Buscar empleo: 778 ofertas de trabajo de gym en España (julio 2026)

Senior AI Engineer

hace 2 días

Madrid

ppCountry: Spain /ppbIT STARTS HERE /b Santander ( is evolving from a global, high‑impact brand into a technology‑driven organization, and our people are at the heart of this journey. Together, we are driving a customer‑centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. /ppThis is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. /ppOur mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals are expected to take a proactive and responsible approach toward risk management. /ppbTechnology at Santander: Where innovation drives business /b Being part of the Technology team at Santander means working at the heart of the Group’s transformation. Our purpose is to support the business with innovative solutions that have a real impact on customers, employees and communities. We contribute to business challenges by combining cutting‑edge technology — from cloud‑native architectures and data streaming to generative artificial intelligence — with agile and collaborative methodologies. Here, every line of code, every operational improvement and every process optimisation has a purpose, and everything we build contributes to a more inclusive, efficient and sustainable future. /ph3THE DIFFERENCE YOU MAKE /h3h3About The Foundation Models Team /h3pThe Foundation Models team is building the next generation of financial AI. Our models are purpose‑built and pre‑trained to understand the language, data, and dynamics of banking. Unlike general‑purpose models adapted for finance, they are trained from the ground up on proprietary financial data spanning transactions, credit, risk, and compliance, across multiple geographies and regulatory environments. /ppThis is a rare opportunity to do foundational research with direct production impact. The models built here will power decision systems, intelligent agents, and customer‑facing products at global scale. The team operates at the frontier of AI science, with access to financial datasets and compute resources that do not exist outside of institutions of this size. /ph3Role Responsibilities /h3pThe Senior AI Engineer: Foundation Models combines deep individual research expertise with the ability to set technical direction for a small team of engineers. The role owns the full lifecycle of domain‑specific foundation model development for banking, from architecture design and pre‑training to fine‑tuning, evaluation, and deployment. It sits at the intersection of frontier AI research and the complex, regulated reality of financial systems. /ppThe role leads the design and execution of pre‑training pipelines over large‑scale proprietary banking data, covering transaction records, credit histories, regulatory filings, and market signals, ensuring models learn representations that are both statistically powerful and domain‑faithful. Working alongside data, engineering, and product teams, the Senior AI Engineer drives fine‑tuning and adaptation strategies that align pre‑trained capabilities with specific downstream banking tasks such as credit scoring, fraud detection, risk modeling, and regulatory reporting. /ppA critical part of the role is owning the design, build, and ongoing maintenance of the cloud infrastructure that makes large‑scale model training possible: compute clusters, distributed training pipelines, containerized environments, and the orchestration systems that keep them reliable at scale. The Senior AI Engineer is expected to make principled architecture decisions about this infrastructure, not simply consume it. /ppOnce the team grows this area will be handled by a dedicated infrastructure team, but initially this will be directly managed by scientists to ensure the design fulfills their requirements. /ppA core part of the role is building rigorous evaluation frameworks for financial AI: benchmarks grounded in real banking outcomes, safety and fairness assessments tailored to regulatory requirements, and monitoring systems that ensure model reliability in production. The Senior AI Engineer contributes to shaping evaluation standards that go beyond standard ML metrics, incorporating domain validity, explainability, and compliance considerations. /ppThe role has a strong cross‑functional dimension, collaborating with risk, compliance, and business line teams to translate model capabilities into deployable solutions, and serving as an internal reference on foundation model methodology. External scientific engagement through publishing, conference participation, and collaboration with academic partners is encouraged and supported. /ppThe role might require visits to our Madrid office. /ph3Key Responsibilities /h3ulliSet technical direction for a small group of engineers working on foundation model development, providing scientific leadership, prioritization, and hands‑on guidance on the most complex problems. /liliDesign