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Senior Computer Vision Engineer

Addition
Posted a day ago, valid for 10 days
Location

Luton, Bedfordshire LU2 7JT

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • We are recruiting for a Senior Computer Vision Engineer at a leading start-up poised for significant growth.
  • The role requires over 5 years of experience in deploying computer vision models in production environments.
  • Candidates should possess a Master’s degree in Computer Science or a related field, or equivalent practical experience in machine learning.
  • The position offers a competitive salary along with share options and benefits.
  • This is a unique opportunity to contribute to a fast-scaling company at a pivotal stage in its development.

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
  • 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.

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.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.