Top Machine Learning Jobs in Barcelona

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.

The Technical Project Manager will drive the delivery of technical features across platforms, manage project lifecycles, and facilitate communication in cross-functional teams.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

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

As an AI Director, lead AI and data programs for Specialty Chemicals, drive account growth, mentor teams, and engage C-level stakeholders strategically.

As a Senior Data Scientist at Back Market, you will design and implement machine learning models to optimize pricing strategies, collaborate with engineers, and communicate findings to stakeholders.

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.

Lead and scale a Fraud Operations team to protect marketplace financial integrity. Own roadmap, KPIs, investigation standards, chargeback management, governance, workforce planning, and cross-functional partnership with Product, Data, Payments, and Finance to improve detection and reduce financial exposure.

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

Lead and scale Joko's end-to-end B2C growth engine (acquisition, activation, retention, reactivation). Own growth budget, LTV/CAC, measurement and incrementality, identify new growth loops, scale AI across growth operations, and build a high-performing Growth team while partnering with Product and Data for rapid execution.

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.

Design, build, validate, and maintain digital twins and decision intelligence models for therapeutics development and supply. Apply data science, simulation, forecasting, optimization, and ML to support planning, capacity/resource allocation, and scenario analysis. Develop robust, reusable Python-based analytical workflows using software engineering best practices. Lead technical delivery across projects, partner with cross-functional stakeholders to embed models into decision workflows, communicate results to diverse audiences, and mentor junior colleagues and external collaborators.

Hands-on Principal Scientist in Data Science designing, building, validating, and deploying applied AI/ML and statistical models to support Therapeutics Development & Supply. Collaborates with CMC, manufacturing, quality, regulatory and data teams to deliver reproducible, production-grade analytical workflows using Python and cloud services, provides technical leadership to stakeholders and junior staff, and ensures model credibility, governance, and business impact.

As a Fraud Data Analyst, you will architect real-time defense strategies against payment fraud, develop precision rules, optimize decisioning stacks, and report performance metrics to senior leadership while ensuring a frictionless user experience.

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

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.

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.

Design scalable, secure enterprise architectures for Generative AI and ML solutions, validate technical feasibility via prototypes/POCs, define production-ready model requirements and scaling strategies, ensure alignment with governance/security, provide technical leadership and reusable architecture patterns, and evaluate/validate models and emerging AI technologies.

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 Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.