Senior Machine Learning Engineer at Sixt | Lisbon

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.

About the Role inetum2 is looking for a Data Engineer in Lisbon to help build and refine our data architecture. This role focuses on designing, implementing, and maintaining scalable data pipelines and databases that serve both analytical and operational needs. What You Will Do Design and develop data pipelines to handle large volumes of data Implement and maintain databases for various use cases Support data integrity and reliability across systems Work with teams to optimize data processes and architecture Location This position is based in Lisbon.

About Indicium AI Indicium AI stands at the forefront of AI innovation, partnering with the world’s leading enterprises to implement AI solutions at scale. As a global consultancy specializing in AI, we possess extensive expertise across diverse sectors including Financial Services, Energy and Utilities, Healthcare and Life Sciences, Retail and Consumer Packaged Goods, and Manufacturing. Our approach spans from strategic planning to execution, ensuring that we unlock substantial value from AI with unparalleled speed, clarity, and effectiveness. With a team of over 600 AI professionals supporting more than 50 enterprise clients across five global locations, we collaborate closely with top-tier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver cutting-edge AI solutions that yield measurable results. Opportunity We understand that the field of data is vast, and we invite candidates with diverse data backgrounds and cloud expertise, particularly those skilled in building high-quality software systems. As an outcome-focused consultancy, we seek individuals who thrive in a consultative environment, addressing challenges in a comprehensive, end-to-end manner. Our talented and diverse team hails from various backgrounds and experiences, providing a rich learning environment for all. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Identify and solve complex data challenges and opportunities at scale. Contribute to the architecture and design of intricate systems. Collaborate with clients to successfully realize their data strategies. Engage with your cross-functional team during the implementation of comprehensive solutions. Participate in internal initiatives such as blogs, technical forums, and technology practices. Drive your personal development by utilizing tools and support from Indicium AI to acquire new skills.

About Indicium AI Indicium AI is a premier AI-native consultancy, recognized by leading enterprises globally for our ability to scale AI solutions in production. We specialize in various sectors such as Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our focus extends from strategy formulation to execution, enabling organizations to unlock substantial value from AI with unparalleled speed and clarity.With a team of over 600 AI specialists serving more than 50 enterprise clients across 5 global locations, we collaborate closely with top-tier partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver cutting-edge AI solutions that make a measurable impact. About the Role As an Associate Data Engineer at Indicium AI, you will be an integral part of a dynamic team of data professionals dedicated to building scalable and dependable data solutions for prominent organizations across Europe. In this client-facing role, you will assist in the design and development of data pipelines, support data integration endeavors, and enhance your skills under the mentorship of seasoned engineers. This position presents a unique opportunity to develop solid data engineering fundamentals while making a significant impact on our clients' data platforms from day one. Key Responsibilities Data Ingestion & Integration Contribute to data ingestion workflows, extracting data from relational and NoSQL databases, REST APIs, and flat files while ensuring high standards of data quality and consistency. Pipeline Development Assist in the design and development of ELT pipelines, adhering to team standards and best practices in data engineering. Support the monitoring of pipeline executions across cloud and on-premises environments, promptly escalating issues as necessary. Storage & Warehousing Help implement and maintain data storage solutions such as Data Warehouses and Data Lakes. Write and optimize SQL queries to facilitate downstream analytics and reporting requirements. Collaboration & Documentation Engage closely with cross-functional teams, including analysts, engineers, and client stakeholders, to gather requirements and deliver tailored solutions. Ensure comprehensive documentation of pipelines, data models, and processes, fostering a culture of engineering excellence. Learning & Growth Participate in continuous learning opportunities to enhance your skills and advance your career within the data engineering domain.

Location: UK or Portugal Department: Engineering Employment Type: Permanent About YLD: At YLD, our mission is to empower our clients to continuously advance. We partner with them to cultivate the skills and capabilities necessary to outpace the competition, recognizing that our success is intrinsically linked to theirs. We are a collective of inquisitive and talented professionals dedicated to making YLD a desirable workplace for growth and retention. As a remote-first consultancy, we specialize in software engineering, product design, and data solutions. With teams spread across London, Lisbon, and Porto, we develop digital solutions that provide lasting value long after project completion. About the Role: As a Senior Data Engineer, you will collaborate with a client team to develop innovative products. We seek individuals who are curious, passionate, driven, and enthusiastic. Proficiency in problem-solving and the ability to design scalable, resilient, and fault-tolerant architectures are essential. Strong communication skills and teamwork are vital as you navigate a fast-paced engineering environment, achieving remarkable results and delivering exciting projects. About You: A Senior Data Engineer at YLD possesses advanced skills across both data engineering and analytics engineering, understanding the nuances between the two. You have experience in building data pipelines and transformation layers, have improved chaotic data projects, and possess thoughtful opinions on data team dynamics, with the flexibility to adapt these views based on context. Your passion for your craft drives you to actively learn and embrace the diverse challenges that consultancy presents: varying clients, technology stacks, and problems. Your Day-to-Day Responsibilities Will Include: Delivering data solutions on client engagements: pipelines, transformation layers, models, and supporting infrastructure. Adapting to diverse client contexts, including legacy warehouse migrations and rescuing struggling transformation layers. Defining and evolving internal standards for data work, including testing, documentation, project structure, and code reviews. Mentoring and developing data engineers within the organization. Participating in client team activities (internal presentations, learning sessions, social events) to foster strong working relationships. Contributing to proposals and aiding in shaping project approaches.

