Top Machine Learning Jobs in Barcelona

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Translate business problems into analytical approaches; analyze structured and unstructured data; build and maintain ETL/ELT pipelines and scalable data-processing solutions; perform data-quality checks and optimization; develop automation and analytical solutions using SQL, Python or Scala; support reporting, advanced analytics and ML use cases; collaborate with cross-functional teams and communicate findings to technical and non-technical stakeholders while managing multiple client deliverables.

Responsible for driving strategy and execution of marketplace features, optimizing the partner experience, collaborating cross-functionally, and prioritizing projects that align with business goals.

As a Senior Product Manager, you'll lead cross-functional teams to deliver customer strategies, enhance the app experience, and align with product goals at Monzo.

Design and deliver innovative, user-centric cross-platform experiences affecting millions of customers. Partner with design, PMs and engineers to build high-quality, measurable UX, leverage customer insights, A/B testing and personalization, balance quality with MVP testing strategies, and drive cross-functional collaboration.

As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.

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.

Lead implementation of AI governance frameworks and policies, ensure regulatory alignment (e.g., NIST AI RMF, EU AI Act), perform AI risk assessments and mitigation, coordinate with AI/ML engineers on asset management, support reporting and disclosures, and advise cross-functional stakeholders on responsible AI practices.

Lead the technical and product vision for the UA DSP, unifying Data Science, Data Engineering, Analytics, BI, and bidding/prediction backend. Own roadmap from bidding/prediction to reporting, manage and grow a ~20-person cross-functional team, partner with GTM and sales, and drive transition from managed-service to self-service advertiser tooling.

As an AI Product Manager, you'll shape the AI product roadmap, collaborate with cross-functional teams, and ensure AI technologies meet user needs and business objectives.

The Independent Board Director will provide strategic guidance and insights on performance advertising technology, particularly related to DSP strategy, ML optimization, and advertiser growth.

Seeking an independent board director with expertise in ML-driven products and data platforms. The role focuses on guiding the company's data-driven culture and product strategies, not on day-to-day operations.

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 Senior Product Manager will lead the Applied AI Learning team to create intelligent, personalized learning experiences by managing the product portfolio and ensuring effective utilization of data for learner progress.

Lead LATAM transaction monitoring end-to-end: manage team performance, tune pre/post-transaction rules, partner on ML detection, oversee investigations and SAR/STR filing, coordinate regulators/audits, drive automation roadmap, and own KPIs and QA.

Lead AI adoption across Wind Engineering by designing adoption plans, training programs, communities of practice, communications, and change management. Own AI enterprise cost budget, track adoption metrics, govern tool investments, and drive continuous improvement to embed AI into engineering workflows for measurable value.

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

Lead strategy and roadmap for BidMachines supply-side product. Own product lifecycle, collaborate with engineering, sales, publishers and data teams, analyze supply performance, and drive features for inventory management, auction dynamics, and demand-supply matching to maximize publisher revenue and advertiser satisfaction.

Senior leader owning vision, strategy and roadmap for enterprise AI products and platforms. Leads complex delivery programmes, governance, budgeting, benefits tracking and cross-functional teams to deliver compliant, secure, scalable AI capabilities and adoption across the organisation.

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

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.