Jobs / United Kingdom / Uforce

AI Specialist

Uforce · 🇬🇧 United Kingdom | Remote · Remote

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No government record and no wording either way. Not a refusal — ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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About the role

UFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed vessels, ground robotics and aircraft, autonomy software, and the command-and-control layer that operates them together. Each platform is deployable on its own, and stronger as part of the system. Its product lines include the MAGURA family of uncrewed surface vessels, the NEMESIS family of strike platforms, the LIUT family of ground robotic platforms, and counter-UAS systems. About the Role UFORCE is looking for an AI Specialist, GTM to help our go-to-market teams get more done with AI. You’ll focus primarily on Marketing and Military Exercises, with additional support for Sales and Revenue Operations. You’ll identify the most valuable problems to solve, build practical tools and automations, and help teams make them part of everyday work. This is a hands-on role for an AI-native business operator who combines business judgment, fast learning, and the ability to build. You won’t wait for a perfectly defined backlog: you’ll learn how teams work, uncover the underlying problems, and redesign workflows around what AI makes possible. You’ll own small-to-medium solutions independently and partner with our AI team on larger, more complex systems, working within architectural direction from the hiring manager. Your work will span discovery, building, testing, rollout, enablement, and measurement. Success means useful solutions that people actually adopt and that improve capacity, quality, speed, or access to information—not simply more agents, dashboards, or prototypes. Deep software-engineering experience and prior knowledge of UFORCE’s GTM model are not required. What you’ll do • Build an AI-first Marketing operating model. Redesign recurring content and campaign workflows so the team can produce more high-quality assets through reusable templates and systems rather than one-off production. Put approved messaging, claims, quality controls, and human approvals at the center of the workflow. • Improve how Military Exercises operates. Learn the team’s operating model, identify its highest-friction recurring work, and build AI-enabled workflows where they create meaningful leverage. Opportunities may include planning, coordination, participant and contact capture, preparation, follow-up, after-action insights, and handoffs into GTM systems. • Help make GTM intelligence useful in everyday work. Partner with our AI team on UFORCE’s GTM intelligence and People Graph, connecting people across emails, companies, roles, relationships, and interactions. Build appropriate components such as activity capture, account and contact context, engagement signals, CRM enrichment, and follow-up, and help teams adopt the resulting tools. • Add hands-on execution capacity for Sales and RevOps. Independently deliver small-to-medium improvements in areas such as reporting, closed-lost analysis, engagement scoring, CRM and data quality, follow-up, workflow automation, and enablement, while supporting—not duplicating—the larger programs already underway. • Turn useful solutions into normal ways of working. Own testing, rollout, lightweight training, and adoption reinforcement. Establish clear ownership and measure before-and-after impact in time, quality, capacity, or information access. Reuse shared data and capabilities, avoid tool sprawl, and make sound decisions about when to improve, scale, or stop a solution. Required Skills • Hands-on AI building. You use AI deeply in your own work and have personally built useful tools, agents, automations, analyses, or workflows. You can show what you built, how it reached users, what changed aft

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Source: Arbeitnow feed First seen: 2026-10-10 Last confirmed: 2026-10-10 How our data works → Report this job

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