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For Companies At a Glance
- Tasks: Design and implement cutting-edge computer vision solutions using machine learning.
- Company: Join DeterTech, a leader in making the world safer and more secure.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact with innovative technology in a dynamic environment.
- Qualifications: Degree in relevant field and 3-5 years of engineering experience required.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Make a difference: At DeterTech we give peace of mind to people and communities, every day. Making the world a safer, more secure place is what matters to us. And it’s what sets us (and you, if you join us...) apart from the crowd. DeterTech continues to grow and has big plans for the future. Join us and see how you can contribute to our future success.
Key Responsibilities
- Provide expert guidance and technical support in both embedded and cloud-based machine learning solutions, with specific focus on Computer Vision.
- Design and implement Data Pipelines.
- Provide technical guidance for the development of computer vision solutions.
- Implement state of the art machine learning algorithms.
- Design and develop robust computer vision algorithms for detection, classification and segmentation.
- Conduct detailed analysis, testing, and validation of designs or systems.
- Collaborate with cross-functional teams to optimise performance and efficiency.
- Ensure compliance with industry regulations, standards, safety guidelines, GDPR compliance etc.
- Contribute to project planning, budgeting, and resource management.
Requirements
- Extensive computer vision / machine learning knowledge gained in an engineering function.
- Strong understanding of classical computer vision techniques.
- Degree qualification within a suitable discipline, masters is a bonus.
- 3-5 years of professional engineering experience.
- Strong understanding of engineering principles, tools, and best practices.
- Experience working with relevant industry software, modelling, or simulation tools.
- Ability to manage project components independently and meet deadlines.
- Excellent analytical, troubleshooting, and decision-making skills.
Skills & Experience
- Experience working with popular machine learning frameworks.
- Experience using high performance deep learning models for image processing.
- Optimise models for embedded platforms / edge devices.
- Stay up-to-date with advancements in deep learning and computer vision to apply new techniques to products.
- Collaborate with stakeholders to understand business objectives, challenges, and identify opportunities where Computer Vision solutions can add value.
- Provide expert guidance and consulting services on computer vision strategy, implementation, and best practices, ensuring alignment with business goals and industry standards.
- Develop and implement scalable and efficient solutions to support algorithms and models, ensuring robustness, reliability, and performance optimisation.
- Design and develop machine learning solutions, both device embedded and cloud-based services on Cloud Providers like AWS, GCP, or Azure.
- Take ownership of the implementation of the suggested solutions.
- Experience working with cloud-based platforms, preferably AWS, is favourable.
- Good coding skills gained using any of C, C++, C#, Java also favourable.
Computer Vision Engineer in London employer: DeterTech Holdings Limited
Contact Detail:
DeterTech Holdings Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or tech conferences related to computer vision and machine learning. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in computer vision. Whether it's GitHub repos or personal projects, having tangible evidence of your skills can really set you apart from the competition.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in computer vision. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings at DeterTech. Applying directly through us not only shows your interest but also gives you a better chance of landing that interview!
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Engineer role. Highlight your experience with machine learning and computer vision techniques, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about computer vision and how your background aligns with our mission at DeterTech. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of your work with machine learning frameworks and any cloud-based solutions you've developed. This will help us understand your hands-on experience.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at DeterTech!
How to prepare for a job interview at DeterTech Holdings Limited
✨Know Your Stuff
Make sure you brush up on your computer vision and machine learning knowledge. Be ready to discuss specific algorithms you've worked with, and how they apply to real-world problems. DeterTech is looking for someone who can provide expert guidance, so show them you know your stuff!
✨Showcase Your Projects
Prepare to talk about your previous projects in detail. Highlight your experience with data pipelines, embedded systems, and cloud-based solutions. Bring examples of your work that demonstrate your ability to design and implement robust computer vision algorithms.
✨Collaboration is Key
DeterTech values teamwork, so be ready to discuss how you've collaborated with cross-functional teams in the past. Share examples of how you’ve optimised performance and efficiency through teamwork, and how you’ve contributed to problem-solving efforts.
✨Stay Current
Make sure you're up-to-date with the latest trends in deep learning and computer vision. DeterTech wants someone who can apply new techniques to their products, so mention any recent advancements or tools you've been exploring that could benefit the company.
