Top Machine Learning Jobs in Valencia

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Support sales teams by utilizing technical expertise and business knowledge to align and demonstrate SailPoint solutions to meet customer needs. Engage in RFP responses, demos, and value assessments while fostering relationships with clients and partners.

As Senior Product Manager for AI Translations, you will drive product strategy, roadmap execution, and performance of AI translation solutions, collaborating cross-functionally and measuring success through KPIs and customer insights.

The Senior Technical Account Manager is responsible for ensuring customer success with Genesys solutions through relationship management, conflict resolution, and operational reviews while advocating for customer needs and driving platform adoption.

The Iberia Sales Account Manager drives sales and account management in Spain and Portugal's Banking and Financial Services market, focusing on customer relationships and strategic account plans.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

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 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.

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 Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

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

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

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

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

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality in annotations and evaluations, on a flexible and part-time basis.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

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 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 Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

Design, build, and deploy ML-powered LiveOps tools: end-to-end ML projects from data transformation and modeling to deployment, monitoring, and iteration. Collaborate with engineers, product, and LiveOps/Game Design teams to empower gameplay experiences and troubleshoot the automation tool suite.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Principal Product Manager will drive the strategy for AI-based pricing and reconciliation across travel services, manage model lifecycles, and ensure operational integrity in real-time financial data processing in collaboration with cross-functional teams.

Join Vizzuality's talent pool to contribute to sustainability efforts through science, data, design, and project management roles. Apply with your CV and cover letter to be considered when vacancies arise.