Computer Vision Engineer

RedTech Recruitment Ltd.; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology start-up in Saffron Walden seeks a Computer Vision Engineer to contribute to innovative solutions using cutting-edge machinery. The role encompasses designing and testing optical hardware, developing algorithms in computer vision, and plans to enhance system efficiency. Applicants should hold a Ph.D. in Computer Vision or have relevant experience. This position offers the chance to work in a ground-breaking environment with the potential to save lives.

Qualifications

• Educated to Ph.D. level in Computer Vision or equivalent working experience.
• Good academic history.
• Familiar with video analysis and optics is beneficial.

Responsibilities

• Support design, testing and validation of optical hardware.
• Contribute to visual monitoring and image analysis solutions.
• Adapt image processing workflows for efficiency.

Skills

Python

Object detection

Motion tracking

Convolutional neural networks (CNNs)

Knowledge of tracking methods

Education

Ph.D. in Computer Vision or related field

Job description

A brilliant opportunity for a Computer Vision Engineer 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 expertise in computer vision systems from initial design through to product launch.

Location: Saffron Walden (on‑site)
Salary: Negotiable

Requirements

• You will be educated to Ph.D. level with a focus on Computer Vision OR have working experience as a Computer Vision Engineer
• Good academic history
• 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.
• 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 able to qualify for Security Clearance (e.g., you have been a UK resident for at least 5 years and have a clean criminal record)

Responsibilities

• 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 who have 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.

Applications

If you would like to enquire about this unique Computer Vision Engineer opportunity we would love to hear from you. Please send an up‑to‑date CV including details of your online repository via the relevant link.

We are an equal‑opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Employment Type: Full Time
Experience: years
Vacancy: 1