5 of 5 Permanent Ukrainian Language Jobs in London

located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). ...

comfortable building opportunities from the ground upA team player and strong cross-functional collaboratorMinimum Qualifications:Bachelor’s degree or equivalent preferredRussian and/or Ukrainian languageAbility to travel as needed5+ years of business development, media sales, marketing, and/or online advertising experiencePreferred Qualifications:Proven track record of acquiring ...

from the ground up A team player and strong cross-functional collaborator Minimum Qualifications: Bachelor’s degree or equivalent preferred Russian and/or Ukrainian language Ability to travel as needed 5+ years of business development, media sales, marketing, and/or online advertising experience Preferred Qualifications: Proven ...

systems, and aircraft integration Experience building internal tools for testing, automation, telemetry analysis, or operational support Background in defense, robotics, aerospace, or autonomous systems Ukrainian and English language proficiency Experience operating in fast-paced and dynamic field environments Our international teammates receive a comprehensive total rewards package aligned ...

UFORCE is a combat-systems integrator transforming Ukrainian battlefield experience into deployable defence technology for allied nations. Built by Ukrainian practitioners and global technology leaders, UFORCE brings together unmanned air, sea, and land systems, software, command-and-control, and operational expertise into one adaptive combat architecture. Our mission … Grounding DINO , open-vocabulary models, LLM steering, and human review. Design self-serve operator workflows using yes/no/maybe feedback and natural-language corrections. Create versioned datasets with lineage, data cards, label provenance, class distributions, and known gaps. Build QA methods that catch systematic pseudo-label errors ...