Top Machine Learning Jobs in Spain

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead Consultant will drive customer digital transformation through process analysis and data-driven insights, using SQL and Celonis tools.

As a Lead Consultant at Celonis, you will drive customer digital transformation, create data-driven insights, and implement Celonis technology for optimized processes.

As an Associate Applied AI Engineer, you will support clients by developing AI solutions, executing proof projects, and collaborating on business challenges using Celonis Process Intelligence.

Assist customers with AI solutions and process mining leveraging Celonis technology. Develop prototypes, conduct presentations, and manage customer engagements.

The GenAI Ops Engineer manages AI model operations, ensuring their deployment, optimization, and scalability, while collaborating across teams to innovate generative AI solutions.

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.

Lead the development and enhancement of Retail credit risk models, ensuring compliance and utilizing data science and AI for better risk management.

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing ML models and developing benchmarks, focusing on high-performance solutions for clients.

As a Senior Product Data Scientist, you will analyze complex data to support product decisions, mentor junior staff, and collaborate with cross-functional teams to enhance product performance and metrics.

The Machine Learning Platform Engineer builds and maintains scalable machine learning features and data pipelines within a cross-functional team, ensuring robust real-time data flow and collaboration globally.

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

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The AWS Technical Account Manager collaborates with AWS sales and technical teams to deliver consultancy, manage projects, and identify growth opportunities while maintaining strong partner relationships and developing personal skills in AWS technologies.

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

The Data Engineer will implement and maintain data pipelines, support data scientists, and manage technical relationships with clients. Responsibilities include optimizing data flows and providing training to customer teams.

The Lead Project Manager (Martech) will oversee project delivery, manage multiple teams, and drive client success through strategic leadership, efficient resource management, and agile methodologies.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

The Senior Full Stack Engineer will develop software solutions, work in an Agile Scrum team, and contribute to both backend and frontend development, while leveraging cloud technologies and AI/ML frameworks.

Lead a Scrum team, develop software solutions, mentor juniors, and engage in Agile practices. Strong background in full stack development is required.

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

The Senior Product Manager will develop product vision and strategy, manage the product life cycle, coordinate teams, analyze data, and report on KPIs.

The Senior Agentic Infrastructure Engineer will lead development efforts, mentor junior developers, engage with the open source community, and shape software architecture decisions focusing on AI and Kubernetes.

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