Top Machine Learning Jobs in Spain

Lead multi-stream client programs as the primary contact, ensuring outstanding delivery and strategic alignment with business goals. Manage Engagement Managers, drive account growth, and build strong relationships with senior stakeholders.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Director of Business Development will lead tech-infused growth strategies, develop proposals for the European Commission, and enhance client solutions.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As a Junior Data Scientist, you will create data-driven solutions, participate in R&D processes, and assist in operational requests using your knowledge of statistics and machine learning.

Fever seeks a Senior Data Scientist to enhance decision-making through data. The role involves project life-cycle management from ideation to production, requiring collaboration across business and engineering teams.

As a Data Scientist, you'll develop machine learning models, engage with stakeholders, and apply AI technologies to solve business problems while working collaboratively in an Agile environment.

Lead a team of AI engineers to drive innovations in healthcare technology, focusing on NLP and ML methodologies, while contributing hands-on to development.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The Marketing Models and Intelligence Manager will lead global marketing measurement, establish frameworks for effectiveness, and integrate data science insights into marketing strategies.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

Analyzes large datasets for data-driven business decisions and develops machine learning models and algorithms for practical applications.

The Ad Ops Manager will execute, optimize, and scale mobile advertising campaigns while collaborating with sales and engineering teams to drive results.

As a Machine Learning Product Manager, you will define and lead ML and Generative AI strategies, manage the product lifecycle, and ensure alignment with business objectives at InfoJobs. Your focus will be to create intelligent, scalable products that provide real value to users and stakeholders, while also fostering a learning culture within the team.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The Senior Product Manager will lead pricing capabilities evolution at LS&Co, integrating decision-making tools with machine learning for data-informed choices. Responsibilities include product vision creation, backlog management, user research, and stakeholder communication.

The Senior Machine Learning Engineer will develop ML tools for the LiveOps Automation team, improving player experiences and guiding less experienced members.

The Senior Data Analyst will analyze player performance, partner with ML Engineers, generate reports, and design statistical tests to improve game experiences.

The role involves designing and developing ML systems for game operations, ensuring performance and empowering game teams with ML capabilities.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

Lead Fever's marketing platform engineering team, oversee architecture, optimize AI-driven systems, ensure reliability and scale, and collaborate across functions.

The AIOps Engineer will modernize DevSecOps practices using AI and automation, ensuring efficient and secure deployment processes, anomaly detection, and collaboration with development teams.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

Responsible for implementing and maintaining AI chatbot applications and scalable web applications, managing Kubernetes platforms on AWS and Azure, and collaborating with stakeholders.

As a Senior Product Manager for Pricing, you will define and optimize pricing strategies for B2C and B2B segments, using data analytics and collaborating across teams to drive profitability and market growth.