National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Computer Vision Engineer

RedTech Recruitment
Saffron Walden
4 days ago
Create job alert

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 for Computer Vision Engineer


  • You will be educated to Ph.D. level with a focus on Computer Vision, OR have working experience as a Computer Vision Engineer
  • Solid academic history with good grades throughout
  • 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, youmustbe able to qualify for Security Clearance (this usually means you have been a UK resident for at least 5 years, have a clean criminal record etc)


Responsibilities for Computer Vision Engineer

  • 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're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website).


***********************************************************************************************

RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities.

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.


Keywords


Computer Vision Engineer / Machine Vision Engineer / Imaging Scientist / AI Engineer / Vision Systems Developer / Image Processing Engineer / Deep Learning Engineer / Optical Systems Engineer / Tracking Algorithm Specialist / Sensor Integration Engineer / R&D Engineer / ML Engineer / Algorithm Developer / Vision Software Engineer / Embedded Vision Engineer / Object Detection / Kalman Filter / Python / Blob Detection / Optical Components / AI/ML/CV Development Engineer / AI Software Engineer / Machine Learning Engineer / Computer Vision Engineer / AI Research Engineer / ML Research Engineer / Computer Vision Software Developer

Related Jobs

View all jobs

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Software Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.