Top Machine Learning Jobs in Israel

The NLP Data Science Researcher will develop advanced NLP, LLM, and Agentic AI systems while collaborating on analytics initiatives and transitioning prototypes to production, focusing on customer engagement solutions.

Lead development and execution of AI-driven AML products. Define strategy, roadmap, and requirements; work with engineering, data science, and design; engage customers and stakeholders; apply ML and analytics to improve detection; track KPIs and iterate on product performance.

Lead AI initiatives across Papaya Global’s platform to embed intelligent capabilities, optimize sales processes, and enhance customer experiences. Manage the product lifecycle, drive adoption, and collaborate with teams to deliver AI-powered solutions.

The Senior AI Engineer will design and develop AI products, focusing on Generative AI applications, improving NLP capabilities, and evaluating ML models.

As a Senior Backend Engineer, you will lead product ownership, solve complex problems, optimize system performance, and mentor team members while contributing to innovative fraud prevention solutions.

Lead technical domain for electronics suppliers, ensuring compliance from NPI development through manufacturing. Collaborate with engineering teams to optimize production processes.

As an Applied AI Data Scientist, you'll manage and execute projects using Machine Learning and AI to create scalable data solutions and derive insights from large datasets.

Lead the research and development of scalable machine learning systems, collaborating with cross-functional teams, and ensuring production excellence.

Senior hands-on technical leader owning end-to-end ML/AI projects: design, build, deploy and monitor production-grade systems (LLMs, RAG, recommender, agentic AI). Coach and grow a distributed data science team, align product and business stakeholders, hire locally, and ensure solution stability and business impact in a hybrid Tel Aviv environment.

We seek a Data Science Lead to tackle complex ML/AI problems, manage projects, coach a team, and drive business value through data-driven solutions.

Create and review realistic, locale-specific robotics and natural sciences tasks in Russian to benchmark AI systems. Apply scoring rubrics, evaluate AI and human responses for accuracy and regulatory alignment, and produce high-quality gold-standard solutions and expert feedback.

Develop and improve signal-processing and ML algorithms for home sleep apnea test devices, design and run feasibility experiments, and analyze clinical trial data to support product development.

Design and develop automation and integration code for end-to-end robot demonstrations; own demonstration lifecycle from scenario design through live execution; operate robots on-site, create test plans and rehearsals, integrate new capabilities with R&D teams, and provide structured feedback to drive improvements.

The NPI Manager will lead engineering teams, focusing on product readiness and NPI activities, collaborating with Product Management for successful product introductions.

As Director of AI & ML, you will lead AI/ML teams, integrate AI into product strategy, manage technical architecture, and ensure cross-organizational alignment for heart health solutions.

Arago is seeking ongoing applications for a dynamic range of roles related to AI and hardware, encouraging candidates to submit their details for consideration.

Develop algorithmic solutions in e-beam inspection, focusing on computer vision and machine learning. Involves end-to-end delivery to customers.

Lead product lifecycle for AI-powered developer tools by conducting customer discovery, defining requirements, working closely with R&D, enabling sales, tracking metrics, running experiments, and driving cross-functional launches to improve developer productivity.

As a Senior AI Engineer, you'll prototype and innovate AI-driven security systems for Tenable's product portfolio, collaborating across teams to implement scalable solutions.

Lead and grow a team of Data Scientists, managing AI and ML initiatives, while ensuring alignment with business goals and overseeing delivery standards.

The role involves designing advanced AI models for cybersecurity solutions, leading research initiatives, and mentoring data scientists, focusing on LLMs and scalable systems.

The Director of Innovation and Technological Partnership will build a technology roadmap, drive AI integration, manage tech relationships, prototype solutions, and collaborate across teams.

Lead algorithmic projects in AI, focusing on clinical decision-making. Guide teams, collaborate cross-functionally, and ensure quality in algorithm development.

Design, build, and scale a cloud-native ML platform and AI agents. Own end-to-end ML lifecycle (training, testing, deployment, monitoring), architect Kubernetes microservices with infrastructure-as-code, ensure production reliability and performance, and collaborate with engineering, data science, and product teams to align ML projects with business goals.

The Senior Product Manager will lead the development of Skai's Commerce solution, manage product strategy, collaborate with multiple teams, and represent customer needs.