Top Machine Learning Jobs in Spain

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

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.

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.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Work on client-facing data science and analytics projects across industries: design analytical solutions, build prototypes and ML models (NLP, GenAI, credit risk), validate toolkits, and communicate results to clients and colleagues. Expect international travel, hands-on coding, and collaboration within multidisciplinary teams.

Lead end-to-end process analysis using process mining and analytics to identify inefficiencies and automation opportunities. Translate business needs into actionable use cases, build process semantics and data foundations, implement scalable solutions, and promote adoption of Process Intelligence and AI-driven automation across functions.

Write, edit, localize and proofread English-language email and social media copy for Google Nordics/Benelux; create social-first assets, run A/B test variants, collaborate with designers, developers, analytics and audience teams, and maintain brand voice and campaign documentation.

The Senior Data Scientist will analyze large datasets, develop machine learning models, optimize data processes, and create visual reports to support organizational goals, primarily in finance and telco sectors.

Lead design and implementation of advanced data science and statistical models for clinical research. Manage and mentor a team of data scientists, collaborate with clinical/biostatistics/regulatory teams, ensure regulatory-compliant data management and analysis, drive ML and predictive analytics innovation, and communicate findings to stakeholders to support clinical development decisions.

Lead and deliver advanced fraud detection and application fraud prevention models for Business Banking. Hands-on role building, optimising, and operationalising predictive models, collaborating with risk, operations, and business stakeholders to improve case prioritisation, strengthen detection, and uplift analytics capability across the organisation.

Validate, develop, and monitor machine learning and GenAI models for financial crime risk. Prepare large datasets, assess model performance and risk, transition rule-based systems to ML, apply software engineering practices, and collaborate with stakeholders on deployment and governance.

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

The Senior Product Manager will lead the Applied AI Learning team to create intelligent, personalized learning experiences by managing the product portfolio and ensuring effective utilization of data for learner progress.

Conduct applied PhD research combining machine learning and mathematical optimization to improve refinery and supply chain planning for process industries. Develop AI-enhanced optimization methods, ensure interoperability across industrial systems, build decision-support visualisations, and support industrial deployment and academic publications.

Lead LATAM transaction monitoring end-to-end: manage team performance, tune pre/post-transaction rules, partner on ML detection, oversee investigations and SAR/STR filing, coordinate regulators/audits, drive automation roadmap, and own KPIs and QA.

Serve as the named Customer Success Manager for Signature customers using Marketing Cloud, driving adoption, renewal, expansion, and technical/operational health. Build executive relationships, coordinate Signature deliverables, guide feature adoption (including agentic AI), manage high-severity incidents, and optimize platform performance during peak events. Occasional travel and after-hours availability may be required.

Lead technical delivery and product ownership for enterprise AI solutions: define strategy, translate requirements, lead AI squads across ML, data engineering, and software teams, enforce MLOps and governance, and drive deployment, adoption, and measurable business outcomes.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Design, develop, and maintain local instances of Santander's AI Knowledge Base: knowledge representation, graph schemas, entity resolution, semantic indexing, and retrieval pipelines. Work hands-on with data, engineering, and product teams to deploy scalable, reliable knowledge-driven systems for conversational agents and autonomous tooling, aligning local solutions with global standards and contributing to evaluation, monitoring, and reusable components.

Lead AI adoption across Wind Engineering by designing adoption plans, training programs, communities of practice, communications, and change management. Own AI enterprise cost budget, track adoption metrics, govern tool investments, and drive continuous improvement to embed AI into engineering workflows for measurable value.

The Technical Project Manager will drive the delivery of technical features across platforms, manage project lifecycles, and facilitate communication in cross-functional teams.

Lead strategy and roadmap for BidMachines supply-side product. Own product lifecycle, collaborate with engineering, sales, publishers and data teams, analyze supply performance, and drive features for inventory management, auction dynamics, and demand-supply matching to maximize publisher revenue and advertiser satisfaction.

Design, prototype and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines and computer vision. Research and implement state-of-the-art models, build scalable products, take solutions from architecture and PoC to production, and collaborate with data science and engineering teams.