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.

The Autonomous Engineer will manage the full autonomy stack, including data ingestion, machine learning model training, testing, and deployment for an autonomous electric tractor.

The Sales Lead will shape the sales strategy for Voltrac's agricultural product in Spain, manage the sales pipeline, conduct demos, close deals, and report on market intelligence.

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.

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.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

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 Senior Technical Product Manager will lead the LiveOps Automation team, driving strategy, collaboration, and product development for ML-powered tools that enhance player experiences across Scopely's games.

The Lead Technical Product Manager will drive the vision and strategy for LiveOps automation tools in gaming, collaborating across teams and mentoring PMs to improve operational efficiency and player experience.

The Researcher will synthesize environmental data, support projects related to climate change and sustainability, and contribute to creating actionable insights for global partners.

Manage the end-to-end product lifecycle for financial crime tools, focusing on compliance, innovation, and backlog management while liaising between engineering and business teams.

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

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.

As a Senior Product Manager, you'll lead integrations with global airlines and partners, optimize supply metrics, and implement AI solutions for automation.

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

The Data Scientist will solve real-world problems using data science, design data pipelines, implement algorithms, and collaborate across departments, with a focus on producing high-quality, maintainable code.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

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

As an AI Data Expert, evaluate AI-generated outputs, review text, analyze multimedia content, and apply cultural insights to improve model outcomes.

Develop and maintain applications using Python, focusing on integrating AI and machine learning, implementing ETL processes, and optimizing applications for performance and scalability.

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.

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