At a Glance
- Tasks: Develop and optimise deep learning models for real-world computer vision applications.
- Company: Join a dynamic SME in the tech sector with a focus on innovation.
- Benefits: Competitive salary, hands-on experience, and a collaborative team environment.
- Other info: Opportunity for growth in a tight-knit team with a focus on problem-solving.
- Why this job: Tackle exciting challenges in safety-critical environments and make a real impact.
- Qualifications: Strong Python skills and experience with PyTorch and CNNs required.
The predicted salary is between 45000 - 55000 £ per year.
About the Role
I'm working with an SME in the technology sector looking to bolster their Computer Vision team of 4 specialists. It's a hands-on engineering role focused on deploying vision systems in real-world environments, dealing with exogenous factors such as lighting, weather, occlusion, low data availability and adverse conditions.
For this role, I'd love to speak to candidates used to dealing with messy and challenging data-driven environments who can accurately work to overcome the myriad issues that come with having models in the field.
Responsibilities
- Developing and optimising deep learning models for detection, classification and segmentation
- Working in environments such as the above and the constraints that they bring
- Working within a tight-knit team and swarming particular client issues to solutions
- Looking at model performance analysis and improving things like latency and accuracy over time
Requirements
- Strong Python skills
- Experience with PyTorch
- A good understanding of CNNs, object detection / tracking and segmentation
- Experience of working within applied areas where safety-critical environments are the norm - robotics, EV, defence etc.
- Familiarity with standard pipelines and tools (cloud, CI/CD, Docker)
Given the nature of the role, candidates must be eligible for security clearance and the role cannot offer visa sponsorship.
Applied Computer Vision Engineer employer: NearTech Search
Join a dynamic SME in the technology sector that values innovation and collaboration, offering a hands-on role as an Applied Computer Vision Engineer. With a focus on real-world applications and a supportive team environment, you'll have the opportunity to tackle complex challenges while enhancing your skills in deep learning and model optimisation. The company fosters a culture of continuous learning and provides avenues for professional growth, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Computer Vision Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the computer vision field on LinkedIn or at tech meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning models and real-world applications. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PyTorch, and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in deep learning and computer vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about applied computer vision and how you’ve tackled messy data environments before. We love seeing candidates who can connect their experiences to the challenges we face in the field.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've overcome challenges in data-driven environments. We’re looking for candidates who can think on their feet and come up with innovative solutions, so share those stories with us!
Apply Through Our Website:We encourage you to apply directly 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 us you’re keen to join our team!
How to prepare for a job interview at NearTech Search
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with PyTorch. Be ready to discuss your experience with CNNs, object detection, and segmentation. The more you can demonstrate your technical knowledge, the better!
✨Prepare for Real-World Scenarios
Since this role involves deploying vision systems in tricky environments, think of examples from your past work where you tackled messy data or overcame challenges like lighting or occlusion. Sharing these experiences will show you can handle the job's demands.
✨Teamwork Makes the Dream Work
This position is all about collaboration, so be prepared to talk about how you've worked in tight-knit teams before. Highlight any instances where you swarmed client issues to find solutions together, as this will showcase your ability to work well with others.
✨Understand the Importance of Safety
Given the safety-critical nature of the environments you'll be working in, be ready to discuss your experience in similar fields like robotics or defence. Showing that you understand the stakes involved will set you apart from other candidates.
