Top Machine Learning Jobs in Spain

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Develop and evaluate machine learning and statistical models for mobile network traffic classification, analytics, and optimization. Analyze network and telemetry data, build feature engineering and experimentation workflows, apply MLOps for deployment and monitoring, and contribute to data lake initiatives. Collaborate with engineering and international teams to translate technical questions into data-driven recommendations and solutions. The 18-month early-career program includes three rotations, international placement, and exposure to commercial and strategic business functions.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Own the strategy, roadmap, execution, and outcomes for MEDvidi’s AI Receptionist product. Lead cross-functional collaboration across Product, Engineering, Clinical, and Operations teams to improve conversational AI across chat and voice channels. Drive experimentation, evaluation, analytics, production quality, patient safety, privacy, and continuous agent improvement while translating customer and business needs into measurable product outcomes.

Develop machine learning, statistical, generative AI, and agentic solutions for home lending customer experiences. Responsibilities include customer cohort optimization, predictive modeling, experimentation, evaluation framework development, model deployment and monitoring, responsible AI, and translating complex analysis into commercial outcomes.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Lead the vision, roadmap, architecture, and execution of a centralized machine learning platform for high-volume banking applications. Own MLOps infrastructure, model evaluation, governance, monitoring, retraining, and real-time inference capabilities. Partner with engineering, data science, security, legal, and regulatory stakeholders to ensure resilient, explainable, compliant systems. Lead multi-squad initiatives, establish product practices, and mentor other Product Managers.

Drive strategy and execution for N26’s Customer Risk Lifecycle and anti-financial-crime initiatives. Responsibilities include defining segment strategy, monitoring KPIs and SLAs, optimizing workflows, evaluating business cases, managing vendors, coordinating cross-functional projects, and aligning Product, Technology, Data, Growth, and Finance stakeholders. The role requires data-driven analysis, SQL proficiency, process automation knowledge, project management skills, and comfort with compliance and regulatory topics.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Provides independent Line 2 oversight, advice, challenge, governance, reporting, and assurance for AI technology and cyber risks. The role supports responsible AI adoption, evaluates controls and change risks, advises technology and risk stakeholders, and promotes best-practice operational risk management within a financial services environment.

Drives adoption, deployment, governance, and continuous improvement of digital platforms and AI capabilities supporting Commercial and Medical teams. Partners with global product teams, vendors, business stakeholders, and compliance functions to deliver omnichannel engagement solutions, manage roadmaps and portfolios, enable analytics and personalization, and support compliant AI adoption. The role also promotes change management, training, agile practices, innovation, and measurable business impact across local markets.

Lead and grow the Money & Risk engineering team responsible for fraud prevention, risk scoring, reconciliation, settlement, and chargebacks. Own technical direction for scalable, auditable, secure payment systems across 80+ countries. Drive architecture, engineering standards, AI-assisted development, hiring, coaching, and cross-functional delivery with Product, Data, Finance, Compliance, and Operations.

Interns join Oliver Wyman’s Data and Analytics consulting team to design analytical solutions, develop prototypes, assess model effectiveness, and communicate findings to clients. Projects may involve NLP, machine learning, GenAI validation, credit risk modeling, decarbonization, promotion analytics, supply chain risk, and customer churn. The internship lasts 8–24 weeks and emphasizes teamwork, client collaboration, quantitative problem-solving, and professional development.

Interns will join Oliver Wyman’s Data & Analytics consulting team, designing analytical solutions, developing prototypes, applying machine learning and advanced analytics, validating models, and communicating findings to clients and colleagues. Projects span financial services, climate, retail, healthcare, telecommunications, and supply chain risk. The role offers coaching, international collaboration, and exposure to diverse consulting engagements.

Lead product strategy and roadmap for Memory, an agentic AI intelligence engine. Drive cross-functional delivery, commercial alignment, enterprise readiness, and measurable adoption, retention, and revenue outcomes while mentoring junior product team members.

Manage and grow a European client portfolio for a mobile and CTV advertising platform. Responsibilities include monitoring and optimizing user acquisition campaigns, achieving client KPIs, identifying business development opportunities, delivering data-driven insights, promoting product features, leading client meetings and business reviews, and representing Smadex externally.

Design and build production-grade agentic AI and ML solutions, including LLM and RAG systems, end-to-end data architectures, multi-agent workflows, guardrails, monitoring, and automated actions. Collaborate with engineering, project, and client teams to prioritize use cases, explain technical decisions, and deliver prototypes through production. Contribute to real-time data pipelines, AI evaluation, governance, and team knowledge sharing.

Build and scale Anthropic’s consulting, GSI, and AI-native partner ecosystem across Spain and MEA. Own partner strategy, investment prioritization, revenue accountability, pipeline, influenced revenue, certifications, joint proposals, business reviews, customer success, and regional go-to-market execution. Develop executive relationships, navigate regulatory and data sovereignty considerations, and collaborate across sales, product, marketing, customer success, and technical teams. The role is based in Madrid with regular international travel.

Develop and deploy AI-powered 3D graphics solutions for desktop, web, VR, and AR applications using the Evergine engine. Build computer vision and spatial computing models, including NeRF, Gaussian Splatting, point-cloud processing, SAMv2, and GroundingDINO or FlorenceV2. Design scalable algorithms, integrate machine learning frameworks, and collaborate with research and engineering teams in an Agile environment.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Leads development of machine learning, optimization, GenAI, and stochastic simulation solutions for clinical trial operations. Builds forecasting models, optimization engines, LLM applications, and explainable decision-support systems using clinical, operational, real-world, and financial data. Supports enrollment forecasting, cost estimation, site selection, protocol analysis, and operational planning. Communicates technical findings to diverse stakeholders and coaches junior colleagues.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead research on interactive avatar models and real-time generative AI video agents. Set research direction, advance multimodal perception and reaction generation, post-train diffusion models, build evaluation frameworks, define datasets, and guide research-to-production efforts. Mentor researchers and influence technical decisions across research, data, and engineering teams.

Legal Counsel will advise Quince’s UK and EU operations across commercial contracts, employment, privacy, consumer protection, AI governance, technology, logistics, product compliance, intellectual property, and risk. The role independently owns legal matters, builds processes and playbooks, supports international expansion, manages external counsel, monitors regulatory developments, and provides pragmatic guidance to cross-functional teams in a fast-growing technology-led retail business.