Embedded Machine Learning Engineer | ML/AI | Up to

SoCode; Impington; On-site; GBP 48,000 - 80,000; Full time

Job summary

SoCode in Cambridge is seeking an Embedded Machine Learning Engineer to develop intelligent products that combine software, electronics and machine learning. You will work on a diverse range of projects, taking ideas from concept through to finished product.

The role requires a proactive mindset and a passion for technology, with hands-on work on embedded systems and collaboration with clients to shape innovative solutions.

Qualifications

• Experience with embedded firmware/software development.
• Experience applying ML or computer vision to real-world applications.
• Familiarity with TensorFlow, TensorFlow Lite, OpenCV or PyTorch.

Responsibilities

• Develop intelligent embedded systems using Python, C and C++.
• Apply machine learning and computer vision to real-world applications.
• Work with microcontrollers, sensors and connected hardware.
• Design software architectures and deliver production-quality code.
• Collaborate with clients to shape and deliver innovative solutions.

Skills

Python

C

C++

Machine learning

Computer vision

Education

Degree in Electronic Engineering, Computer Science or related discipline

Tools

TensorFlow

TensorFlow Lite

OpenCV

PyTorch

Job description

Embedded Machine Learning EngineerCambridge | 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.

A proactive mindset and a passion for developing great technology.

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 TensorFlow, TensorFlow 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.