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Experience Level
Entry Level
About the job
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.
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 al…
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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.
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.
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Important Notice: Fraudulent job postings can appear on various platforms. To ensure your application is considered, please apply exclusively through Sensor Tower's official website or authorized postings on sites like LinkedIn, Indeed, BuiltIn, or Hackajob. We will never request payment or financial information during the application process. All communications from Sensor Tower will come from email addresses ending with sensortower.com. Interviews will be conducted via phone or Zoom, and we will not transition conversations to any other email or text service. If you encounter any issues, feel free to reach out to us. Please include your resume with your application.To Recruitment Agencies: Sensor Tower does not accept unsolicited third-party resumes. Please refrain from sending resumes to our job aliases or to any Sensor Tower employees. We are not liable for any fees related to unsolicited applications.About the Role:Are you passionate about developing products that interact with extensive real-world data?At Sensor Tower, we handle vast amounts of data to deliver insights that thousands of clients rely on. We are seeking inquisitive and motivated early-career engineers eager to enhance their skills while collaborating on the creation of fast, reliable systems that simplify data accessibility and comprehension.You will work closely with seasoned engineers, contribute to significant features from the outset, and gain insights into the design, construction, and optimization of large-scale systems in a production environment.If you thrive on learning, solving challenges, and delivering software that users depend on, we would love to connect with you. We have a proven track record of nurturing talented juniors and this position provides a unique opportunity to work alongside senior leadership.Our Engineering PhilosophyWe adhere to the principle that 'Simplicity is crucial for reliability.' We seek engineers who share our core values:- Simplicity: We favor straightforward solutions and prefer utilizing existing tools over unnecessary complexities.- Quality: We produce code that is easy to read, understanding that code is written once but read multiple times. We prioritize quality and strive for excellence in our work.
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Role Overview ComplyAdvantage is looking for a Junior Frontend Engineer to join the team in Lisbon, Portugal. This position supports the development of SaaS-based anti-money laundering solutions that help organizations fight financial crime. The role sits within the Frontend Platform team, which builds and maintains the core features, UI components, and engineering tools used across ComplyAdvantage to deliver customer-facing products. What You Will Do Help develop and maintain UI components that support compliance officers in managing customer information. Work alongside Backend Engineers to integrate features smoothly. Collaborate with other frontend engineers to improve build, test, and deployment workflows. Join design discussions and code reviews to learn best practices for building maintainable, high-performance applications. Participate in agile ceremonies, such as stand-ups, refinements, and retrospectives, and contribute to team decisions. Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to boost productivity and code quality. What We Look For Experience or completed projects using TypeScript and React. Basic understanding of frontend testing, with interest in learning frameworks such as Vitest or Cypress. Curiosity and willingness to learn, share knowledge, and adapt to different project needs. Problem-solving skills and attention to detail when debugging or styling interfaces. Comfort participating in team discussions and contributing new ideas. Bonus Skills Familiarity with React Query for data fetching. Experience with build tools like Vite or a basic grasp of CI/CD in GitLab. Some exposure to Figma for translating designs into code. Interest in observability tools such as Grafana or Sentry for monitoring application health. Benefits Equity options to share in the company’s growth. Unlimited Time Off policy to support work-life balance and well-being. Opportunities for professional growth and development.
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 al…
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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.
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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 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.
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 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.
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 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.
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.
Join TransPerfect, a well-established company that embodies a dynamic start-up culture, and become part of a team that values creativity and entrepreneurial spirit. We are currently seeking a Junior Frontend Engineer to enhance our global team, where you will play a pivotal role in the quality, development, and execution of our software products. If you're eager to contribute to a growing organization and make a significant impact, we want to meet you!About Our TechOps Team:The TransPerfect TechOps team has been integral to our success for over a decade, delivering technology and services that have greatly improved the efficiency of our clients and colleagues. From enhancing workflows for our team members to developing foundational services for our GlobalLink platform, we focus on creating scalable client interfaces that empower users to navigate complex ecosystems seamlessly.
