g., NLP, deep learning, computer vision, classification, LLMs) to identify the best solutions for our needs.Collaborate closely with Machine Learning Engineers and Software Engineers to ensure that our solutions are scalable, reliable, and efficient in production environments.Contribute to the long-term vision for product image recognition while achieving short-term objectives that generate measurable business impact.