AI & Machine Learning jobs

Join a small development team working on AI and deep learning projects for advanced defense solutions. This part-time student role requires availability three days per week; no extensive prior experience is required.

Join the Data, AI, and ML teams of a financial organization to build, deploy, and operate production machine learning solutions and evolve its enterprise ML platform.

Join an automotive technology company building telematics and predictive analytics products. Own the machine learning lifecycle, from model development through production deployment and ongoing operations. The role is based in Herzliya and follows a hybrid schedule with one work-from-home day per 5+

Remote, project-based contract role assessing AI models on software engineering challenges in Dutch. Work independently and provide clear, reproducible evaluations. Contractors supply their own secure computer and reliable high-speed internet.

Contribute to a coral research and monitoring project by developing and evaluating AI methods for underwater imagery. Flexible commitment of approximately 1–4 hours per week.

Join a machine learning team building and operating real-time algorithms for a digital health platform serving the US healthcare market. The role is based in Tel Aviv with a hybrid schedule that includes two days working from home.

Lead an AI engineering and data science team, setting technical direction and delivering production-grade AI systems on AWS for enterprise customers.

Join a core team developing AI solutions for defense applications, with a focus on geospatial and tactical computer vision. Work across on-premises, cloud, and edge environments in a four-month, full-time, on-site freelance engagement.

Join a multidisciplinary team developing data-driven AI solutions and optimizing distributed sensor systems across varied operational scenarios.

Lead the architecture and hands-on development of an autonomous navigation stack for unmanned surface vessels. Set technical direction for the autonomy group and own the stack’s interfaces, safety architecture, and core design decisions.