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.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

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

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

Lead the development of AI-powered identity verification solutions, managing product vision, strategy, and collaboration across teams to drive product success and customer trust.

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

As a Commercial Data Analyst at Superbet, you will analyze customer behavior and product performance, framing questions and delivering insights to influence strategy across teams.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

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 AI Senior Product Manager at dLocal will define the product vision for AI tools, collaborate with engineering teams, and measure product success to drive AI adoption across the company.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

The Sales Account Manager will drive sales activities in Spain's Banking and Financial Services market, managing accounts, building relationships, and executing strategic plans to increase revenue and customer satisfaction.

The Head of Data Product will oversee the development of data products, defining strategy, leading cross-functional teams, ensuring quality, and establishing metrics for success.

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

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

Fever seeks a Senior Data Scientist to enhance decision-making through data. The role involves project life-cycle management from ideation to production, requiring collaboration across business and engineering teams.

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

As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain models in production, and document processes.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The AI/ML Engineer will fine-tune AI models, build finance-related AI features, conduct R&D, and guide teams in custom dataset building.

The AI/ML Engineer will implement AI features, build AI frameworks, fine-tune models, and conduct research to help develop innovative AI-driven products.