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RECYCLEYE

AI-powered waste sorting robotics and analytics

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeStratford, London, UKNo salary listed

About the Job

Requirements

  • At least 8 years of commercial software engineering experience, including shipping and supporting production systems.
  • Recent experience taking work from design through production and delivering with minimal oversight.
  • Strong Linux fundamentals or willingness to learn, and comfort using the command line.
  • Experience with at least two or three of Go, GStreamer, Azure or AWS/GCP, Python, and real-time or latency-sensitive systems.
  • Ability to work effectively in a very small team, self-direct, make pragmatic trade-offs, and deliver under deadline pressure.
  • Willingness and ability to travel to operational industrial sites and work hands-on with physical equipment.
  • Right to work in the UK.

Responsibilities

  • Build low-latency Go services for real-time data and control paths, minimizing latency and jitter.
  • Build, debug, and optimize GStreamer video pipelines, including camera integration, encoding and decoding, streaming, and capture.
  • Work on Azure cloud infrastructure, including virtual machines, container apps, deployment, networking, storage, and monitoring.
  • Provision and maintain edge Linux machines, including networking, systemd, containers, performance tuning, remote access, and recovery; use Ansible and Tailscale.
  • Build Python internal tools, operator interfaces, application programming interfaces, and data pipelines.
  • Occasionally work hands-on with conveyors, robotic pickers, and air-jet ejection hardware.
  • Develop graphical interfaces for industrial touchscreen human-machine interfaces.
  • Own problems end to end across the software stack, from kernel-level performance tuning to client dashboards and industrial-unit operator interfaces.
  • Participate in a support rota that is not 24/7 and is not client-facing.
  • Attend occasional site visits to UK material recovery facilities.

Desired Qualifications

  • Experience with industrial or embedded systems, programmable logic controllers, fieldbus protocols, or machine vision.
  • Understanding of electronics, microcontrollers, or printed circuit boards.
  • Experience deploying computer vision or machine-learning inference at the edge.
  • Experience with relational and columnar databases, including PostgreSQL and ClickHouse.
  • Ability to problem-solve under pressure while providing second-line support.
  • Having informed views on team processes, planning, and tools.

About the Company

RECYCLEYE

AI-powered waste sorting robotics and analytics

Recycleye provides AI-powered waste-sorting systems for Material Recovery Facilities (MRFs), retrofitting existing plants with three main products: Recycleye Vision, an AI computer-vision system that classifies items on conveyors by material, object, or brand; Recycleye Robotics, a robotic picker that sorts continuously; and Recycleye Analytics, a real-time dashboard for plant-wide decision making. The Vision system guides sorting by analyzing images at high speed, while the Robotics picker carries out the physical separation, and Analytics turns the data into actionable insights to optimize operations. The company differentiates itself with highly detailed recognition (including brands) and a tightly integrated, retrofit-capable stack that combines vision, robotics, and analytics to boost material purity and throughput. Its goal is to increase profitability and efficiency for waste operators, reduce labor costs, and advance a circular economy.

Company size
51-200
Company stage
Series A
Total funding
$24.9M
Headquarters
London, United Kingdom
Founded
2019

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