Top Machine Learning Jobs in Spain

Join Celonis's 12-month Orbit graduate program as an Associate Applied AI Engineer (Value Engineer). Support DACH customer engagements, prototype ML and LLM-based AI solutions on the Celonis Process Intelligence Platform, quantify business value, present to executives, drive change management, and collaborate with product and engineering to scale reusable AI solutions.

Lead pre-sales and delivery to define AI-driven process-mining use cases, build business cases and prototypes, govern implementation with delivery teams, and drive adoption and account growth by communicating ROI to C-level stakeholders using Celonis and ML/gen AI technologies.

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 planning, deployment, optimization and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Implement and tune ML models, build automation playbooks, integrate Falcon with customer tooling, develop scripts using Falcon APIs, support incident response and threat hunting, and deliver customer workshops and collateral.

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.

Develop AI applications and solutions to enhance business processes using the Celonis platform, focusing on prediction, simulation, and anomaly detection.

Develop AI applications focusing on prediction, simulation, and anomaly detection. Collaborate with various teams to enhance AI capabilities and improve decision making.

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.

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.

Join the Orbit 12-month graduate program as an Associate Applied AI Engineer supporting customer engagements: uncover business challenges, prototype ML and LLM solutions on the Celonis Process Intelligence Platform, deliver proof projects and executive presentations, drive value realization, collaborate with product and engineering, and travel to meet clients.

Join Celonis' Orbit program to support Benelux customers as an Associate Applied AI Engineer. Deliver proofs, prototype ML and LLM-based solutions on the Celonis Process Intelligence Platform, present quantified business value to executives, drive change management, and collaborate with Product and Engineering to scale reusable AI solutions.

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.

The internship involves setting up data processing pipelines, collaborating with clients, conducting R&D, supporting sales, and understanding product lifecycles in AI for insurance.

Lead daily reconciliations (cash, position, transaction), investigate and resolve breaks, strengthen controls and KPIs, partner with Front Office, Technology and counterparties, and drive automation/AI/process improvement to increase efficiency and resilience while maintaining audit-ready governance.

Lead day-to-day reconciliation operations ensuring cash, position and transaction breaks are investigated and resolved. Drive risk and control frameworks, partner with front office, technology and external counterparties, and champion automation, AI-enabled improvements and data-driven reporting to improve efficiency, resilience and governance.

Lead Business Analysis activities for Consumer Intelligence: shape and improve BA practices, drive demand intake and prioritization, maintain roadmap, apply agile and UAT best practices, coordinate cross-team delivery, and ensure alignment with business objectives and internal controls.

Manage end-to-end regulatory reporting (MiFID, PRIIPs, AIFMD, MMFR, CRR II, Solvency II, etc.), prepare annual fund reports, coordinate stakeholders and auditors, support IT implementations and testing, drive process improvements and automation/AI use cases, maintain controls and documentation to ensure accurate, timely and auditable reporting.

Coordinate and produce regulatory and client reporting (MiFID, PRIIPs, AIFMD, MMFR, ECB, CRR II, Solvency II, VAG), manage annual fund reports and audits, support IT implementations and automation/AI initiatives, drive process improvements and maintain control documentation while liaising with clients, auditors, regulators and internal stakeholders.

Lead and strengthen trade processing controls across the trade lifecycle, resolve complex operational issues, drive process improvements and automation (including AI/ML use cases), partner with Technology and Front Office, maintain risk and control frameworks, support global standardisation and represent TPG in cross-functional initiatives.

Lead design and adoption of the Operations Target Operating Model, govern and deliver Ops improvement initiatives (including automation and AI), quantify and track cost-to-serve impact, coordinate multi-stakeholder M&A and growth activities, and produce COO-ready strategic outputs. Own KPI frameworks, initiative prioritization, and enablement of automation/AI use cases while coaching associates and ensuring TOM adoption across Operations.

Lead and strengthen trade processing controls across the trade lifecycle, resolve complex trade exceptions, drive operational improvements and automation/AI use cases, partner with Front Office, Technology and Risk, and support global standardisation and audit-ready controls.

Lead advanced analytics for CommSec's remediation and product fulfilment squad. Design, build and deliver SQL/Python-based analytics, predictive models and Agentic AI solutions, automate reporting and controls, support remediations, collaborate with Risk and Product, and upskill the CoE in analytics and AI foundations.

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.