Top Machine Learning Jobs in Lisbon

As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models to assess business risks using diverse data sources. You will have ownership of your projects and collaborate closely with Product Management and Software Engineers in a fast-paced environment.

The Senior Data Scientist will support the DoD's adoption of data and AI by designing and optimizing machine learning models, collaborating with cross-functional teams, managing AI/ML components, and addressing data challenges for defense and intelligence functions.

As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The Sr. Data Architect at McKesson is responsible for designing and implementing data architecture solutions that support business goals. This role involves collaborating with stakeholders, ensuring data integrity, and driving innovation through advanced analytics and cloud technologies. The architect will manage data design deliverables and tackle complex data-related problems with strategic solutions.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models, analyzing vast amounts of structured and unstructured data to assess business risks. Responsibilities include collaborating with Product Management and Software Engineers and driving project direction within a two-week sprint framework.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.

Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.

As a Manager of Data Analytics, you'll lead a team of data analysts, develop analytics frameworks, present findings to stakeholders, and collaborate with various teams to guide data-driven decisions. Responsibilities include mentoring staff, ensuring data privacy compliance, and staying updated with industry developments.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks using large datasets. Responsibilities include project ownership, collaborating with product management, and working within two-week sprints.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models at scale. This involves turning large datasets into insights regarding business risks while working collaboratively with product management and software engineers in a fast-paced two-week sprint environment.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The Senior Analytics Manager will analyze data to support TV and streaming campaign design, provide insights for client strategy, and manage a small team of analysts, ensuring growth through innovative analytical approaches.

The Sr. Risk Management Analyst at Visa will analyze payment data to identify fraud trends and develop strategies to mitigate these risks. The role involves communicating with clients, optimizing payment acceptance through automation and machine learning, and leveraging internal tools to enhance reporting and analysis.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.