At a Glance
- Tasks: Develop and optimise cutting-edge computer vision systems for real-world applications.
- Company: Join an innovative tech company at the forefront of AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a tangible impact by solving complex challenges with advanced technology.
- Qualifications: Strong Python skills and experience in deploying machine learning models.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Our client is an innovative technology company developing AI and computer vision solutions to solve complex real-world challenges. They are looking for a Computer Vision Engineer to join their growing team and help build, deploy and optimise production-grade computer vision systems. This is a hands-on role where you'll work across the full lifecycle of computer vision development, from image processing and model deployment through to monitoring and performance optimisation.
Key Responsibilities
- Own and evolve scalable computer vision and image processing pipelines end-to-end.
- Lead the deployment of CV models into production across cloud and edge environments.
- Design and optimise detection, segmentation, and classification systems for real-world performance.
- Drive model optimisation for latency, reliability, and scalability in production systems.
- Integrate ML models into broader platform architecture and APIs.
- Establish robust testing, monitoring, and performance tracking for deployed systems.
Skills & Experience
Essential
- Strong experience with Python and production-grade software engineering.
- Proven experience deploying machine learning / computer vision models into production.
- Hands-on with OpenCV, PyTorch and/or TensorFlow.
- Strong understanding of image processing fundamentals.
- Experience with Docker and modern CI/CD workflows.
- Strong debugging, profiling, and systems thinking skills.
Desirable
- Experience with multispectral or advanced imaging data.
- Exposure to ONNX Runtime, TensorRT, or OpenVINO.
- AWS or other cloud infrastructure experience.
- Familiarity with MLOps practices (monitoring, model registries, deployment pipelines).
- Experience with YOLO, U-Net, Mask R-CNN or similar architectures.
Senior Computer Vision Engineer in Bolton employer: NearTech Search
Join a forward-thinking technology company that prioritises innovation and collaboration, offering a dynamic work environment where your contributions directly impact real-world solutions. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in AI and computer vision. Located in a vibrant tech hub, the company fosters a culture of creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision Engineer in Bolton
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NearTech Search or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NearTech Search.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NearTech Search.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NearTech Search that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Computer Vision Engineer in Bolton
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NearTech Search.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NearTech Search and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at NearTech Search
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NearTech Search uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
