AI Machine Learning Engineer

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.

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.

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 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.

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.

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 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.

Wizeline is a global digital services company that works with clients ranging from mid-size businesses to Fortune 500 enterprises. The team focuses on building and improving digital products and services, helping organizations strengthen their digital capabilities and modernize their core technology. Role overview This Senior Fullstack Software Engineer position is based in Barcelona. The role centers on solving complex technical challenges for clients, with an emphasis on human-centered digital experiences and integrating intelligence such as AI, machine learning, and data-driven solutions. Who we’re looking for Wizeline seeks candidates who are passionate about technology and eager to take on new challenges. A strong interest in developing digital solutions and working on innovative projects is important for this role.

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 Contentsquare as a Senior Fullstack Software Engineer, where you will play a pivotal role in our Growth line, enhancing user conversions and driving customer retention strategies. This position offers the flexibility of being based in our Barcelona or Cairo offices or working remotely from Spain, Italy, Poland, or Portugal. You will collaborate with a diverse team to maximize monetization efforts while fulfilling our users' needs effectively.

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.

Are you a passionate Fullstack Engineer ready to take on exciting challenges? Join Scopely, a leading interactive entertainment company, where you'll work on innovative gaming projects that captivate millions of players worldwide.As a Fullstack Engineer, you will design and develop robust web applications, ensuring a seamless user experience. Collaborate with cross-functional teams, contribute to architectural decisions, and implement best practices in coding and testing.

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.

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

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 our dynamic team as a Fullstack Engineer specializing in Java and Angular. In this role, you will be responsible for designing and implementing robust software solutions that enhance user experiences and meet our clients' needs. Collaborate with cross-functional teams to drive innovation and ensure the successful delivery of projects.

Wizeline delivers AI-native technology solutions and builds digital products and platforms for clients worldwide. The company focuses on using data and AI to help organizations launch products faster and drive meaningful change. Collaboration, growth, and making a real impact are central values here. Role overview This Fullstack Software Engineer position is based in Barcelona. The role centers on designing and developing digital products that use AI and data to solve real business problems. Working closely with clients and team members, you will contribute to projects that aim to accelerate time to market and support business transformation. What you will do Build and maintain fullstack applications as part of a collaborative team Work with AI-driven technologies to create innovative solutions Contribute ideas and expertise to deliver high-quality digital products What we value Curiosity and a drive for growth Openness to collaboration and teamwork A focus on making a positive impact through technology

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.