Top Machine Learning Jobs in Spain

Partner with Value Stream leadership to identify, evaluate, and implement AI and digitalization solutions (ML, NLP, CV, RPA, GenAI). Lead feasibility studies, proofs-of-concept, take solutions through testing and rollout, and monitor adoption. Collaborate with delivery, IT and Lean teams to ensure scalable, interpretable, and responsible AI deployments for automotive and mobility clients.

Own and deliver improvements in item and vendor recommendations by defining problem statements, success metrics, running experiments, partnering with Engineering and Data Science, and communicating outcomes to stakeholders.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

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

The Performance Engineer optimizes AI systems by benchmarking, profiling, and enhancing inference workloads for improved performance and resource efficiency.

The Power Markets Manager will analyze electricity market trends, develop price forecasting models, manage data, and support energy strategies and risk management.

The Sr. FWA Data Analyst analyzes healthcare datasets for fraud detection using SQL, collaborates with product teams, and engages stakeholders, while presenting findings.

Design and implement complex simulation architectures for A400M, Eurodrone, and UAS, with a focus on Agile development and software integration.

The AI Architect will design scalable AI solutions, manage AI models, guide data architecture, and advocate for responsible AI principles within a collaborative environment.

Drive AI and Generative AI adoption in a chemical organization by leading change management initiatives, workshops, and training programs, fostering a data-driven culture.

As a Senior Product Data Analyst, you'll analyze customer behavior and product performance to influence strategic decisions, automate reporting, and collaborate across teams.

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 a Principal Data Product Manager focused on Machine Learning and AI, you will define the product vision, manage the roadmap, and oversee cross-functional collaboration to drive data-driven solutions that enhance business outcomes.

The Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

Lead and deliver Generative AI-powered solutions for clients, manage teams, and leverage advanced AI technologies to drive business value.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Senior Product Manager will lead product initiatives, develop roadmaps, collaborate with cross-functional teams, and drive product lifecycle from ideation to launch, ensuring alignment with business goals.

The Senior Machine Learning Engineer will develop ML tools for the LiveOps Automation team, improving player experiences and guiding less experienced members.

Lead the Discovery Data Science team at Genmab, developing strategies that integrate computational methods, ML/AI into drug discovery, and managing team performance and collaborations.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Manage and deliver AI/ML projects, ensuring strategic alignment and adoption across functions. Oversee project phases and facilitate change management for AI-driven innovations.

Lead the design and deployment of analytics and machine learning models using large-scale datasets to provide insights for research evaluation and innovation.

The internship involves owning a meaningful project, collaborating globally with teams, and receiving mentorship from experienced software engineers while utilizing modern programming languages and technologies.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.