Senior AI Engineer at Remote People | Lisbon or Remote

About Remote PeopleAt Remote People, we are dedicated to creating the infrastructure that empowers teams without borders. Our advanced technology simplifies global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone, anywhere, in a compliant manner at the push of a button.If you're passionate about helping others achieve their dream …

Role Overview remotepeople is hiring an AI Engineer to help build and refine artificial intelligence solutions. This role involves designing, implementing, and improving AI models alongside a skilled team. The work directly supports real business needs and projects. What You Will Do Collaborate with colleagues to develop and optimize AI models Apply knowledge of machine learning, natural language processing, and data analytics Contribute to projects that use AI to address practical challenges Work Location Lisbon office Remote from anywhere in Europe Who We’re Looking For Experience with AI, machine learning, or related fields Interest in solving complex problems with technology Comfort working both independently and as part of a distributed team

lastminute.com is looking for a Data Engineer in Lisbon to help strengthen its data infrastructure and analytics. This role focuses on designing, building, and maintaining data pipelines that support business intelligence and decision-making. What you will do Design and implement data pipelines for reliable data flow Maintain and improve systems that deliver accurate, timely data Collaborate with data scientists and analysts to ensure data is accessible and trustworthy Collaboration Work closely with colleagues across data science and analytics teams. Your efforts will help generate insights that inform company strategy. Location This position is based in Lisbon.

Join GoCardless as a Senior Data Scientist and play a pivotal role in transforming payment intelligence. In this position, you will work at the intersection of data and technology, collaborating with Software Engineers, Product Managers, and Designers to innovate and optimize our payment solutions. You will be responsible for the complete lifecycle of our algorithms, from conception to production-ready deployment, utilizing advanced AI techniques to enhance payment success rates and mitigate fraud. Our tech stack, primarily based on Google Cloud Platform and Vertex AI, allows you to leverage Python, SQL, and BigQuery to deploy robust models at scale.

Join Our Dynamic Team at Air AppsAt Air Apps, we embrace innovation and ambition. As a family-founded enterprise, we are on a mission to revolutionize planning with the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP). Established in Lisbon, Portugal in 2018, and now expanding to San Francisco, we’ve achieved over 100 million downloads globally while remaining self-funded.Our commitment to long-term vision drives us to disrupt the conventional, pushing the limits of AI solutions that genuinely impact lives. You will play a pivotal role in crafting products that empower individuals globally.Embark on this transformative journey with us to redefine resource management and make a difference in the lives of many.Role OverviewAs a Data Analyst at Air Apps, you will harness your analytical prowess to interpret data and drive insightful business decisions. Your expertise will contribute to creating comprehensive reports, interactive dashboards, and performance metrics, enabling teams to enhance user experiences and optimize product outcomes.This position demands a data-driven mindset, exceptional analytical skills, and proficiency with visualization tools to transform intricate data into strategic insights.Key ResponsibilitiesAnalyze user behavior, product performance, and essential business metrics to uncover trends and growth opportunities.Develop and sustain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio.Gather, refine, and organize large datasets to guarantee precision and usability.Establish and monitor KPIs for marketing, product, and business outcomes.Utilize SQL, Python, or R for data extraction, analysis, and manipulation.Collaborate with product managers, engineers, and marketing teams to deliver data-driven insights.Conduct A/B testing and experimental analysis to enhance product features and user engagement.Identify bottlenecks and opportunities within user journeys and customer funnels.Present findings clearly and persuasively to stakeholders and leadership teams.

Veeva Systems is an innovative, mission-driven organization that stands at the forefront of industry cloud solutions, empowering life sciences companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we exceeded $2 billion in revenue last fiscal year and are poised for significant future growth.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our efforts. In 2021, we made headlines by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer flexible work arrangements, whether from home or in the office, enabling you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we strive to positively impact our customers, employees, and communities.The RoleVeeva Link aspires to lead the global market in deep data solutions for life sciences. We are seeking a meticulous and skilled Data Analyst to join our dynamic product team.In this pivotal role, you will contribute to the establishment and execution of a robust data governance framework, ensuring data accuracy, completeness, and integrity. Your primary responsibilities will include setting up data quality monitoring processes, diagnosing root causes of discrepancies, and collaborating with cross-functional teams to bridge data gaps.To excel in this role, proficiency in SQL and Python for data manipulation and automation is essential. You should be adept at handling large datasets, creating informative dashboards with actionable insights, and employing statistical methods to evaluate and improve data quality.The ideal candidate will have a background in developing documentation (such as process documentation and data collection guidelines) and contributing to data governance policies and best practices.

