Data Science/Machine Learning Engineer

Veeva Systems is an innovative leader in the industry cloud space, dedicated to empowering life sciences companies in their mission to deliver therapies to patients more swiftly. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year, with significant growth opportunities on the horizon.Central to our…

Join our dynamic team at Inetum Group as a Machine Learning Engineer. In this role, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that drive our projects forward. You will work closely with cross-functional teams to implement scalable models, optimize performance, and contribute to cutting-edge technology initiatives.

Join our innovative team at Sixt as a Senior Machine Learning Engineer, where you will lead the design and implementation of cutting-edge machine learning solutions. You will work collaboratively in a dynamic environment, tackling challenging problems and driving the company's data-driven decision-making processes.

At Sixt, we aspire to revolutionize the way people move, meeting their expectations for a better experience. Become a part of our Data Science team and help us make impactful changes through advanced algorithms that enhance our business processes, including pricing. Join us on this exciting journey!YOUR ROLE AT SIXTLead and expand our Machine Learning Engineering team, working closely with data scientists to convert models into production-ready ML applications on our central MLOps platform.Establish ML Engineering standards by creating best practices, design patterns, and quality benchmarks that empower data scientists to develop scalable and maintainable ML solutions.Drive the technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with our business goals while effectively communicating system designs to technical leadership.Act as a bridge between platform capabilities and practical implementation, translating MLOps platform features into actionable guidance for data science teams and relaying ML engineering needs back to the MLOps platform team.Promote collaboration and excellence by building strong relationships across cross-functional teams, mentoring engineers, and nurturing a culture of innovation and continuous improvement.

At Veeva Systems, we are dedicated to revolutionizing the life sciences sector by accelerating the delivery of therapies to patients. As a trailblazer in industry cloud solutions, we have achieved remarkable milestones, surpassing $3 billion in revenue last year and showcasing significant growth potential. Our core values—Doing the Right Thing, Customer Success, Employee Success, and Speed—drive our mission. In 2021, we proudly became a public benefit corporation, committed to balancing the needs of our customers, employees, society, and investors. As a Work Anywhere organization, we empower you to choose a flexible work environment that best suits your needs, whether from home or in the office. Join us in transforming the life sciences industry, where we are committed to making a meaningful impact on our customers, employees, and communities.The Role As part of the Veeva Data Cloud team, you will work with a cross-functional group of data scientists, engineers, and product managers to enhance our AI solutions. Our AI team powers a suite of products designed to accelerate insights and improve operational efficiency through a robust data architecture.Your role will involve scaling our innovative AI tools, which are complemented by a dedicated team of over 3,000 data stewards. By merging AI with human expertise, we transform data into actionable insights, facilitating faster clinical innovations and broader access to necessary treatments for patients.Veeva embraces a flexible work policy, allowing you to work from home or in our offices, prioritizing productivity in your preferred environment.

Join Inetum as a Senior Machine Learning Officer and be a pivotal part of our innovative team in Lisbon. You will leverage cutting-edge technologies to develop and implement machine learning models that drive business solutions and enhance operational efficiencies.In this role, you will collaborate with cross-functional teams, contributing to impactful projects that push the boundaries of technology and analytics. Your expertise will guide the development of algorithms and predictive models, ensuring quality and performance at every step.

Role overview ComplyAdvantage seeks a Junior Machine Learning Engineer for its Lisbon, Portugal office. This position helps develop machine learning tools that support compliance processes. Collaboration is central to this role. Work closely with experienced engineers and data scientists on projects that involve building predictive models and implementing algorithms tailored for compliance technology. What you will do Support the creation and improvement of machine learning tools for compliance workflows Contribute to building predictive models that address compliance challenges Implement algorithms in partnership with other team members Team and environment Join a group of engineers and data scientists focused on advancing compliance technology through practical machine learning solutions.

About Riskified Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions. We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission. Role Overview Note: This position will be recruited, hired, and employed by a third-party agency. The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data. As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment. What You Will Do Technical Leadership Set technical direction for complex data science projects that use large-scale tabular data. Lead key projects and contribute production-quality code. Define and maintain best practices for model development, evaluation, and deployment. Conduct code reviews to ensure quality, maintainability, and adherence to standards. Help team members navigate challenging technical problems. Team Leadership and Management Recruit, onboard, mentor, and manage data scientists. Foster a collaborative environment that encourages experimentation and knowledge sharing.

