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Embedded Machine Learning Engineer | ML​/AI

Job in Impington, Cambridge, Cambridgeshire, CB21, England, UK
Listing for: SoCode Limited
Full Time position
Listed on 2026-10-13
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Embedded Software Engineer, Embedded Systems/ Firmware/ IoT
Salary/Wage Range or Industry Benchmark: 50000 - 80000 GBP Yearly GBP 50000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Embedded Machine Learning Engineer | ML/AI | Up to £80k
Location: Impington

Embedded Machine Learning Engineer Cambridge | Up to £80,000 | AI & Machine Vision

📍Cambridge
💰 Salary up to £80,000 (Depending on Experience)

Want to turn cutting-edge AI into real-world technology?
We’re partnering with an innovative engineering consultancy looking for an Embedded Machine Learning Engineer to develop intelligent products combining software, electronics and machine learning.
You’ll work on a diverse range of projects, tackling exciting engineering challenges and taking ideas from initial concept through to finished product.

What you’ll be doing :

Developing intelligent embedded systems using Python, C and C++.
Applying machine learning and computer vision to real-world applications.
Working with microcontrollers, sensors and connected hardware.
Designing software architectures and delivering high-quality production code.
Collaborating directly with clients to shape and deliver innovative solutions.

What you’ll bring:

A degree in Electronic Engineering, Computer Science or a related discipline.
Experience in embedded firmware/software and machine learning or machine vision.
Familiarity with Tensor Flow, Tensor Flow Lite, OpenCV or PyTorch.
Strong problem-solving skills and excellent communication.
A proactive mindset and a passion for developing great technology.

Why apply?
Work on varied, technically challenging projects where AI meets electronics. Take ownership, influence design decisions and see your work make the journey from concept to reality.

Ready for your next challenge? Apply today
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