Automation Engineer at Geomiq
London E2 9DQ, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Mechanical or Industrial Engineering

Description

WE ARE MANUFACTURING THE FUTURE

Geomiq is redefining manufacturing by giving engineers worldwide instant access to reliable, scalable production methods through our digital platform. As the UK’s leading Digital Manufacturing Marketplace, we offer an AI-powered Manufacturing as a Service (MaaS) solution, seamlessly connecting buyers and suppliers to accelerate innovation and efficiency.
With our headquarters in London and quality hubs in India, China, and Portugal, we partner with global leaders including BMW, Rolls-Royce, Brompton Bikes, Google - and even support space exploration projects.
See what we do: Geomiq.com

Responsibilities

ABOUT THE ROLE

We are hiring a Automation Engineer (also suited to Product Engineer,Technical Product Engineer or Prompt Engineer backgrounds) to design, automate, and optimise the systems that power our global manufacturing network.

This is a hands-on, impact-driven role where you will:

  • Build and automate workflows that streamline operations, from quoting to delivery.
  • Work with AI and prompt engineering techniques to enhance internal tools and supplier performance systems.
  • Translate business problems into scalable technical solutions using a mix of no-code, low-code, and custom-built products.
  • You will work directly with the CEO and collaborate with Product, Data, Quality, and Operations teams across the UK, India, and China.

WHAT YOU’LL DO

  • Own and deliver supply chain optimisation tools and automation strategies.
  • Identify inefficiencies in order flow, procurement, quality control, and fulfilment, then convert them into scalable workflows.
  • Design, test, and deploy automation using Zapier, Make, Airtable, SQL, APIs, and AI-driven tools.
  • Develop and refine AI prompt frameworks for internal tools, supplier scoring, and operational forecasting.
  • Collaborate with engineers and data scientists to integrate AI and analytics into decision-making tools.
  • Translate business goals into product specifications, prioritised backlogs, and measurable outcomes.
  • Lead experiments in automation across supplier onboarding, RFQ processing, and VQC (Virtual Quality Control).
  • Track and improve KPIs including On-Time Delivery, NCR Rate, and throughput.
  • Ensure adoption of new tools and processes, delivering measurable ROI.
Loading...