Top Machine Learning Jobs in Lisbon

The Machine Learning Engineer will implement MLOps practices, manage model performance, collaborate with teams, and optimize machine learning pipelines.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

As a Senior Applied Machine Learning Engineer, you will develop machine learning solutions, manage project lifecycles, and integrate data into production systems.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

The MLOps Engineer is responsible for GCP setup for machine learning models, ensuring seamless deployment and optimal infrastructure, along with monitoring and compliance.

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

As an intern, you will research and implement algorithms in computer vision and machine learning, developing new features for Sony's digital imaging technology.

Design and develop machine learning models and systems, collaborate with cross-functional teams, and provide mentorship to junior members, focusing on creating impactful recommendation systems.

The Machine Learning Engineer develops AI solutions for cancer care using expertise in ML algorithms and genomic data, collaborating across teams.

Design, build, and evaluate ML solutions for Spotify's personalization products, collaborating across teams to enhance user experience and model best practices.

The Director of Machine Learning Science will lead teams in delivering ML solutions, drive innovation in search and personalization, and engage with engineering and product teams.

Assist in developing AI/ML algorithms for drone detection, support ML pipelines, and collaborate on innovative solutions with engineers and data scientists.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

The Senior Data Science Workbench Analyst leads automation and cloud optimization projects, enhances data accessibility, mentors junior engineers, and improves security for AI/ML workflows.

The Senior Data Scientist will analyze pharmacy data, develop predictive models, collaborate with stakeholders, and communicate insights to enhance patient care.

The Machine Learning Engineer will develop and deploy ML solutions, analyze data for insights, and monitor model performance to enhance products.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

The role involves overseeing machine learning model lifecycle, optimizing performance, managing CI/CD pipelines, mentoring junior engineers, and ensuring security best practices.

As a Senior Machine Learning Engineer, you'll design and deploy AI systems, collaborate on advanced projects, mentor team members, manage infrastructure, and innovate solutions for compliance-focused industries.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.