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.
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Embedded Machine Learning Engineer | ML/AI | Up to £80k in Cambridge employer: SoCode Recruitment
Join a dynamic and expanding consultancy that prioritises employee development and collaboration, making it an excellent employer for aspiring OneStream Consultants. With structured training programmes and opportunities to work on enterprise-scale transformation projects, you will be supported in your journey to becoming a specialist in a market-leading platform. The company fosters a positive work culture that values innovation and teamwork, ensuring that every team member can thrive and grow in their career.
