Embedded Machine Learning Engineer | ML/AI | Up to £80k

SoCode Limited; Stockholms kommun; On-site; SEK 951,000 - 1,162,000; Full time

Job summary

SoCode Limited is seeking an Embedded Machine Learning Engineer to build intelligent embedded systems that blend software, electronics and ML. You will tackle diverse projects from concept to finished product, delivering production-ready code and architectures.

The role involves applying ML and computer vision to real-world applications, working with microcontrollers, sensors and connected hardware, and collaborating directly with clients to shape innovative solutions.

Qualifications

• Experience in embedded firmware/software and machine learning or machine vision.
• Familiarity with common ML frameworks and CV libraries.
• Strong problem-solving and communication skills.

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 directly with clients to shape and deliver innovative solutions.

Skills

Python

C

C++

Machine Learning

Computer Vision

Education

Degree in Electronic Engineering or Computer Science

Tools

TensorFlow

TensorFlow Lite

OpenCV

PyTorch

Job description

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 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.