and lead the pre‑training of financial foundation models over large‑scale, multi‑modal banking datasets, including structured (tabular, time‑series) and unstructured (text, regulatory documents) data. /liliDevelop fine‑tuning and adaptation strategies using supervised fine‑tuning, LoRA, and other parameter‑efficient methods, targeting specific banking tasks across credit, fraud, risk, and compliance domains. /liliBuild, maintain, and evolve the cloud infrastructure required for large‑scale foundation model training: compute cluster provisioning on AWS, Azure, or equivalent platforms; containerized training environments using Docker; and job orchestration via Kubernetes, SLURM, or equivalent systems. /liliBuild and maintain evaluation frameworks for banking AI: task‑specific benchmarks, fairness and bias assessments, regulatory alignment checks, and out‑of‑distribution robustness tests. /liliDefine data curation, preprocessing, and tokenization strategies appropriate for financial data, including handling of sensitive, imbalanced, and temporally structured datasets. /liliWork with risk, compliance, legal, and product teams to ensure models meet regulatory expectations (GDPR, Basel III/IV, local central bank requirements) and are deployable in production banking environments. /liliStay current with and critically evaluate frontier research in large language models, multimodal architectures, and efficient training methods, translating relevant advances into the team’s roadmap. /liliPotentially contribute to the external scientific community through publications, conference presentations, and collaborative research partnerships. /li /ulh3What You’ll Bring /h3h3Required Skills Experience /h3ulli5 to 10 years of experience in machine learning product development or AI research, with a significant portion spent on large‑scale model development or applied research in production environments. /liliDemonstrated expertise in foundation model pre‑training: architecture choices, data pipelines, distributed training, and training stability at scale (transformer‑based models, LLMs, or equivalent). /liliHands‑on experience with model fine‑tuning and adaptation techniques, including full fine‑tuning, LoRA, and parameter‑efficient methods. /liliProven ability to set technical direction and provide scientific leadership to a small team of engineers. /liliDemonstrable experience designing and operating cloud infrastructure for large‑scale ML workloads, including cloud platforms (AWS, Azure, or equivalent), container environments (Docker), and job orchestration systems (Kubernetes, SLURM, or equivalent). /liliStrong programming skills in Python and proficiency with deep learning frameworks (PyTorch preferred). /liliAbility to communicate technical findings and model behavior clearly to non‑technical stakeholders including risk officers, regulators, and senior leadership. /liliFluent in English and Spanish. /li /ulh3Nice to Have /h3ulliExperience with multimodal architectures integrating structured tabular data with text or time‑series inputs. /liliPublished research track record, with peer‑reviewed contributions to top AI/ML venues. /liliKnowledge of privacy‑preserving ML techniques such as federated learning and differential privacy, relevant to cross‑border banking data. /liliPrior experience in a bank, fintech, financial regulator, or financial data provider. /liliFamiliarity with any of the following banking data domains: transaction and payments data, credit and risk data, and regulatory and compliance data. /liliFamiliarity with regulatory AI frameworks such as the EU AI Act, SR 11‑7, or equivalent model risk management guidelines. /liliExperience working within a distributed, multi‑country AI organization with global and local delivery accountability. /li /ulh3Benefits /h3ulliWe enable our teams to go beyond through global opportunities and broad career paths. /liliFlexibility that works. Enjoy a hybrid working model — some days remote, some days onsite with your team — along with flexible hours. /liliLearning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy ( /liliCompetitive rewards. Receive a highly competitive salary with performance‑based bonuses, motivating you to keep growing with us. /liliFinancial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more. /liliYour health is our priority. Through BeHealthy, our global wellness programme, we promote holistic wellbeing. /liliWe know family is everything. That’s why we offer childcare support and family‑friendly programmes tailored to each life stage. /liliGet access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services. /liliExtra benefits. Gym/WellHub membership, medical centres in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. /li /ulh3LOCAL COMPLIANCE /h3pSantander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates. /p /p #J-18808-Ljbffr

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