As a Lead Data Scientist at NielsenIQ, you will spearhead innovative data-driven projects that provide actionable insights to our clients. You will lead a team of talented data scientists and collaborate with cross-functional teams to design and implement advanced analytics solutions that enhance our market understanding.

Join our dynamic team at lastminute.com as a Data Engineer, where you will play a pivotal role in enhancing the travel experience for millions of holidaymakers. If you thrive on leveraging data to drive business performance and enjoy tackling complex projects, we want to hear from you! Key Responsibilities:Architect & Build: Create and maintain scalable data pipelines and architectures on Google Cloud Platform (GCP).Innovate: Lead the adoption of cutting-edge technologies, utilizing AI to streamline data processes and uncover valuable insights.Collaborate: Work closely with internal teams and stakeholders to identify data needs and convert them into effective technical solutions.Prioritize: Balance competing demands and strategically prioritize projects to maximize business impact.Ensure Quality: Conduct rigorous testing and maintenance to ensure the reliability and scalability of our data systems.

Join Inetum, a leading innovator in digital services, where we drive growth and transformation through advanced technology solutions. We are seeking a highly skilled and motivated Senior Data Engineer to become part of our dynamic team. In this role, you will play a critical part in designing, developing, and optimizing data solutions that enhance business intelligence and analytics capabilities.If you are passionate about data, excel in collaborative settings, and relish tackling complex problems, this is your chance to make a significant impact!

At Thought Machine, we are on a transformative mission to liberate banks from the constraints of outdated technology. Our innovative core and payments technology operates natively in the cloud, laying the groundwork for modern banking solutions. Our ambitious vision demands exceptional talent collaborating to create groundbreaking technology.Having expanded rapidly in recent years, our team now comprises over 550 skilled professionals across our offices in London, New York, Singapore, Sydney, and our newly launched Engineering Hub in Lisbon. With over £500 million in funding, our esteemed investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures.We pride ourselves on nurturing a culture that fosters excellence and enjoyment, with frequent accolades for our vibrant workplace environment. Recognized by Sifted magazine for having one of the highest Glassdoor ratings among UK fintech companies, we also offer one of the industry's most generous employee share packages. Our innovative spirit has earned us a spot on Global Finance Magazine's list of the world's most innovative fintechs and recognition from the Financial Times as one of Europe's fastest-growing companies for two consecutive years.As we continue to scale, our Software Engineering team plays a crucial role in our success. We strive for engineering excellence, embracing best practices and modern technologies to drive our mission forward.As a Senior Software Engineer, you will tackle complex challenges across the technology stack, developing high-quality, scalable, secure, and performant code that enhances user experience. You will take full ownership of requirements, translating them into engineering designs, task breakdowns, and implementations, while creating both backend services and engaging frontend experiences.Our diverse clientele ranges from major global financial institutions to regional banks, requiring our systems to be adaptable and customizable for varying user needs. As a bridge between back-end and front-end development, you will craft seamless experiences that captivate our clients.

Veeva Systems is a pioneering organization with a mission to revolutionize the life sciences industry by accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we have achieved over $2 billion in revenue in the last fiscal year, with substantial growth opportunities ahead.At Veeva, our core values guide us: Do the Right Thing, Customer Success, Employee Success, and Speed. We distinguished ourselves in 2021 by becoming a public benefit corporation, which legally binds us to balance the interests of our customers, employees, society, and investors.As a Work Anywhere company, we provide the flexibility to work from home or from our offices, enabling you to excel in your preferred environment.Join us in transforming the life sciences industry, as we are dedicated to making a positive impact on our customers, employees, and communities.The RoleWe envision Veeva Link as the global leader in deep data for life sciences. We are seeking a meticulous and skilled Data Analyst to join our product team.In this position, you will be instrumental in developing and executing a robust data governance framework, ensuring data accuracy, completeness, and integrity. Your primary responsibilities will involve establishing processes for data quality monitoring, identifying root causes of discrepancies, and collaborating with cross-functional teams to address data gaps.To excel in this role, proficiency in SQL and Python for data manipulation and automation is essential. You should also be comfortable managing large datasets, designing dashboards with actionable insights, and applying statistical methods to assess and enhance data quality.The ideal candidate will have experience in creating documentation (such as process documentation and data collection guidelines) and contributing to data governance policies and best practices.

