Top Machine Learning Jobs in Valencia

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.

The role involves developing core autonomy algorithms, training machine learning models, conducting tests, implementing safety criteria, and overseeing model deployment for autonomous tractors.

Manage Emiri client deployments by investigating issues, triaging root causes, coaching commercial teams, configuring and QAing client models, testing fixes, and communicating resolutions while influencing the product roadmap through user feedback.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

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.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Conduct applied PhD research combining machine learning and mathematical optimization to improve refinery and supply chain planning for process industries. Develop AI-enhanced optimization methods, ensure interoperability across industrial systems, build decision-support visualisations, and support industrial deployment and academic publications.

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

The Solutions Architect will drive NVIDIA technology adoption in the Media and Entertainment sector, focusing on AI platforms, solution architecture, and customer engagement for video analytics, content generation, and scalable solutions.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

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

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 Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

You will manage the autonomy stack for an electric tractor, from data processing to deploying machine learning models in real-world environments. Responsibilities include building data pipelines, training models, and designing testing campaigns while collaborating with a diverse team.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

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

As an Engagement Manager, you'll ensure customer success in protein R&D by building relationships, tracking metrics, and leading cross-functional teams. You'll manage enterprise accounts and advocate for customers while aligning their needs with Cradle's offerings.

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