Welcome to Kaizen Gaming!As a leading force behind Betano, Kaizen Gaming stands as one of the world's largest GameTech companies, proudly serving 19 diverse markets. Our mission revolves around harnessing state-of-the-art technology to deliver unparalleled experiences to millions of customers who choose us for their gaming entertainment.We are a vibrant community of over 2,700 passionate Kaizeners from more than 40 nationalities, spread across three continents. Recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work, we assure you that no two days will be alike in our dynamic environment. Are you ready to Press Play on your potential?About the RoleAt Kaizen, we are dedicated to utilizing the power of modern AI algorithms to enhance our products and business strategies continuously. Our AI department, comprising product, platform, and research teams, is central to this goal. From detecting fraudulent activities to providing personalized gaming recommendations and optimizing CRM systems, we develop innovative AI solutions.Our teams are built on the principles of self-drive, autonomy, and cross-functionality. In this collaborative environment, you'll engage with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners, and Agile Delivery Leads.As a Machine Learning Engineer, your primary focus will be on architecting and delivering robust, scalable Machine Learning pipelines while ensuring the seamless operationalization of Machine Learning models.Your Responsibilities:Design, develop, and maintain scalable model training and inference pipelines in a distributed production environment.Create, deploy, and manage microservices in Python that host and serve ML models in production.Develop and maintain internal tools that facilitate CI/CD/CT, efficient feature engineering, experiment tracking, and data/model versioning.

Join the Kaizen Gaming FamilyAt Kaizen Gaming, the driving force behind Betano, we stand as one of the largest GameTech companies globally, operating across 19 dynamic markets. Our mission is to harness innovative technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We proudly represent a diverse workforce of over 2,700 Kaizeners from more than 40 nationalities across three continents.As a member of our #oneteam, you’ll be part of a workplace recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work across all our offices. Here, every day brings new opportunities and challenges. Are you ready to Press Play on your potential?About the RoleAs the Data Science Team Lead within our AI product team, you will spearhead the development and delivery of impactful AI solutions. Your role will be central to our AI initiatives, involving data analysis, the creation of machine learning models, and close collaboration with our tech team to develop successful AI products that drive business success.The ideal candidate will possess a robust understanding of machine learning algorithms, a strong track record of deploying ML/AI applications in live environments, and previous experience in managing and guiding AI teams.Key Responsibilities:Lead a team of 5 to 7 talented data scientists and machine learning engineers.Translate product specifications into machine learning challenges and identify key areas where AI can maximize business impact.Conduct data analysis to uncover significant patterns and generate actionable insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Establish best practices in model selection, parameter tuning, and optimization.Execute comparative experiments for model training.Evaluate different solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features—from data collection through model design to implementation and optimization in production.Mentor junior team members and guide the team through complex projects.

ComplyAdvantage develops technology to help organizations detect and prevent financial crime. The team delivers real-time insights on criminal activity, financial threats, and political risks by processing information from a wide range of sources. This Machine Learning Engineer position is based in Lisbon, Portugal. The role centers on building, training, and deploying machine learning models that support the detection and prevention of financial crime. Collaboration with cross-functional teams is key, as is integrating models into data pipelines and enhancing client outcomes through thoughtful feature engineering and API development. What you will do Develop, train, and deploy machine learning models tailored to team objectives. Build systems to monitor model performance and identify feature drift. Apply public models, prompt engineering, and retrieval-augmented generation (RAG) to accelerate value delivery. Collaborate with teams across disciplines to design and implement intelligent services. Write maintainable, efficient, and well-tested Python code, focusing on scalability and transparency. Integrate models into data pipelines, including feature engineering, API development, and managing event stream inputs and outputs. Technology stack Cloud: AWS, GCP Backend: Python, Kotlin Frontend: TypeScript, ES6, React Databases: Yugabyte and other advanced technologies Big data: Spark, cloud object stores Architecture: Event-sourced with Kafka; gRPC for service communication Machine learning: Libraries, hybrid columnar data stores (Databricks), Spark for streaming and big data, and various graph databases Observability: Grafana Deployment: ArgoCD Engineering quality is a core value at ComplyAdvantage, with a strong focus on delivering reliable code and effective solutions for clients.

