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

SoCode Recruitment; Cambridge; On-site; GBP 72,000 - 88,000; Full time

Job summary

SoCode Recruitment is partnering with an innovative engineering consultancy in Cambridge to seek an Embedded Machine Learning Engineer. You will develop intelligent products combining software, electronics and ML, taking ideas from concept to finished product.

You'll work on diverse projects applying Python, C and C++, with microcontrollers, sensors and connected hardware, and collaborate directly with clients to shape and deliver solutions.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C

C++

Machine learning

Computer vision

Education

Electronic Engineering

Computer Science

Tools

TensorFlow

OpenCV

TensorFlow Lite

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.