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V7 Labs

SaaS platform unifying datasets, models, workflows

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeLondon, UK£70k - £90k /yrIn-person

About the Job

Requirements

  • Experience delivering Large Language Model projects with customers, including LLM API integration, knowledge of foundation models, solutions design and architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy.
  • Ability to code with Python.
  • Ability to develop and articulate an AI solution vision to technical and business stakeholders, customers, and partners, and match the value proposition to business needs.

Responsibilities

  • Run technical discovery, design solutions, and lead proofs of concept alongside Account Executives to close deals, then own onboarding to get customers to first value quickly.
  • Build and implement workflows within V7 Go, combining prompt engineering, data pipelines, and integrations to solve customer problems across document processing and other areas.
  • Act as the primary technical contact for accounts, handle complex challenges, and identify expansion opportunities as customers scale.
  • Manage up to 10 concurrent projects while feeding customer insights back to product and engineering.

About the Company

V7 Labs

SaaS platform unifying datasets, models, workflows

V7 Labs provides a SaaS platform that unifies datasets, models, and ML talent to manage computer-vision projects end-to-end. Its tools, including V7 Darwin for complex data annotation and V7 Go for workflow automation, cover the full ML lifecycle from labeling to deployment with AI-assisted labeling. It distinguishes itself by offering an integrated data engine that links data, models, and people in one system, serving large enterprises across healthcare, manufacturing, automotive, and more. Its goal is to accelerate AI development by streamlining data management, labeling, model training, and deployment in computer vision.

Company size
51-200
Company stage
Series A
Total funding
$50M
Headquarters
London, United Kingdom
Founded
2018

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