Top Machine Learning Jobs in Barcelona

Lead the strategy, design, deployment, and scale-up of AI-powered health products across the Global South. Own product roadmaps, execution, government-system integration, stakeholder adoption, partnerships, grant development, and portfolio expansion. Collaborate with engineering, machine learning, program, and domain teams to deliver sustainable, measurable public-health impact.

Lead procurement digitalization by developing strategy and roadmap, assessing technologies (AI/ML/RPA), advising stakeholders, driving AI initiatives, improving processes, and ensuring adoption and ROI across global procurement.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

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.

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.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

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 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 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.

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.

Seeking Quantitative Finance Experts to train and evaluate AI models by assessing accuracy, reviewing responses, and providing domain-specific feedback. Requires expertise in Quantitative Finance and strong analytical skills.

Build, operate, and improve production services that deliver machine learning models within exocad’s AI Design product. Responsibilities include model serving APIs, containerized deployments, versioning, staged rollouts, rollback automation, infrastructure provisioning with Terraform and AWS, monitoring, observability, and performance tuning. The role also contributes to training and labeling infrastructure and requires collaboration across engineering, product, and global teams, including work across AWS global and China environments.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

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.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead Westernacher's Spain market by defining and executing market strategy, driving sales and profitability, and building client relationships. Split role between ~50% commercial leadership (business development, go-to-market, partner management) and ~50% delivery engagement (Project Director/Program Manager ensuring successful ERP/SAP transformations). Recruit and develop local team and ensure delivery and quality standards.

Embed with engineering clients to own full-cycle technical hiring for software, AI/ML, infrastructure and data roles. Run deep intakes, headhunt passive candidates, coach hiring managers on interview design and calibration, build hiring foundations, report on pipeline health, and use/builder recruitment AI agents to scale impact.

Design, build, and operate scalable search, retrieval, and personalization systems. Develop ML models across candidate generation to ranking, leverage embeddings and LLMs, run A/B experiments, optimize for latency and scalability, and collaborate with product and data teams to deploy robust production ML services.

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.

Build and maintain scalable backend systems that integrate real-time data, machine learning, and optimization models to optimize renewable and battery storage operations. Own architecture through deployment and maintenance, collaborate with engineers and data scientists, troubleshoot performance issues, and improve monitoring, reliability, and system performance.