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For Companies At a Glance
- Tasks: Design and deploy cutting-edge computer vision models to enhance user experiences.
- Company: Join a fast-growing start-up poised for significant impact in the tech industry.
- Benefits: Enjoy share options, competitive benefits, and a dynamic work environment.
- Why this job: Be part of an innovative team driving advancements in machine learning and computer vision.
- Qualifications: Master’s degree or equivalent experience in Computer Science with 5+ years in computer vision.
- Other info: Diversity is valued; we welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
We are currently recruiting on behalf of a leading start-up business set for significant growth for the role of Senior Computer Vision Engineer. This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage.
What you’ll be doing:
- Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance.
- Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines.
- Optimise model architectures and tune hyperparameters to maximise throughput while maintaining computational efficiency.
- Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions.
- Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results.
- Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation.
Main Skills/Requirements:
- Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning.
- Over 5 years of experience deploying computer vision models in production environments.
- Advanced proficiency in Python programming.
- Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes.
- Solid understanding of computer vision techniques, including image classification, object detection, and segmentation.
- Experience with Large Vision Models (LVMs) is highly desirable.
- Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation.
How you’ll be rewarded:
- Share Options
- Competitive Benefits
- Opportunity to join a leading start-up
This is an excellent opportunity for an experienced Senior Computer Vision Engineer to join a growing company that is driven towards success!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Computer Vision Engineer employer: Addition
Contact Detail:
Addition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer
✨Tip Number 1
Make sure to showcase your experience with Large Vision Models (LVMs) in your discussions. Highlight specific projects where you've successfully implemented these models, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
Network with professionals in the computer vision field, especially those who have experience in start-ups. Attend relevant meetups or webinars to connect with potential colleagues and learn about the latest trends that could benefit your application.
✨Tip Number 3
Familiarise yourself with the company's products and services. Understanding their current challenges and how your skills can address them will help you articulate your value during interviews and discussions.
✨Tip Number 4
Stay updated on the latest advancements in machine learning and computer vision. Being able to discuss recent innovations or techniques can set you apart from other candidates and show your commitment to continuous learning.
We think you need these skills to ace Senior Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision models, particularly any work with Large Vision Models (LVMs). Emphasise your proficiency in Python and any relevant cloud platforms like AWS or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the job description, such as optimising model architectures or collaborating with cross-functional teams.
Showcase Relevant Projects: If you have worked on notable projects related to computer vision, include them in your application. Describe your role, the technologies used, and the impact of your work on the project's success.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended that relate to machine learning and computer vision advancements. This shows your commitment to staying updated in the field.
How to prepare for a job interview at Addition
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision techniques, especially Large Vision Models. Bring examples of projects you've worked on, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Experience
Since the role involves working closely with data engineers and software teams, highlight your past experiences in collaborative projects. Discuss how you effectively communicated and contributed to team goals.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and computer vision. Be ready to discuss recent developments and how they could apply to the company's projects, showing your passion for innovation.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when optimising model architectures or troubleshooting issues, as this will demonstrate your analytical abilities.