At Thought Machine, we are on a groundbreaking mission to eliminate outdated technology from the banking sector. Our innovative core and payments technology is designed to operate seamlessly in the cloud, laying the groundwork for modern banking.Having expanded rapidly over the past few years, our team now comprises over 550 talented individuals across offices in London, New York, Singapore, Sydney, and our newly launched Engineering Hub in Lisbon. With more than £500 million raised in funding, we boast a diverse group of investors including Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures.We cultivate a dynamic workplace culture that encourages excellence and enjoyment, often recognized for our outstanding employee experience. Sifted magazine has honored us with one of the highest Glassdoor ratings among UK fintech companies, and we have been acknowledged by Global Finance Magazine as one of the world's most innovative fintechs. Furthermore, the Financial Times recognized us as one of Europe’s fastest-growing companies for two consecutive years, and we were named a UK Best Employer for 2026.As an Engineering Manager, you will play a crucial role in driving our software engineering initiatives at Thought Machine. Our engineers tackle unprecedented engineering challenges across the technology stack, producing high-quality code that is scalable, secure, and user-friendly. You will oversee the complete lifecycle of projects, from engineering design to implementation, ensuring that both backend services and frontend experiences meet our clients' diverse needs.We serve a wide range of clients, from the largest financial institutions to regional banks. Your role will involve crafting customizable user experiences that cater to various personas, bridging the gap between back-end and front-end systems to deliver exceptional solutions.This is a full-time, permanent position based in our Lisbon office, where collaboration and innovation are at the forefront of our engineering efforts.

Join GoCardless as a Data Science Manager and lead a dynamic team at the forefront of payment intelligence. In this role, you will leverage bank account data to deliver innovative and intelligent payment solutions, driving success in payment processing and fraud prevention. Collaborate with Software Engineers, Product Managers, and Designers to transform ambitious ideas into practical algorithms that enhance our global payment network. You will oversee the entire lifecycle of these algorithms, from conceptualization to production deployment, ensuring they are optimized for performance within our advanced Google Cloud Platform and Vertex AI environment. If you are passionate about data science and leadership, this is the opportunity for you to make a significant impact.

About UsAt Riskified, we empower businesses to drive e-commerce growth by mitigating risk. Our platform is trusted by some of the world's leading brands and publicly traded companies in their online operations. We provide guaranteed protection against chargebacks, combat fraud and policy abuse at scale, and enhance customer retention. Our AI-powered fraud and risk intelligence platform, developed by a dedicated team of e-commerce risk analysts, data scientists, and researchers, analyzes each interaction to deliver real-time decisions and insightful identity-based analytics. We're proud to partner with a diverse range of exceptional companies, including Acer, Gucci, Lorna Jane, and GoPro.We excel in a collaborative environment that fosters innovation and product development that matters. The opportunity to contribute meaningfully drives our passion and purpose at Riskified, making it a fulfilling place to work.About the Role*** A third party will recruit, hire, and employ this position.The Data Science department is integral to our company, adding value through the development of algorithms and production-grade analytical solutions. We utilize advanced techniques such as classification models, NLP, anomaly detection, and deep learning to maximize the value of data. As a Data Scientist, you will engage in the entire project development cycle, implementing end-to-end solutions. This role requires a strong foundation in quantitative and analytical skills, proficiency in statistical modeling and machine learning, and a technical aptitude paired with a passion for problem-solving and driving data-informed decision-making.What You'll Be DoingData Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from diverse sources to ensure data quality and integrity for analysis.Statistical Analysis and Modeling: Utilize statistical methods and mathematical models to uncover patterns, trends, and relationships in data, while developing predictive models.Machine Learning: Create and deploy machine learning algorithms, including classification, regression, clustering, and deep learning techniques, to address business challenges and enhance processes.Feature Engineering: Identify relevant features from structured and unstructured data sources, designing new features to improve model performance.

