Top Machine Learning Jobs in Spain

Define and lead multi-year enterprise identity and IGA strategy, architect SailPoint-based EIM solutions at global scale, enforce identity architecture and standards, pioneer emerging identity technologies, mentor senior engineers, and lead Tier 4 escalation and root-cause analysis to support zero-trust initiatives across multi-cloud environments.

Translate business problems into analytical approaches; analyze structured and unstructured data; build and maintain ETL/ELT pipelines and scalable data-processing solutions; perform data-quality checks and optimization; develop automation and analytical solutions using SQL, Python or Scala; support reporting, advanced analytics and ML use cases; collaborate with cross-functional teams and communicate findings to technical and non-technical stakeholders while managing multiple client deliverables.

As a Senior Data Scientist, you will lead impactful projects using statistical and machine learning models, collaborating with various teams to derive business insights and enhance urban mobility.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Design and deliver innovative, user-centric cross-platform experiences affecting millions of customers. Partner with design, PMs and engineers to build high-quality, measurable UX, leverage customer insights, A/B testing and personalization, balance quality with MVP testing strategies, and drive cross-functional collaboration.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

The Senior AI Architect will lead AI architecture design to enhance efficiency and transformation, serving as a technical authority to scale AI adoption effectively across teams.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead architectural strategy for large, multiyear enterprise CX and CCaaS transformations. Act as senior technical advisor, set AI/data/omnichannel standards, resolve complex integrations, influence product roadmap, establish reference architectures, and mentor senior SA teams.

Design, build, deploy, and continuously improve production-grade machine learning systems for a proactive AI platform. Own projects end to end, including data curation, model training, evaluation, inference, monitoring, troubleshooting, and optimization. Translate research into reliable systems while balancing latency, cost, safety, and scalability. Collaborate with research, engineering, and product teams, mentor engineers, and drive complex initiatives independently.

Design software architecture for power-electronics products by translating high-level control models into detailed software specifications. Manage and maintain the software specifications backlog, act as product owner, collaborate with systems, product engineering, field engineers, participate in agile ceremonies, support customer-site testing, and mentor junior team members.

The Independent Board Director will provide strategic guidance and insights on performance advertising technology, particularly related to DSP strategy, ML optimization, and advertiser growth.

Seeking an independent board director with expertise in ML-driven products and data platforms. The role focuses on guiding the company's data-driven culture and product strategies, not on day-to-day operations.

As an AI Product Manager, you'll shape the AI product roadmap, collaborate with cross-functional teams, and ensure AI technologies meet user needs and business objectives.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Lead the technical and product vision for the UA DSP, unifying Data Science, Data Engineering, Analytics, BI, and bidding/prediction backend. Own roadmap from bidding/prediction to reporting, manage and grow a ~20-person cross-functional team, partner with GTM and sales, and drive transition from managed-service to self-service advertiser tooling.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Senior Java/Python developer to design and implement production-grade backend microservices, integrate machine learning models, improve build processes, follow secure coding and Scrum practices, write technical documentation, and work with Git-based workflows. Role is full-remote with one-week onboarding in The Hague and requires a valid work permit.

Design, develop, and maintain NLP/ML/AI software and architectures. Train and optimize ML/DL models, perform data cleaning and mining, build anomaly detection, improve machine translation, interact with data stewards, and coordinate implementation using agile practices.

Design, develop, and deploy cognitive search solutions using NLP and ML. Integrate search with existing systems and bots, build and maintain data pipelines, optimize relevance and ranking, monitor performance, and apply semantic search, embeddings, and vector databases to improve user experience.

The internship involves setting up data processing pipelines, collaborating with clients, conducting R&D, supporting sales, and understanding product lifecycles in AI for insurance.

Lead daily reconciliations (cash, position, transaction), investigate and resolve breaks, strengthen controls and KPIs, partner with Front Office, Technology and counterparties, and drive automation/AI/process improvement to increase efficiency and resilience while maintaining audit-ready governance.

Lead day-to-day reconciliation operations ensuring cash, position and transaction breaks are investigated and resolved. Drive risk and control frameworks, partner with front office, technology and external counterparties, and champion automation, AI-enabled improvements and data-driven reporting to improve efficiency, resilience and governance.

Manage end-to-end regulatory reporting (MiFID, PRIIPs, AIFMD, MMFR, CRR II, Solvency II, etc.), prepare annual fund reports, coordinate stakeholders and auditors, support IT implementations and testing, drive process improvements and automation/AI use cases, maintain controls and documentation to ensure accurate, timely and auditable reporting.

Coordinate and produce regulatory and client reporting (MiFID, PRIIPs, AIFMD, MMFR, ECB, CRR II, Solvency II, VAG), manage annual fund reports and audits, support IT implementations and automation/AI initiatives, drive process improvements and maintain control documentation while liaising with clients, auditors, regulators and internal stakeholders.