At a Glance
- Tasks: Design and develop cutting-edge AI systems for image and video analytics.
- Company: Join InnovationTeam, a forward-thinking tech company driving AI solutions.
- Benefits: Enjoy competitive pay, GPU access, and a collaborative work environment.
- Other info: Great opportunities for growth and advanced AI exposure await you.
- Why this job: Make a real impact in AI while working on exciting projects.
- Qualifications: 5+ years in AI/ML with a focus on Computer Vision and strong coding skills.
The predicted salary is between 60000 - 80000 £ per year.
Remote Junior AI Engineer - Computer Vision
Location: Remote
Employment Type: Full-time (8 hours)
Experience Level: Junior (5+ years)
InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a Junior AI Engineer - Computer Vision to join our AI engineering team. As a Junior Computer Vision Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions. This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production. At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.
Role Overview
We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.
Requirements
- Develop and train Computer Vision models for image and video analysis
- Implement solutions for object detection, image classification, segmentation, and tracking
- Prepare and manage datasets, including data cleaning, labelling, and augmentation
- Optimize models for GPU performance, inference speed, and scalability
- Deploy AI models into production using APIs and containerized services
- Integrate Computer Vision models with broader AI and analytics platforms
- Collaborate with software engineers, data scientists, and product teams
- Maintain documentation and ensure code quality and reproducibility
Required Skills & Qualifications
- Minimum 5 years of hands‑on experience in AI / Machine Learning / Deep learning with a focus on Computer Vision
- Master's degree in computer science, software engineering, artificial intelligence, engineering, or a related field
- Strong knowledge of Computer Vision concepts and algorithms
- Practical experience with CNN‑based models and modern CV architectures
- Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV)
- Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2)
- Understanding of model evaluation, metrics, and performance optimization
- Experience deploying models in cloud or on-prem environments
- Familiarity with Docker and basic MLOps practices
- Excellent English communication skills (written and spoken)
Nice to Have
- Experience with video analytics or real‑time inference
- Exposure to Vision Transformers or multimodal AI
- Experience with GPU-based training and inference
- Knowledge of cloud platforms (OCI, AWS, Azure, or GCP)
- Background in domains such as healthcare, smart cities, or industrial AI
Benefits
- Work on practical, production‑grade Computer Vision solutions
- Access to GPU infrastructure and modern AI tooling
- Collaborative, engineering-focused work environment
- Opportunities for growth and advanced AI exposure
- Competitive compensation package
Junior AI Engineer - Computer Vision employer: InnovationTeam
InnovationTeam is an exceptional employer that champions a culture of innovation and collaboration, making it an ideal place for Junior AI Engineers to thrive. With access to cutting-edge GPU infrastructure and modern AI tools, employees are empowered to work on impactful, production-grade Computer Vision solutions while enjoying competitive compensation and ample opportunities for professional growth in a supportive remote environment.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Engineer - Computer Vision
✨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 InnovationTeam 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 InnovationTeam.
✨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 InnovationTeam.
✨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 InnovationTeam 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 Junior AI Engineer - Computer Vision
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 InnovationTeam.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at InnovationTeam 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 InnovationTeam
✨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 InnovationTeam 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.
