Top Machine Learning Jobs in Spain

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

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

Lead planning, deployment, optimization and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Implement and tune ML models, build automation playbooks, integrate Falcon with customer tooling, develop scripts using Falcon APIs, support incident response and threat hunting, and deliver customer workshops and collateral.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Join the Orbit 12-month graduate program as an Associate Applied AI Engineer supporting customer engagements: uncover business challenges, prototype ML and LLM solutions on the Celonis Process Intelligence Platform, deliver proof projects and executive presentations, drive value realization, collaborate with product and engineering, and travel to meet clients.

Join Celonis' Orbit program to support Benelux customers as an Associate Applied AI Engineer. Deliver proofs, prototype ML and LLM-based solutions on the Celonis Process Intelligence Platform, present quantified business value to executives, drive change management, and collaborate with Product and Engineering to scale reusable AI solutions.

Lead pre-sales and delivery to define AI-driven process-mining use cases, build business cases and prototypes, govern implementation with delivery teams, and drive adoption and account growth by communicating ROI to C-level stakeholders using Celonis and ML/gen AI technologies.

Design, prototype, and scale end-to-end AI and automation solutions on the Celonis Process Intelligence Platform. Engage customers pre- and post-sales, lead lighthouse projects, align AI strategy with stakeholders, influence product roadmap, and enable teams on deployment best practices.

As a Fraud Data Analyst, you will architect real-time defense strategies against payment fraud, develop precision rules, optimize decisioning stacks, and report performance metrics to senior leadership while ensuring a frictionless user experience.

Lead and grow a data science team to design, build, deploy, and monitor AI solutions (especially NLP and Generative AI/RAG). Partner with operations to identify high‑value use cases, ensure engineering and governance best practices, drive production ML/MLOps, and scale reusable, responsible AI across the bank.

As a Senior Product Manager, you'll lead integrations with global airlines and partners, optimize supply metrics, and implement AI solutions for automation.

Lead design and implementation of ECG signal‑processing algorithms and embedded software for medical devices. Develop and validate real‑time, low‑power algorithms, support design transfer to production firmware and cloud systems, ensure regulatory compliance (IEC 62304, ISO 13485, ISO 14971), and collaborate with hardware, clinical, QA/RA teams for documentation and validation.

Lead development and deployment of ML/DL image-analysis models to optimize orthodontic manufacturing and quality. Integrate models into production pipelines, refactor C++ to Python, build C# UI, work with PLC hardware, validate training results, and transfer technology across product groups.

Lead and deliver statistical support for Phase II-III clinical trials embedded with a sponsor: design input, SAP/sample size, interim/final analyses, oversight of programmers/statisticians, regulatory submissions, and collaborate cross-functionally to ensure compliant, high-quality statistical deliverables. Apply advanced statistical methods and ML/DL for analytics and process automation.

Lead design, development, and maintenance of local Knowledge Base instances. Apply knowledge representation, graph modeling, semantic indexing, and retrieval pipelines to support conversational systems and agents. Build scalable, reliable pipelines, shape graph schemas and entity resolution, collaborate with engineering/product teams, align local solutions with global standards, and contribute to evaluation and monitoring practices.

Lead end-to-end development and delivery of ML and Generative AI products that empower internal teams across operations, fraud detection, and marketing. Align roadmaps with senior leadership, partner with data science and ML engineering, define KPIs, ensure security and compliance, and create reusable AI blueprints and toolkits for other product teams.

Lead hands-on advanced analytics to design, test and optimise customer decisioning and Next Best Conversation strategies. Partner with product, marketing, risk and technology to analyse customer behaviour, build predictive models, run experiments, and translate insights into scalable, compliant decisioning solutions that drive growth and improved customer experience.

Lead data strategy and architecture to deliver Data-as-a-Product: build governance, data cataloging, self-serve models, modern data platform and AI integration; design team structure, up-skill stakeholders, and drive predictive analytics to create measurable P&L impact.

As an AI Product Manager, you will lead the AI product development lifecycle, collaborate with teams, and align AI technologies with user needs.

Join Vizzuality's talent pool to contribute to sustainability efforts through science, data, design, and project management roles. Apply with your CV and cover letter to be considered when vacancies arise.

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

Design scalable, secure enterprise architectures for Generative AI and ML solutions, validate technical feasibility via POCs, define production-ready model and inference patterns, ensure alignment with security, governance and cost targets, and provide technical leadership and reusable architecture patterns across teams.

Design scalable, secure enterprise architectures for Generative AI and ML solutions, validate technical feasibility via prototypes/POCs, define production-ready model requirements and scaling strategies, ensure alignment with governance/security, provide technical leadership and reusable architecture patterns, and evaluate/validate models and emerging AI technologies.

The Expert AI Manager oversees AI solution delivery, manages client relationships, and drives value creation through strategic engagement and stakeholder management.

The AI Project & Product Manager will connect engineering teams with business stakeholders, ensuring alignment on AI initiatives and managing project delivery throughout the AI product lifecycle.