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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 the chance to shape the future.
- 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: We value diversity and are committed to equal opportunities for all applicants.
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 are driven towards success!
For further information on this Senior Computer Vision Engineer position, apply below!
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 hands-on experience with Large Vision Models (LVMs) during any 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 work with start-ups. Attend relevant meetups or online webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and computer vision. Being able to discuss recent trends or breakthroughs during interviews can set you apart and show your passion for the field.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or GCP. Be ready to explain how you've used these tools in previous roles to deploy and manage computer vision models effectively.
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 conferences you've attended related to machine learning and computer vision. This shows your commitment to staying updated with industry advancements.
How to prepare for a job interview at Addition
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Large Vision Models and other computer vision techniques. Bring examples of projects you've worked on, especially those involving image classification, object detection, or segmentation, to demonstrate your expertise.
✨Familiarise Yourself with the Company
Research the start-up's mission, values, and recent developments in the field of computer vision. Understanding their goals will help you tailor your responses and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your Python programming skills and be ready to discuss how you would optimise model architectures or troubleshoot issues with deployed models.
✨Highlight Collaboration Experience
Since the role involves working closely with data engineers, software engineers, and product managers, be ready to share examples of successful collaborations. Emphasise your ability to communicate effectively and work as part of a team to deliver seamless solutions.