Important Notice: Fraudulent job postings can appear on various platforms. To ensure your application is considered, please apply exclusively through Sensor Tower's official website or authorized postings on sites like LinkedIn, Indeed, BuiltIn, or Hackajob. We will never request payment or financial information during the application process. All communications from Sensor Tower will come from email addresses ending with sensortower.com. Interviews will be conducted via phone or Zoom, and we will not transition conversations to any other email or text service. If you encounter any issues, feel free to reach out to us. Please include your resume with your application.To Recruitment Agencies: Sensor Tower does not accept unsolicited third-party resumes. Please refrain from sending resumes to our job aliases or to any Sensor Tower employees. We are not liable for any fees related to unsolicited applications.About the Role:Are you passionate about developing products that interact with extensive real-world data?At Sensor Tower, we handle vast amounts of data to deliver insights that thousands of clients rely on. We are seeking inquisitive and motivated early-career engineers eager to enhance their skills while collaborating on the creation of fast, reliable systems that simplify data accessibility and comprehension.You will work closely with seasoned engineers, contribute to significant features from the outset, and gain insights into the design, construction, and optimization of large-scale systems in a production environment.If you thrive on learning, solving challenges, and delivering software that users depend on, we would love to connect with you. We have a proven track record of nurturing talented juniors and this position provides a unique opportunity to work alongside senior leadership.Our Engineering PhilosophyWe adhere to the principle that 'Simplicity is crucial for reliability.' We seek engineers who share our core values:- Simplicity: We favor straightforward solutions and prefer utilizing existing tools over unnecessary complexities.- Quality: We produce code that is easy to read, understanding that code is written once but read multiple times. We prioritize quality and strive for excellence in our work.
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.
Join Dashlane as a Junior Frontend Software Engineer, where you'll play a vital role in creating seamless user experiences. You will collaborate with a dynamic team of developers and designers to build innovative web applications that delight users. If you're passionate about frontend technologies and eager to learn in a fast-paced environment, this is the perfect opportunity for you.
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.
Join Dashlane as a Junior Backend Software Engineer and embark on a journey to enhance user security and experience. In this role, you will collaborate with seasoned engineers to design and develop backend solutions that power our innovative password management platform.As a key member of our engineering team, you will engage in coding, debugging, and testing applications while contributing to architecture discussions. This is an excellent opportunity for those eager to learn and grow in a supportive environment.
Role Overview ComplyAdvantage is looking for a Junior Frontend Engineer to join the team in Lisbon, Portugal. This position supports the development of SaaS-based anti-money laundering solutions that help organizations fight financial crime. The role sits within the Frontend Platform team, which builds and maintains the core features, UI components, and engineering tools used across ComplyAdvantage to deliver customer-facing products. What You Will Do Help develop and maintain UI components that support compliance officers in managing customer information. Work alongside Backend Engineers to integrate features smoothly. Collaborate with other frontend engineers to improve build, test, and deployment workflows. Join design discussions and code reviews to learn best practices for building maintainable, high-performance applications. Participate in agile ceremonies, such as stand-ups, refinements, and retrospectives, and contribute to team decisions. Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to boost productivity and code quality. What We Look For Experience or completed projects using TypeScript and React. Basic understanding of frontend testing, with interest in learning frameworks such as Vitest or Cypress. Curiosity and willingness to learn, share knowledge, and adapt to different project needs. Problem-solving skills and attention to detail when debugging or styling interfaces. Comfort participating in team discussions and contributing new ideas. Bonus Skills Familiarity with React Query for data fetching. Experience with build tools like Vite or a basic grasp of CI/CD in GitLab. Some exposure to Figma for translating designs into code. Interest in observability tools such as Grafana or Sentry for monitoring application health. Benefits Equity options to share in the company’s growth. Unlimited Time Off policy to support work-life balance and well-being. Opportunities for professional growth and development.
