TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London

AI Futures
London, GB
On-site

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
Medium
Decision Impact
Individual
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed TinyML models for microcontrollers
  • Integrated ML models with advanced embedded systems
Typical background
Embedded ML / TinyML experienceStrong background in C/C++, Python, microcontroller platforms

Transferable backgrounds

  • Coming from Machine Learning Engineer
  • Coming from Embedded Systems Developer
  • Coming from Robotics Engineer

Skills & requirements

Required

TinymlEmbedded SystemsMicrocontroller ProgrammingReal-time SensingModel OptimizationIntegration With Embedded Systems

Preferred

Experience With ARM Cortex-m, Risc-v, Custom AcceleratorsCmsis-nn, Tensorflow Lite, Edge Impulse

Stack & domain

TinymlArm Cortex-mRisc-vCustom AcceleratorsC/c++PythonCmsis-nnTensorflow LiteEdge ImpulseStm32Esp32Nordic PlatformsAIRoboticsEmbedded Systems

About the role

Original posting from AI Futures

AI Futures are partnered exclusively with the most exciting AI startup in Germany on a Search for a Tiny ML Engineer

This is a once in a lifetime opportunity to create a new industry by building the operating system for physical world intelligence. Funded by Tier 1 VCs the company are developing a new category of autonomous systems capable of delivering low-signature, persistent intelligence at scale, creating a programmable layer that connects the physical world to organisations and turns deployments into real insight. With initial applications in defence and long-term applications across security, infrastructure and industry, the company is scaling from 50 to 200 people in 2026.

The Role

  • Design, deploy & optimize TinyML models on microcontrollers (ARM Cortex-M, RISC-V, custom accelerators) used on living insect biobot systems
  • Hands on Implementation experience of TinyML on MCU's
  • Developing real-time sensing and control pipelines
  • Applying advanced optimisation techniques (quantisation, pruning, compression)
  • Integrating ML models with advanced embedded systems
  • Shaping the company’s next generation of intelligent edge platforms

The Candidate

:

  • Embedded ML / TinyML experience
  • Strong background in C/C++, Python, & microcontroller platforms
  • Experience with CMSIS-NN, Tensorflow lite, Edge Impulse
  • Background with microcontrollers such as STM32, ESP32, or Nordic platforms
  • Strong understanding of machine learning and deep learning architectures
  • Fluent English

This is an opportunity to get in at the perfect time, work on one of the most technically ambitious AI deployments ever, learn from a team of A Players and exited founders, grow with the company and get equity.

Source: AI Futures careers

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