Top Machine Learning Jobs in Valencia

Design software architecture for power-electronics products by translating high-level control models into detailed software specifications. Manage and maintain the software specifications backlog, act as product owner, collaborate with systems, product engineering, field engineers, participate in agile ceremonies, support customer-site testing, and mentor junior team members.

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

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.

Research and investigate global fraud trends using BioCatch data and external sources. Produce data-driven insights, visualizations, written thought leadership, dashboards, and presentations. Build repositories and automate analysis workflows while applying fraud expertise and AI tools to validate findings and support sales and marketing.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

Design and develop enterprise Java applications while creating, deploying, and integrating AI, machine learning, LLM, and generative AI solutions. Build APIs and integration services, contribute to software architecture and code reviews, and support public-sector digital transformation initiatives. Ensure solution quality, performance, scalability, and security across production environments.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

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.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

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.

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.

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.

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.

As a Machine Learning Engineer, you'll apply state-of-the-art techniques to projects, enhance customer experiences, and communicate results effectively.

Senior Java/Python developer to design and implement production-grade backend microservices, integrate machine learning models, improve build processes, follow secure coding and Scrum practices, write technical documentation, and work with Git-based workflows. Role is full-remote with one-week onboarding in The Hague and requires a valid work permit.

Design, develop, and maintain NLP/ML/AI software and architectures. Train and optimize ML/DL models, perform data cleaning and mining, build anomaly detection, improve machine translation, interact with data stewards, and coordinate implementation using agile practices.

Design, develop, and deploy cognitive search solutions using NLP and ML. Integrate search with existing systems and bots, build and maintain data pipelines, optimize relevance and ranking, monitor performance, and apply semantic search, embeddings, and vector databases to improve user experience.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

Design, prototype and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines and computer vision. Research and implement state-of-the-art models, build scalable products, take solutions from architecture and PoC to production, and collaborate with data science and engineering teams.