Computer Vision Engineer - Graduate Considered

RedTech Recruitment
Saffron Walden, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
£ 60K

Job location

Saffron Walden, United Kingdom

Tech stack

Computer Vision
Image Analysis
Python
Machine Learning
Object Detection
Convolutional Neural Networks
SC Clearance

Job description

Computer Vision Engineer - Masters Grad Considered, * Support the design, testing, and validation of optical hardware, including imaging sensors, optical assemblies, and related components.

  • Contribute to the creation of solutions for visual monitoring, tracking, and image analysis.
  • Adapt and refine image processing workflows to enhance system efficiency and output quality.
  • Work closely with cross-functional teams comprising engineering, technical, and product specialists.
  • Design tailored algorithms informed by the latest advancements in computer vision.
  • Build robust machine vision systems designed to meet stringent performance and reliability standards.
  • Plan and manage tasks effectively to ensure the timely delivery of reliable, well-documented outputs.
  • Take part in the development and testing of prototypes through to final product launch.

What this offers:

  • An opportunity to join a success story in the making with a team that has realised big success in other start-ups
  • Working on a cutting-edge stack in a highly innovative environment
  • Working on technology that has the potential to save thousands of lives

Requirements

A brilliant opportunity for a Computer Vision Engineer or Masters Graduate to work for an exciting start-up in Saffron Walden, Essex, that is tackling some of the world's most pressing challenges. The company is founded by a team of brilliant Engineers who have already realised success with other start-ups. This offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech. You will apply your knowledge in computer vision systems, from initial design through to product launch. This role is open to both experienced Computer Vision Engineers and Master's Grads with relevant academic project experience on Computer Vision.

Our client values those with absolute top academics - therefore, requires a 2.1 or 1st from internationally renowned university and all A's at A-Level (or international equivalent).

Due to the nature of some client projects, you must be willing and eligible to obtain DV Security Clearance. This generally requires a long-term UK residency history (typically 10+ years) and the ability to pass government security vetting. You can join the team and work on other commercial projects while your clearance application is progressing. Location: Saffron Walden, on-site Salary: £30,000 to £60,000 per annum Requirements for Computer Vision Engineer:

  • You will either be: educated to PhD level in Computer Vision or a related field, OR hold a Master's degree with strong academic project experience in computer vision, OR have proven industry experience as a Computer Vision Engineer
  • This company values a solid academic history (i.e. top Uni with good grades throughout, AAA at A Level etc).
  • Skilled in building computer vision solutions, with a focus on object detection and motion tracking.
  • Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models.
  • Ideally you'll have experience with tracking methods, including the use of Kalman filters.
  • Aware of traditional, lower-resource image processing techniques such as blob detection.
  • Proficient in Python for developing and implementing solutions.
  • Any experience in the following is beneficial: video analysis, optics or working within an agile environment
  • Due to the nature of some clients, you must be willing and eligible to qualify for UK Security Clearance (this usually means you have been a UK resident for at least 5 years, have a clean criminal record, etc.)
  • A full UK driving licence is ideal

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