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Mid-Senior Level
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.
Inetum Group is a leading global provider of digital services and technology solutions. We are committed to empowering our clients to achieve their business goals through innovative strategies and exceptional service. Our team is dedicated to fostering a culture of collaboration, growth, and continuous improvement, ensuring that we remain at the forefront of the digital transformation landscape.
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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 Engine…
ComplyAdvantage
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.
Inetum Group
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.
Thought Machine
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 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.
Veeva Systems Inc.
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 ethos are our core values: Integrity, Customer Success, Employee Success, and Agility. In 2021, we made history by becoming a public benefit corporation, committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we prioritize your flexibility, allowing you to thrive in the environment that suits you best, whether that be from home or in the office.Join us in transforming the life sciences sector, as we strive to create a positive impact for our customers, employees, and communities.The RoleAt Veeva Link, we are developing the intelligence framework for life sciences, creating interconnected data solutions that expedite drug development and greatly enhance patient outcomes. Our foundational belief is that merging high-quality data with cutting-edge software yields substantial value.We emphasize execution, as progress is driven by speed, precision, and quality in our daily endeavors. Our engineering philosophy focuses on clear product definitions that lead to detailed technical designs. Utilizing a modern technology stack, we ensure the delivery of reliable applications and an exceptional user experience.Our efforts are concentrated in two essential domains:Data-Driven InsightsWe create advanced applications that chart and comprehend global scientific and medical expertise, delivering impactful insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design innovative business workflows that enhance efficiency and productivity.
Kaizen Gaming
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.
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.
Veeva Systems, Inc.
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.
Thought Machine
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.
Thought Machine
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.
Thought Machine
At Thought Machine, we are on a daring mission to eliminate legacy technology from the banking sector. By developing cutting-edge core and payments technology that operates natively in the cloud, we aim to redefine the foundations of modern banking. This ambitious endeavor requires talented individuals who can collaborate effectively to create exceptional technology.Having experienced rapid growth, our team has expanded to over 550 professionals across various offices, including London, New York, Singapore, Sydney, and our newly established Engineering Hub in Lisbon. With over £500m 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 fostering a culture that encourages our team to produce outstanding work while enjoying the journey. Frequently recognized for our exceptional workplace environment, 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 among the world's most innovative fintechs by Global Finance Magazine, we were also honored by the Financial Times as one of Europe's fastest-growing companies for two consecutive years and recognized as a UK Best Employer for 2026.Software Engineering is vital to our operations at Thought Machine. We take pride in our engineering excellence, adhering to best practices and utilizing modern technologies.As a Software Engineer at Thought Machine, you will work across the entire stack, tackling complex engineering challenges that have never been addressed before. You'll be expected to write high-quality code that is scalable, secure, and performant while delivering an exceptional user experience. You will take full ownership of requirements, translating them into engineering designs, task breakdowns, and implementations. Your responsibilities will include developing both backend services and frontend experiences.Our diverse clientele includes some of the largest financial institutions in the world as well as smaller regional banks. Our systems are designed to accommodate a variety of use cases, emphasizing the importance of customizable user experiences tailored to the client's or end user's persona. Software engineers at Thought Machine are expected to bridge the gap between back-end and front-end development, crafting delightful experiences that satisfy all our clients.
Thought Machine
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.
Join our dynamic Notebooks team at Datadog as a Senior Staff AI Engineer, where your expertise in AI and machine learning will be pivotal. Our Notebooks platform empowers users to perform ad-hoc data analysis, collaborative investigations, and technical documentation seamlessly. We are currently enhancing our offerings with AI-driven workflows that facilitate natural language data analysis, assist in graph generation, and automate investigative processes. In this role, you will lead the technical efforts to design, develop, and deploy innovative AI features that set industry standards. We seek a product-focused ML engineer who possesses strong technical skills, exceptional communication abilities, and a proven history of executing impactful projects from inception to completion.At Datadog, we prioritize a collaborative office culture that fosters creativity and strong relationships. Our hybrid work model ensures that our team members can achieve an optimal work-life balance.