Join us at ComplyAdvantage, a premier SaaS provider transforming how fintech companies navigate intricate regulatory environments. Our innovative platform enables compliance and risk management for a diverse range of financial services firms, from burgeoning startups to established enterprises. We are committed to empowering our teams to tackle significant challenges and deliver exceptional value to our customers.Role OverviewAs a Senior Data Scientist, you will spearhead the creation and enhancement of advanced data-driven solutions aimed at detecting and preventing financial crime on a global scale. Your primary focus will be on Research & Development and Strategic Initiatives, dedicating 80% of your time to pioneering research in Machine Learning (ML), Natural Language Processing (NLP), and Agentic AI to generate measurable business impact within 3-6 month timeframes. Alongside conducting in-depth R&D, you will offer expert advisory support and technical leadership to our Product and Engineering teams. By guiding AI Enablement initiatives, you will equip these departments with the quantitative insights and frameworks required to scale impactful AI-driven features while mentoring junior team members.Key ResponsibilitiesLead R&D in GenAI and Agentic AI: Design and prototype innovative solutions for financial crime detection, emphasizing multi-agent systems and RAG architectures based on foundational LLM frameworks.Drive Production Excellence: Collaborate with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will set the standards for reliability, scalability, and ethical AI performance, ensuring that research prototypes evolve into robust, production-grade solutions.Establish Evaluation Frameworks: Lead the formulation of comprehensive evaluation methodologies for LLM and Agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.Evaluate Model Context Protocol (MCP): Investigate applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.Strategic Data Insights: Conduct advanced exploratory analysis across various data sources to uncover insights that directly inform product development decisions and agent behavior.Research & Innovation: Continuously explore and assess emerging tools and best practices in data science and Agentic AI to maintain ComplyAdvantage's leadership in the field.

Join Our Innovative Team at Air AppsAt Air Apps, we are driven by the ambition to think beyond limits and accelerate progress. Founded in Lisbon, our company is on a transformative mission to develop the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). With your talent and zeal, we can reshape how individuals plan, work, and live. Since our inception in 2018, we have grown organically, achieving over 100 million downloads globally.Our commitment to long-term innovation motivates us to challenge conventional practices daily, paving the way for AI solutions that genuinely enhance lives. Here, you'll have the opportunity to be a creative catalyst, crafting products that empower users worldwide.Embark on this exciting journey with us to revolutionize resource management and impact lives positively.Your Role as a Data EngineerAs a Data Engineer at Air Apps, you will play a crucial role in analyzing and interpreting data to generate valuable business insights and enhance product performance. You will be creating comprehensive reports, interactive dashboards, and key performance metrics that enable teams to make informed decisions and enrich user experiences.This position requires a strong analytical mindset, data-driven expertise, and proficiency with visualization tools to convert complex datasets into actionable insights.

Join our dynamic team at Sixt as a Senior Data Governance Engineer, where you will play a pivotal role in shaping our data governance strategy. You will be responsible for establishing data management policies, ensuring compliance, and enhancing data quality across various business units. This is an exciting opportunity to contribute to our innovative projects while collaborating with cross-functional teams.