Join our dynamic team at inetum2 as a Data Analyst. In this role, you will leverage your analytical skills to interpret complex datasets, providing actionable insights that drive strategic decisions. You will collaborate with cross-functional teams to enhance data-driven strategies and improve our operational efficiency.As a Data Analyst, your key responsibilities will include data collection, processing, and analysis, as well as the creation of reports and dashboards to present findings to stakeholders. You will play a critical role in identifying trends and patterns within data that can help optimize business processes.

BPCE-SI, part of Natixis in Portugal, seeks a Lead Data Engineer based in Lisbon. This position plays a central role in shaping data architecture and driving major data initiatives throughout the organization. Key responsibilities Guide and mentor a team of data engineers as they tackle complex projects. Oversee the design and rollout of data solutions that align with business objectives. Contribute to the evolution of data strategy and architecture across the company. Encourage data-driven decision-making and work to enhance operational processes. About BPCE-SI BPCE-SI serves as the IT services arm for Groupe BPCE and operates under Natixis in Portugal. The team is dedicated to building dependable data systems that support the group’s business needs.

Join ValGenesis as a Senior Product Manager, CMC, and play a pivotal role in driving the digital validation transformation within the life sciences sector. Our innovative platform is trusted by 30 of the top 50 global pharmaceutical and biotech companies, ensuring total compliance and enhancing manufacturing excellence across product lifecycles. Discover more about the opportunities awaiting you at ValGenesis, the industry leader in paperless validation solutions for Life Sciences: ValGenesis About Us

Are you prepared to be at the leading edge of technology as a Data Engineer with Netcompany? Join us to revolutionize the data landscape!As a Data Engineer, your responsibilities will include:Architecting and executing robust data pipelines using tools such as dbt, Trino, and Spark.Conducting dimensional modeling and data transformation to enhance data usability.Creating insightful dashboards and reports, with Power BI experience considered a plus.Writing efficient SQL queries and Python scripts to facilitate data processing.Containerizing data workflows and enabling hybrid deployments for optimal flexibility.Upholding data integrity and compliance standards.Working collaboratively with developers to test and validate seamless data integrations.

We are seeking an innovative and detail-oriented Data Engineer to join our team at inetum2. In this role, you will play a pivotal part in transforming data into actionable insights, enabling our clients to make informed decisions. You will work with advanced data technologies and collaborate with cross-functional teams to ensure data integrity and availability.

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!

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 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

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.

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 GoCardless as a Fraud Prevention Data Scientist, where you'll be instrumental in fortifying our payment platform against fraud. Collaborate with a talented team of Engineers and Fraud Analysts to design and implement cutting-edge predictive models that enhance our fraud detection capabilities. Your role will encompass the entire lifecycle of machine learning solutions—from initial feature engineering to deployment in a production environment—aimed at minimizing false positives and streamlining controls. Engage with cross-functional teams to ensure our machine learning products are scalable within our Google Cloud Platform infrastructure, fostering innovation in the fintech landscape while delivering an exceptional customer experience.

Join Our Team as a Data Research Consultant in Lisbon!Are you an expert in data analysis with a focus on the Portuguese market? Do you understand the intricacies of real estate and cadastral data processes? If you have experience in the telecommunications sector or have collaborated with municipalities to gather essential information, we want to hear from you!We are seeking a passionate and analytical Data Research Consultant to join our dynamic team for a 6-month contract, with potential for extension. In this role, you will:Provide expert guidance on navigating ownership processes and relevant regulations.Deliver insightful analysis and intelligence on real estate, cadastral, and industry-specific data.Work collaboratively with our team to source and compile critical information and contacts.Effectively scale data to enhance decision-making and strategic planning.Familiarity with GIS tools would be a significant advantage in this role.We are initially considering a diverse range of candidates to find the perfect match for our needs. If this opportunity resonates with you or if you know someone who fits the criteria, we highly encourage you to apply!Let’s collaborate to overcome data challenges together. Apply or refer someone who could be a great addition to our team!

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 Devoteam as a Distributed Cloud | AI Data Architect, where you will leverage your expertise to design and implement innovative data solutions. Collaborate with cross-functional teams to enhance our cloud infrastructures and optimize AI data strategies, making a significant impact in the tech landscape.