Top Machine Learning Jobs in Barcelona

Support sales teams by utilizing technical expertise and business knowledge to align and demonstrate SailPoint solutions to meet customer needs. Engage in RFP responses, demos, and value assessments while fostering relationships with clients and partners.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Join the Fintech team as a Senior Fraud Analyst, focusing on fraud prevention strategies and data analysis to improve profitability and streamline controls.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

As a Data & AI Analyst, you will develop and implement data strategies, research trends, analyze datasets, and create client presentations while collaborating with cross-functional teams.

Lead the development of AI-driven personalized learning solutions, applying deep learning and NLP while mentoring junior scientists to enhance learning experiences.

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

The HCN and MCS Contract Controller supports product management through financial responsibilities, reporting, and analytical insights related to contract manufacturing agreements.

The Product Manager will lead the strategy for matching algorithms, oversee their lifecycle, and collaborate with various teams to meet market needs.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

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 Commercial Data Analyst at Superbet, you will analyze customer behavior and product performance, framing questions and delivering insights to influence strategy across teams.

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

The Senior Product Manager will lead product initiatives, develop roadmaps, collaborate with cross-functional teams, and drive product lifecycle from ideation to launch, ensuring alignment with business goals.

The Data Scientist will develop ML models for image recognition, work on product categorization, and collaborate with engineers to deploy scalable solutions.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

Manage and deliver AI/ML projects, ensuring strategic alignment and adoption across functions. Oversee project phases and facilitate change management for AI-driven innovations.

Drive AI and Generative AI adoption in a chemical organization by leading change management initiatives, workshops, and training programs, fostering a data-driven culture.

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

As an Applied Machine Learning Engineer, you'll apply advanced analytics and machine learning techniques to optimize rewards programs and develop new initiatives, working in a multidisciplinary team and impacting millions of users.

Seeking an experienced Product Manager to enhance vendor experience on our platform, focusing on innovative tools that drive vendor success and satisfaction. Responsibilities include strategy setting, collaboration with teams, and outcome-focused execution.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.