Top Machine Learning Jobs in Barcelona

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Analyzes adversary intrusions, malware, files, and events to create and improve machine-learning security detections. Reviews false positives and negatives, investigates emerging threats, analyzes data at scale, and coordinates with internal teams on product and service improvements. The role also addresses customer questions about detection-model efficacy and may require on-call coverage several times annually.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

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.

As a Data & AI Strategy Analyst, you'll support the development and implementation of data strategies, assist with analytics use cases, and help communicate insights through reports and visualizations.

The AI Product Owner connects engineering teams and stakeholders, translating business needs into product requirements while ensuring delivery and operational viability of AI solutions.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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 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.

Design, build, deploy, and operate ML/LLM-powered services and features. Write production-quality Python, improve observability and performance of ML services, run experiments and analyses, partner cross-functionally, and contribute to technical design and code reviews to ship scalable AI systems.

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.

Lead legal counsel for an adtech company providing commercial, product, privacy, and regulatory counsel. Negotiate complex agreements, advise on global privacy and IAB standards, support product launches and AI use cases, manage data governance and incident response, oversee corporate compliance and outside counsel, and build scalable legal operations and contract workflows.

Serve as the bridge between engineering and business to deliver AI products from PoC to production. Translate business needs into product requirements, manage planning and prioritization, challenge technical decisions for scalability, mitigate risks and dependencies, and maintain stakeholder alignment and delivery cadence across cross-functional teams.

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.

Maintain, validate, and troubleshoot production Machine Vision and Machine Learning inspection applications. Execute testing, simulation, and cybersecurity patch validation; develop automation and deployment tools; implement software modifications; collect and analyse operational data; produce test documentation and reports; and collaborate with IT Security, infrastructure, and global ML/inspection teams to sustain performance and drive continuous improvement.

Lead strategy and execution for creative products, define requirements and success metrics, prioritize with engineering and design, run experiments, collaborate cross-functionally, and drive product vision to improve creative automation, optimisation and measurement across mobile and CTV.

The Expert AI Manager oversees AI solution delivery, manages client relationships, and drives value creation through strategic engagement and stakeholder management.

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

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.

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.

The AI R&D & Effectiveness Lead will evaluate AI investments, build production-grade AI solutions, and manage AI capabilities to enhance Smadex's operational efficiency.

Lead data engineering strategy and architecture for diagnostic products. Design and optimize AWS-based data platforms and PySpark, SparkSQL, and SQL workflows; improve scalability, performance, cost efficiency, security, governance, and compliance. Provide technical leadership and mentorship, enforce engineering best practices, and partner with architects, product owners, engineers, and business stakeholders. Drive GenAI and advanced analytics initiatives, including scalable data lakes and warehouses.

Lead software product strategy, roadmap development, requirements definition, product launches, stakeholder engagement, OKRs, performance measurement, and cross-functional collaboration with engineering and business teams. The role requires translating business needs into technical product solutions, prioritizing features, documenting requirements, monitoring adoption and feedback, and driving data-informed decisions across multiple business-critical projects.