Top Machine Learning Jobs in Spain

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

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.

Develop AI applications focusing on prediction, simulation, and anomaly detection. Collaborate with various teams to enhance AI capabilities and improve decision making.

Develop AI applications and solutions to enhance business processes using the Celonis platform, focusing on prediction, simulation, and anomaly detection.

The Director of Finance Transformation leads large-scale initiatives within finance, improving processes, enhancing efficiency, and managing transformation projects alongside senior leadership and cross-functional teams.

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 Lead Consultant will drive digital transformation for clients by developing data-driven insights and implementing AI/ML solutions to optimize business processes and enhance efficiency through the Celonis platform.

The Principal Consultant will drive digital transformation using AI, SQL, and data insights, helping clients improve their business processes through Celonis technology.

As a Data Scientist, you will develop and manage models utilizing generative AI to enhance decision-making in Institutional Banking & Markets, collaborating with stakeholders to implement AI solutions.

Lead development and application of integrative multiomics frameworks to identify biomarkers and patient subtypes. Integrate genomics, transcriptomics, proteomics, single-cell/spatial omics, imaging, QTLs and clinical data to support patient stratification, biomarker prioritization, and translational decision-making. Collaborate with discovery and clinical teams to build reusable pipelines, scalable platforms, and communicate results to stakeholders.

Lead a regional APM consulting team to deliver architecture, implementation, training, and advisory services for AspenTech APM products. Drive project technical and business success, integrate data systems, apply reliability best practices and analytics, engage customers to embed solutions, and improve internal processes and tools.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

The position requires designing and implementing simulation software architectures, developing simulation models, unit testing, and creating process improvement tools in a collaborative Agile environment.

Lead the Data Science team to develop and implement AI solutions for Risk Management, focusing on advanced analytics and machine learning.

Develop and enhance software modules, contribute to the software lifecycle, and apply agile principles to deliver structured code effectively.

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

Design, build, and deploy ML-powered LiveOps tools: end-to-end ML projects from data transformation and modeling to deployment, monitoring, and iteration. Collaborate with engineers, product, and LiveOps/Game Design teams to empower gameplay experiences and troubleshoot the automation tool suite.

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

Lead strategy and execution for Payments Performance across Fraud Prevention, Compliance decisioning, Routing, and Anomaly Detection. Define roadmap, drive ML-first automation, own platform capabilities and KPIs, run experiments, and build a product team to improve approval rates, reduce fraud and chargebacks, and increase TPV while ensuring compliance and operational resilience.

The Aerodynamics Engineer will contribute to the design of aircraft components, using numerical tools, conducting simulations, and collaborating across teams to ensure optimal aerodynamic performance and innovation.

The AI Program Manager will coordinate the delivery of AI-powered products, focusing on conversational agents to improve employee productivity and experience, managing multiple workstreams across teams to ensure alignment and scalable adoption.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

The Product Line Manager will lead the vision and strategy for Data and AI platforms, oversee product lifecycle management, and drive adoption across technical teams, ensuring products meet user needs and deliver measurable business outcomes.

The Principal Product Manager will drive the strategy for AI-based pricing and reconciliation across travel services, manage model lifecycles, and ensure operational integrity in real-time financial data processing in collaboration with cross-functional teams.