Senior Computer Vision Engineer

Addition+; Luton; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading start-up is scaling up and seeking a Senior Computer Vision Engineer to design and deploy Large Vision Models. This role offers the chance to enhance customer experiences through machine learning strategies and collaborate with cross-functional teams. Competitive salary and rewards such as share options are included, along with a commitment to diversity and equal opportunities.

Benefits

Share Options

Opportunity to join a leading start-up

Qualifications

• Over 5 years of experience deploying computer vision models in production.
• Hands-on experience with cloud platforms and deployment tools.
• Solid understanding of image classification and object detection.

Responsibilities

• Design and deploy Large Vision Models to enhance customer experiences.
• Collaborate with teams to ensure high-quality data pipelines.
• Monitor model performance and implement necessary updates.

Skills

Python

Machine Learning

SQL

Education

Master's degree in Computer Science or Data Science

Tools

AWS

GCP

Docker

Kubernetes

Job description

This range is provided by Addition+. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Addition+

We are currently recruiting on behalf of a leading start-up business set for significant growthfor 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
• 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.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting and Technology, Information and Media

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