Role Overview Pipedrive is hiring a Principal AI/ML Scientist & Engineer in Lisbon, Portugal. This role focuses on designing and building advanced machine learning solutions that improve product features and user experience. What You Will Do Lead the development of machine learning models and systems for Pipedrive’s products Work closely with engineering, product, and design teams to integrate AI features Apply scientific methods and engineering best practices to solve complex problems

Role Overview Join ComplyAdvantage as a Data Scientist, where you'll spearhead the development of innovative, data-driven solutions aimed at combatting financial crime on a global scale. Your primary responsibilities will be centered around Research & Development (R&D) and Strategic Initiatives, focusing on pioneering research in machine learning (ML), natural language processing (NLP), and Agentic AI to generate tangible business outcomes. Alongside in-depth R&D, you will also play a crucial advisory role for our Product and Engineering teams, equipping them with the quantitative insights and frameworks vital for scaling impactful, AI-driven functionalities. Key Responsibilities Innovate in R&D: Create high-impact prototypes for financial crime detection utilizing advanced multi-agent systems and retrieval-augmented generation (RAG) architectures based on foundational large language model (LLM) frameworks. Enhance Core Solutions: Collaborate closely with Engineering and Product teams to seamlessly integrate and optimize AI components and frameworks, ensuring they meet standards for reliability, scalability, and ethical performance in production. Assess LLM-based Systems: Contribute to the design and deployment of robust evaluation methodologies for LLM and Agentic AI systems, monitoring critical metrics related to task execution, reasoning accuracy, tool efficacy, and overall dependability. Review Model Context Protocol (MCP): Integrate our AI systems with external data sources and tools while offering engineering implementation recommendations. Understand Data: Cultivate a comprehensive understanding of our current data sources, identifying challenges and proposing improvements. Data Analysis: Employ exploratory data analysis and data mining techniques to uncover actionable insights for product enhancement, including behavioral patterns that can inform and refine agent behavior and prompt engineering strategies. Research & Innovation: Continuously investigate and assess emerging tools, technologies, and best practices in data science, particularly in the dynamic field of Agentic AI, to maintain ComplyAdvantage's leadership position. Cross-Functional Collaboration: Engage effectively with multidisciplinary teams to share best practices, expertise, and inspire innovation, fostering an AI-centric culture throughout the organization. Visualization & Roadmapping: Deliver clear data insights and visualizations that serve as a foundation for new concepts to be integrated into our solutions.

Join Veeva Systems, a trailblazer in the industry cloud space, 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 fiscal year and have significant growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—define our approach. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to work from home or the office to thrive in your ideal environment.Become a part of our mission to transform the life sciences industry and make a meaningful impact for our customers, employees, and communities.The RoleVeeva Link plays a crucial role in the life sciences sector by connecting professionals with key individuals, thereby enhancing research and care. This platform significantly reduces the time-to-market for vital drugs, facilitates clinical trials with the most relevant experts, and disseminates information about new treatments within the life sciences community. Discover more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/. As a Data Engineer, you will be instrumental in managing our data pipelines and will hold a significant responsibility in the Link data processing platform. We encourage end-to-end ownership, allowing you to identify, design, and implement enhancements to product data pipelines while adapting to the evolving market demands. You will be accountable for feature innovation employing SOLID and clean software principles, participating in architectural advancements, and ensuring the quality of outcomes. Monitoring and observability will be integral to your feature design process.

