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- Tasks: Develop and optimise embedded vision algorithms for real-time safety applications.
- Company: Join a leading Edinburgh tech firm revolutionising automotive safety with AI-driven vision systems.
- Benefits: Enjoy a fully remote role with a competitive salary and the chance to work on cutting-edge technology.
- Why this job: Be part of a pioneering team making roads safer through innovative AI solutions.
- Qualifications: Strong background in embedded software engineering and experience with AI/machine learning for vision systems required.
- Other info: This is a rare fully remote opportunity, perfect for tech enthusiasts looking to make an impact.
The predicted salary is between 56000 - 84000 £ per year.
Embedded Machine Vision Engineer – Remote Salary: £70,000 – £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards, and safety risks. This is the first fully remote role KO2 has seen this year – a rare and exciting opportunity to join a company doing cutting-edge embedded vision and AI work, from anywhere in the UK. The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software, hardware, and certification engineersRe…
Embedded Machine Vision Engineer employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded Machine Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in embedded vision systems and AI. Understanding the specific technologies and methodologies used in the industry will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the embedded systems and AI fields. Join relevant online forums, attend webinars, or participate in local meetups to connect with others who can provide insights or even refer you to opportunities.
✨Tip Number 3
Showcase your practical experience with C/C++ and AI/ML models in your discussions. Be prepared to discuss specific projects where you've developed real-time algorithms or worked with near-IR camera sensors, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Research the company’s recent projects and innovations in embedded vision technology. Being knowledgeable about their work will not only impress them but also allow you to tailor your responses to align with their goals and values.
We think you need these skills to ace Embedded Machine Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in embedded software engineering, AI, and machine learning. Focus on relevant projects or roles that demonstrate your skills in developing real-time algorithms and working with embedded systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies you’ve worked with that align with their focus on embedded vision systems and deterministic AI models.
Showcase Relevant Skills: Clearly outline your proficiency in C/C++, as well as any experience with near-IR camera sensors and fixed AI/ML models. Use examples to illustrate how you've successfully integrated these technologies in past projects.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C/C++ and embedded systems. Highlight specific projects where you've developed or optimised algorithms, especially in the context of machine vision or AI.
✨Understand the Company’s Technology
Familiarise yourself with the company's work on near-infrared camera sensors and deterministic AI models. Being able to discuss how these technologies apply to real-time threat detection will demonstrate your genuine interest in their projects.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities under constraints. Practice explaining your thought process clearly, especially regarding memory and timing constraints in software execution.
✨Emphasise Collaboration Skills
Since the role involves working closely with various engineers, be ready to share examples of successful teamwork. Discuss how you’ve collaborated on projects, particularly in cross-functional teams, to achieve common goals.
