Top Machine Learning Jobs in Seville

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 a Threat Analyst II, you will analyze adversary intrusions, create ML-based security detections, and address customer requests regarding detection efficacy, focusing on proactive and reactive detection engineering.

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 Scientist, Translational IPS will analyze multi-omics data to understand disease mechanisms, support drug development strategies, and communicate findings to stakeholders.

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

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.

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.

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

Lead AI strategy and roadmap for Observability, embedding LLMs, RAG, vector search, and ML into log analytics, incident investigation, and SRE workflows. Partner with engineering, UX, sales, and customers to deliver AI-driven features, validate solutions, and drive adoption.

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

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

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.

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.

This role involves developing and training advanced machine learning models in a collaborative environment, focusing on biomedical research applications, particularly in drug discovery processes.

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.

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.

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.