Top Machine Learning Jobs in Valencia

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

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

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Lead the development of AI-powered identity verification solutions, overseeing product strategy, collaboration across teams, and ensuring customer satisfaction.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Lead and mentor high-performing engineering teams to develop scalable, low-latency systems for real-time decision-making in payment processing.

Lead a team developing AI solutions focusing on computer vision and generative AI, integrating ML into production workflows, and ensuring ethical practices.

Oversee and manage the development and deployment of AI solutions, focusing on LLMs and AWS Cloud services while leading a team of engineers.

Develop, enhance, and maintain ML pipelines and data science solutions. Collaborate with data scientists and deploy models in production. Assist junior team members and pursue further expertise in MLOps and cybersecurity applications.

As the Lead Machine Learning Engineer, you will design and implement scalable ML systems, mentor a team, and collaborate across functions to drive ML projects, ensuring best practices and aligning goals with engineering and business needs.

The Senior IA/ML Engineer will design and develop AI solutions, build ML models, and implement MLOps practices while collaborating with a team.

The Lead ML/Analytics Engineer will develop and maintain ML systems for decision-making, owning the deployment lifecycle, collaborating with teams, and driving engineering standards with a focus on cloud infrastructure and data analytics.

As a Lead Machine Learning Engineer, you will oversee complex projects, mentor teams, drive ML practices, and shape technical strategy.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

The ML Engineer will build and refine ML models, manage experimentation environments, collaborate with teams, and ensure model performance in production.

As an ML Engineer, you will create and enhance ML models, collaborate with teams, maintain pipelines, and ensure optimal model performance.

Oversee ML team and projects focused on LLMs; design and optimize models on AWS, ensure performance and compliance, facilitate team growth.

As a Middle/Senior ML Engineer, you'll develop ML models, maintain production systems, collaborate on improvements, and document processes while leveraging cloud and ML technologies.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.