Kaizen Gaming
Join Kaizen Gaming as a Lead Machine Learning Engineer, where you will leverage advanced AI technologies to enhance our diverse gaming platform. In this pivotal role, you will collaborate with a talented team of Data Scientists and Engineers to create scalable Machine Learning pipelines and operationalize cutting-edge models. Your work will directly impact millions of users across 19 markets, ensuring they receive personalized gaming experiences and robust fraud detection capabilities. You will also have the opportunity to design innovative solutions, automate deployment processes, and optimize our cloud environments, fostering a culture of continuous improvement and excellence.
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 jobs from anywhere around the globe, we encourage you to apply!We take pride in fostering a diverse and inclusive team that reflects a variety of backgrounds, perspectives, and experiences. We welcome applications from all individuals, regardless of gender, ethnicity, sexual orientation, religion, civil or family status, age, or disability. Joining Remote People means becoming part of a growing, international family.Overview:We are looking for an innovative Senior AI Engineer who is eager to drive change and transformation within our organization through state-of-the-art AI technologies. You will lead the integration of AI across various departments, ensuring its responsible and impactful implementation.
remotepeople
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
Join Our Innovative Team at Air AppsAt Air Apps, we are driven by a vision of innovation and speed. As a family-founded company, our mission is to revolutionize how individuals plan their resources with the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). Since our inception in Lisbon, Portugal, in 2018, we have expanded to San Francisco and have achieved over 100 million downloads globally. Our self-funded journey reflects our commitment to crafting solutions that truly impact lives.We constantly challenge conventional methods, leveraging AI-driven technology to create meaningful products that empower users worldwide. Be a part of our quest to redefine resource management and make a difference in people's lives.Your Role as an AI/ML EngineerAs an AI/ML Engineer, you will be instrumental in the design, development, and optimization of machine learning models that enhance our mobile applications. Collaborating closely with product managers, engineers, and designers, you will help create intelligent, data-driven features that elevate user experiences. Your proficiency in artificial intelligence and deep learning will enable us to stay ahead in the competitive mobile app landscape.This posting serves to expand our talent pool as we prepare to officially launch this position. We will reach out once the job is formally posted.Key ResponsibilitiesDevelop, train, and refine machine learning models for various mobile app functionalities.Research and apply cutting-edge AI methodologies to boost user engagement and app performance.Work collaboratively with cross-functional teams to integrate AI-enhanced solutions into our products.Design and maintain robust ML pipelines to ensure effective model deployment and monitoring.Analyze large datasets to extract insights and support data-driven decisions.Stay informed on the latest AI trends and best practices, integrating them into our development workflows.Optimize AI models for mobile environments, ensuring high performance and minimal latency.
At Pipedrive, we are firm believers that exceptional talent is essential for creating outstanding products. Our team embodies our core values, and we prioritize these principles in our hiring process. Since our inception in 2010, we have dedicated ourselves to empowering sales and marketing teams with intuitive, powerful tools designed to streamline daily tasks. Today, our cloud-based software is relied upon by over 100,000 companies across 179 countries. Our journey has transformed us from a small team of five to an international workforce of over 850 professionals from more than 50 nationalities, with offices strategically located across Europe and the US. In 2020, we welcomed a majority investment from Vista Equity Partners, a leading global investment firm focused on enterprise software, data, and tech-driven businesses, positioning Pipedrive as Estonia's fifth unicorn.We are seeking a dynamic Director of R&D Operations to redefine the collaboration between our Product, Engineering, and Design (PED) teams to drive impactful results. This pivotal role will connect our strategic vision with the execution of daily R&D operations, ensuring alignment with long-term business objectives. You will work closely with senior leadership, including the Chief Product and Technology Officer (CPTO), to guarantee that our R&D investments, processes, and teams are synchronized, efficient, and prepared for growth.
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Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, or location & role pages.