At Thought Machine, we are on a revolutionary mission to eliminate legacy technology from banks worldwide. We have created robust core and payment technologies that operate natively in the cloud, laying the groundwork for modern banking. Our ambitious endeavor demands exceptional talent collaborating to craft outstanding technology.Having rapidly expanded over the past few years, our team has grown to over 550 professionals across offices in London, New York, Singapore, Sydney, and our newly launched Engineering Hub in Lisbon. With over £500m raised in funding, our investors include industry leaders such as Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures.We pride ourselves on fostering a culture that empowers our team to deliver the highest quality work while enjoying the journey. Recognized for our fantastic workplace culture, we have achieved one of the highest Glassdoor ratings among UK fintech companies and offer one of the industry's most generous employee share packages. Named one of the world's most innovative fintechs by Global Finance Magazine and listed by the Financial Times as one of Europe's fastest-growing companies for two consecutive years, we are also honored to be recognized as a UK Best Employer for 2026.This full-time, permanent role is based in our Lisbon office and requires four days a week onsite.Within our IT department, which stands for Internal Technology, we ensure our colleagues are equipped with the necessary tools for productivity. We are seeking a passionate Mac/Linux Support Engineer to be our inaugural IT hire in Lisbon.As the first IT professional in our Lisbon office, you will play a crucial role in supporting this new site while collaborating with our global support team. We primarily offer in-person support, as we believe it enhances problem-solving efficiency and fosters a great social atmosphere. Our equipment includes a fleet of Mac laptops and Linux desktops, complemented by a blend of on-premises and cloud infrastructure. We are looking for someone who champions continuous improvement, identifies potential enhancements, and proactively addresses challenges.

At Arkadium, we're driven by a passion for creating enjoyable experiences through gaming. For over two decades, we've developed some of the most beloved games around the globe, from the classic Solitaire on Windows to numerous titles available on Arkadium.com, iOS, Android, and major gaming platforms worldwide.As an Evergreen company, our core values—Fierce Drive, Positive Energy, and Living Full Lives—guide our decisions and operations. We are privately held, founder-led, and take pride in being recognized as a top workplace, ensuring a stable yet dynamic growth environment.Our accolades include recognition from 'Happiness Works' for 2023, 2024, and 2025 in Portugal, as well as 'Crain's Best Places to Work 2022' and 'Great Place to Work' in New York for 2022 and 2023!Are you ready to join the Arkadium family? We're excited to hear from you!Position OverviewWe are seeking a passionate Data Scientist interested in exploring AI and gaming to develop practical applications of Generative AI and machine learning across our gaming platforms. In this role, you'll leverage existing Large Language Models (LLMs) and fine-tuning methodologies to demonstrate the potential of our data in enhancing AI models.Your contributions will also include employing traditional machine learning techniques to enrich player experiences, enhance internal tools, and provide actionable insights for product and marketing teams.Collaboration will be key as you work closely with engineers, product managers, and analysts to transform innovative ideas into scalable AI solutions that engage millions of players globally.We welcome applicants from mid-level to senior backgrounds, provided you possess a strong enthusiasm for AI and a desire to innovate and construct impactful systems.Key ResponsibilitiesInvestigate and implement Generative AI solutions utilizing existing LLMs.Experiment with fine-tuning and adapting models for applicable use cases.Employ traditional machine learning techniques to address challenges such as player behavior analysis, recommendation systems, and marketing optimization.Prototype and assess new AI-driven features and tools.Collaborate with cross-functional teams to align business needs with data science solutions.

At Thought Machine, we are on an ambitious mission to revolutionize the banking industry by eliminating legacy technology. Our cutting-edge core and payments solutions are designed to run seamlessly in the cloud, setting new standards in modern banking.With a team of over 550 talented professionals across global hubs in London, New York, Singapore, Sydney, and our newly established Engineering Hub in Lisbon, we have experienced tremendous growth. Backed by more than £500m in funding from top-tier investors like Molten Ventures, Eurazeo, and JPMorgan Chase, we are poised for further expansion.We pride ourselves on fostering a vibrant workplace culture that inspires excellence while ensuring our team enjoys their journey. Recognized for our high Glassdoor ratings, our generous employee share package, and hailed as one of the most innovative fintech companies by Global Finance Magazine, we continue to set benchmarks in the industry.This is a full-time, permanent role based in our Lisbon office, requiring presence four days a week.As a Senior Full Stack Engineer, you will play a crucial role in our engineering-driven organization. We emphasize engineering excellence by adopting best practices and leveraging modern technologies. You will tackle complex engineering challenges that have yet to be solved, delivering code that is secure, scalable, and provides an exceptional user experience.You will take full ownership of requirements, translating them into robust engineering designs, breaking down tasks, and implementing solutions. Your responsibilities will include developing both backend services and frontend experiences tailored to the diverse needs of our clients, ranging from the world's largest financial institutions to regional banks. You will bridge the gap between back-end and front-end, creating delightful experiences that resonate with our clients.