At Thought Machine, our mission is ambitious: to completely eliminate legacy technology from the world's banks. We are revolutionizing modern banking with our core and payments technology that operates seamlessly in the cloud. To succeed in this challenging endeavor, we need talented individuals collaborating to create exceptional technology.In recent years, we have experienced rapid growth, expanding our team to over 550 professionals across offices in London, New York, Singapore, Sydney, and our newly established Engineering Hub in Lisbon. With over £500 million raised in funding from prominent investors including Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures, we are positioned for continued success.Our culture fosters an environment where our team can excel while enjoying their work. Recognized for having an outstanding workplace culture, we have received accolades from Sifted magazine for one of the highest Glassdoor ratings among UK fintech companies, along with the most generous employee share package. Named one of the world’s most innovative fintechs by Global Finance Magazine, we have also been acknowledged by the Financial Times as one of Europe’s fastest-growing companies for two consecutive years and as a UK Best Employer for 2026.This is a full-time, permanent role based in our Lisbon office, requiring four days a week onsite.We are seeking an enthusiastic and proactive Office Manager to join our Lisbon team.The ideal candidate will possess a positive attitude, a hands-on approach, a passion for creating an exceptional office experience, and a love for working with people. As Lisbon is a new location for Thought Machine, you will be entrusted with establishing and maintaining the office environment, ensuring an outstanding experience for all employees.Key Responsibilities:Develop and enhance the operational framework for the Lisbon office, ensuring a seamless employee experience.Proactively manage office capacity, collaborating with executives and department leads to create and sustain an optimal working environment as the team expands.Oversee all office logistics, including internal moves, deliveries, and supplier management.Manage the office budget and financials, working closely with the building management and department leads to ensure financial accountability.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences industry by leveraging cloud technology to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies ever, we recently achieved over $2 billion in revenue and continue to expand rapidly.Our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide our operations. In 2021, we made history by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we provide flexibility in your work environment, whether from home or in our office, enabling you to perform at your best.Join us in revolutionizing the life sciences sector, with a strong commitment to making a positive impact on our customers, employees, and communities.The RoleThe Link and OpenData vision aims to establish a global leadership position in deep and reference data for life sciences. Our products rely on meticulously curated data obtained through rule-based web research. We ensure high-quality data through streamlined processes. In your capacity as a Process Expert in Data Operations, you will enhance processes across our operational teams. This role includes simplifying and strengthening processes, optimizing tools, improving team interfaces, and implementing your enhancements organization-wide. You will collaborate closely with the Director of Data Operations. This position provides a unique opportunity to gain a comprehensive understanding of our data operations and familiarize yourself with the various Link and OpenData products while engaging with diverse projects and stakeholders. To excel in this role, you should possess strong conceptual thinking skills and a hands-on approach to problem-solving. You are a proactive...

About Indicium AI Indicium AI stands at the forefront of AI-driven solutions, empowering top global enterprises to harness artificial intelligence efficiently and at scale. As a prominent AI-native consultancy, we specialize in delivering transformative AI strategies across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our expertise ranges from strategic planning to implementation, ensuring we unlock substantial value from AI with unparalleled clarity and speed. With a dedicated team of over 600 AI specialists serving more than 50 enterprise clients from five global offices, we collaborate closely with industry leaders such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to drive modern AI solutions with tangible impact. ABOUT THE ROLE As a Data Engineer at Indicium AI, you will play a pivotal role in managing essential workstreams during client engagements. You will design and implement robust data solutions in production settings, navigate complex data pipelines with minimal supervision, and contribute to the automation of our infrastructure. Additionally, you will provide technical mentorship to junior team members, directly influencing the data platforms of organizations spanning financial services, retail, energy, and more. KEY RESPONSIBILITIES Pipeline Design & Development Design, develop, and maintain high-performance ELT pipelines, applying best practices in data engineering. Build and oversee data loading processes for both relational and non-relational distributed storage systems. Aggregate and transform large datasets utilizing distributed processing technologies such as Spark, Kafka, Presto, or similar. Infrastructure & Automation Provision and sustain data infrastructure using Infrastructure as Code (IaC) tools, primarily Terraform. Automate the lifecycle management of infrastructure to ensure consistent adherence to scalability, reliability, and security standards. Reliability & Governance Manage SLA monitoring for data pipelines, proactively identifying and resolving issues in both cloud and on-premises environments. Implement data access policies and quality standards in accordance with client governance requirements. Collaboration & Influence Collaborate with analysts, architects, and client stakeholders to effectively translate business needs into sound technical solutions. Contribute to technical decision-making processes and promote best practices within the team.

