Top Machine Learning Jobs in Spain

As a Data Scientist at Skyscanner, you will build ML and statistical models for decision-making, conduct forecasting and anomaly detection, and integrate models into production workflows.

The Senior Product Manager will lead the screening algorithms strategy, manage product developments, and enhance customer migration processes while collaborating with cross-functional teams.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The Account Executive will lead enterprise sales, managing deals from outreach to closure, ensuring client satisfaction and driving adoption of Mistral's AI solutions.

The role involves delivering Data & AI solutions in Life Sciences, managing projects, engaging with clients, and contributing to methodology development.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

As a Senior Product Manager, you'll lead cross-functional teams to deliver customer strategies, enhance the app experience, and align with product goals at Monzo.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Product Manager, you'll lead the checkout experience, payment infrastructure, and new service implementations while collaborating with cross-functional teams to optimize product strategy and user experience.

The Programmatic Account Manager will oversee client portfolios, optimize mobile user acquisition campaigns, and drive key business development initiatives through strong analytical skills and client relationship management.

As an AI Engineer, you will design and scale low-latency speech/LLM pipelines and systems for AI phone agents in healthcare.

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

The Senior Specialist will enhance global trade compliance through risk management, customs governance, AI analytics, and cross-functional leadership, ensuring regulatory adherence and operational excellence.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

This role develops ML and AI services for user experiences, builds data/model pipelines, and deploys solutions, focusing on real-world problem solving

As an AI Solution Architect, you will drive the adoption of AI solutions, guide product implementation, support sales efforts, and ensure customer success while integrating GenAI technologies into client operations.

The AI Operations Analyst supports AI governance and prompt engineering, ensuring compliance, operational oversight, and collaboration across global teams.

Lead analytics and modeling for payments and fraud: analyze pay-ins/pay-outs, monitor transactions, design ML-driven fraud rules, run experiments, define KPIs, and partner with product and ML teams to improve monetization and payment workflows.

Lead Preply's new data products function: define vision and roadmap, own ML/LLM and data platform product squads, drive adoption and measurable business impact, run experimentation platform, and hire and scale a cross-functional team working across product verticals.

Develop and maintain high-performance data-driven systems, advance real-time feature engineering, and collaborate with cross-functional teams to enhance MLOps practices.

Develop and maintain ML systems in a distributed environment, enhance MLOps capabilities, collaborate with cross-functional teams, and implement solutions for critical business problems.

Lead the development and deployment of advanced AI and machine learning models, mentor junior engineers, and ensure scalability and robustness of AI solutions.

As a Senior Machine Learning Engineer, you'll build and optimize ML pipelines, automate the model lifecycle, and collaborate with cross-functional teams to integrate AI solutions into production systems.

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.