Top Machine Learning Jobs in Portugal

As a Senior Applied Scientist at Chewy, you'll leverage machine learning and data science to enhance product discovery and optimize advertising solutions. Responsibilities include deploying models, collaborating with product and engineering teams, leading model development, publishing research, mentoring junior scientists, and communicating insights to leadership.

The candidate will implement machine learning and computer vision algorithms in C++, develop Python scripts for performance evaluation, and train deep learning models under the supervision of senior team members.

As a Principal/Senior Software Engineer at eClinical Solutions, you will develop and optimize AI/ML integrations for the elluminate platform, enhancing data aggregation and analytics in clinical trials. Responsibilities include designing workflows, collaborating with data science teams, participating in the software development lifecycle, and mentoring junior engineers.

In this role, you will build and evolve an AI platform by developing next-generation Large Language Models for enterprise applications. Responsibilities include applying ML methods to real-world problems, conducting LLM benchmarking, data collection, collaborating with cross-functional teams, and contributing to innovative developments and research publications.

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.

The AI Steward will manage data governance and compliance throughout the AI development lifecycle, ensuring ethical AI practices. This role involves establishing governance frameworks, collaborating with development teams, and addressing data issues to maintain safety and integrity in AI solutions.

As a Data Scientist at PNC within the C&IB organization, responsibilities include analytical tasks on vast amounts of structured and unstructured data, developing algorithms using machine learning techniques, running analytical experiments, and presenting business insights using visualization technologies. Preferred skills include Analytical Thinking, Data Mining, Machine Learning. Work experience of 3+ years in a relevant field.

The Data Architect will embed themselves in Data Product teams to support data ingestion, data engineering, design, data modeling, and machine learning. Responsibilities include leading data analysis, designing comprehensive business data products, ensuring data design and security compliance, and empowering Data Product Squads for better design paths.

The Senior Software Engineer in Machine Learning is responsible for architecting and scaling personalization and search platforms for the Max streaming app. The role involves collaborating with data scientists, contributing to machine learning systems, optimizing code, and advocating for customer-focused innovation.

As a Senior Machine Learning Engineer at CNN, you will lead the design and evaluation of ML models, work on NLP and recommendation systems, and mentor engineers. You'll collaborate with various teams to drive machine learning projects from conception to delivery while ensuring best practices in coding and model deployment are upheld.

The Senior Machine Learning Engineer will build and scale personalization and search platforms for the Max streaming app. Responsibilities include developing recommendation systems, collaborating with teams to optimize search and personalization, coding in various languages, and driving improvements in performance and operations for over 100 million users worldwide.

The Senior Staff Machine Learning Engineer at CNN will lead the design and evaluation of machine learning models and systems, focusing on open-source projects and methodologies. Responsibilities include mentoring engineers, collaborating across teams to drive ML projects, and applying advanced NLP techniques, while advocating for innovation based on data-driven insights.

The Director of Data Science will lead a team to enhance customer and advertiser experiences through machine learning models at Chewy. This involves developing data-driven solutions to improve product selection and optimization while publishing research and mentoring junior team members.

As a Principal Machine Learning Engineer, you will lead the development of recommendation systems for Disney's streaming platforms, collaborating with product and data science teams. You will research and optimize algorithms, manage stakeholder expectations, and help meet key performance indicators while setting the roadmap for personalization features.

The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.

As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.

As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.