Top Machine Learning Jobs in Rome

The Sales Account Manager will drive sales activities and account management in Italy's Banking and Financial Services market, focusing on tier 1 and 2 accounts, building relationships, and executing strategic plans to increase revenue.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

The Senior Solutions Consultant engages with financial institutions to deliver the RiskOps platform, managing technical sales discussions and proposal submissions while addressing client needs through solution design.

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

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

Research and implement physics-informed AI algorithms, design workflows, supervise teams, collaborate with external institutes, and publish findings.

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

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

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

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

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

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As a Machine Learning Intern, you will build and integrate ML models into cloud environments, covering the full ML pipeline and designing APIs.

The Machine Learning Engineer will build and integrate ML models, design APIs, and deploy applications in AWS while covering the entire ML pipeline.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.