Join the Kaizen Gaming Team!At Kaizen Gaming, the innovative force behind Betano, we rank among the largest GameTech companies globally, with a presence in 20 markets. Our mission is to harness cutting-edge technology to deliver an unparalleled experience to the millions of customers who rely on us for their entertainment.Our diverse team comprises over 2,700 Kaizeners from 40+ nationalities across three continents. We take pride in being recognized as one of the Best Workplaces in Europe and are certified as a Great Place to Work across our offices. Here, every day offers unique challenges and opportunities. Are you ready to unlock your potential?Your Role as a GenAI Senior Data ScientistAs a GenAI Senior Data Scientist, you will spearhead our AI initiatives by analyzing data, developing Generative AI applications, and architecting advanced agentic systems. Your responsibilities include selecting optimal large language models (LLMs), conducting prompt engineering, and fine-tuning models to enhance our AI offerings. You will collaborate with cross-functional tech teams to create impactful, production-grade AI solutions. The ideal candidate will possess deep knowledge of LLMs and agentic architectures, along with a proven track record of building and deploying applications in production environments.Key Responsibilities:Translate product requirements into AI-related challenges and identify opportunities for business impact through AI.Analyze data to reveal significant patterns and derive actionable insights.Design architectures for agentic and Generative AI systems.Choose suitable models for specific tasks and optimize their performance.Conduct exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection and parameter tuning.Execute comparative experiments for model training.Evaluate various potential solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features, from data collection to model design and production optimization.Mentor junior team members, sharing knowledge and leading complex projects.

About UsAt Riskified, we empower businesses to unlock their ecommerce potential by mitigating risks. Our platform is trusted by some of the world’s leading brands and publicly traded companies to safeguard against chargebacks, combat fraud, and enhance customer loyalty. Our AI-driven fraud and risk intelligence solutions analyze interactions in real-time, offering robust identity insights that help our partners succeed in the competitive online landscape. We proudly collaborate with renowned companies across various industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.We cultivate a collaborative and dynamic work environment, where innovative ideas flourish and meaningful contributions are valued. Our commitment to teamwork and excellence drives us to make a lasting impact in the ecommerce space, making Riskified a workplace of choice.About the Role*** Please note that this position will be recruited, hired, and employed by a third party.We are in search of a skilled and passionate Senior Data Platform Engineer to enhance and maintain our core data platform products, ensuring optimal performance, scalability, and stability. As a data-driven organization, we are committed to managing an increasing influx of data daily.In this role, you will be a vital part of the Data Platform team, responsible for overseeing a large-scale production data platform that serves as the backbone of our products. You will develop self-service tools to enhance platform accessibility for users in our R&D and Analytics departments, and act as a knowledge hub, consulting and sharing your expertise with your colleagues.What You’ll Be DoingLead the development of AI-ready foundations for our data platform, focusing on data quality, contracts, observability, and self-service tools that empower machine learning and AI-driven initiatives.Manage, provision, and monitor various platform products.Enhance the application infrastructure tightly integrated with our Data Platform tools.Provide guidance to development teams and mentor fellow team members.Utilize your creativity to solve complex, high-scale data challenges.Research and evaluate new technologies, starting from POC to deployment.

Join our Unbabel division as a Data Engineering Intern and dive into the exciting world of data engineering. In this role, you will assist in designing, developing, and managing the data infrastructure and pipelines that empower Unbabel’s core products and analytics. This is a rare chance to gain hands-on experience in how large-scale language and translation data is processed, stored, and analyzed within a live, production environment.Key Responsibilities:Collaborate with data engineers and cross-functional teams to interpret business requirements and deliver effective data solutions.Assist in the development, testing, and maintenance of data pipelines (ETL) and data integrations.Optimize the efficiency and reliability of our data workflows.Contribute to the documentation of data architecture, pipelines, and processes.Gain experience working with both structured and unstructured data from diverse sources.Support data quality initiatives by monitoring, testing, and validating data.Engage in daily team standups, sprint planning sessions, and code reviews.Enhance your skills in modern data tools, programming, and cloud technologies.