Senior Computer Vision Engineer - up to £70,000 - ID44602

Humand Talent
Oxford
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer – Computer Vision

Senior Machine Learning Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer

Are you an experienced R&D Engineer with a passion for automation, robotics, and intelligent systems?


Looking for something genuinely different in R&D?


This is a great opportunity to join a growing tech company developing next-generation automation and robotics systems.


This isn’t a maintenance or support role – it’s hands-on R&D where you’ll design, prototype, and deliver new automation features from concept to completion.


What you'll be doing:


  • Develop and test machine vision algorithms (Python, TensorFlow, OpenCV)
  • Collaborate with software and hardware engineers to integrate your features
  • Work on high-impact projects that accelerate discovery
  • Mentor engineers and help shape the growing R&D function


What's in it for you:


  • Real ownership – You’ll lead your own projects from concept to delivery, with the freedom to experiment, test, and make an impact.
  • Cutting-edge tech – Work on automation, robotics, and machine vision that directly advances real-world scientific research.
  • Collaborative team – Join a tight-knit group of engineers and scientists who love solving complex problems together.
  • Growth & progression – Be part of a growing company where your input helps shape future R&D direction.


You’ll need a strong background in engineering, computer science, or physics, experience in computer vision or robotics, and the confidence to take ownership of your own projects in a fast-paced environment.


If you’re ready to lead real innovation in a company where ideas turn into products quickly – let’s have a chat.


We’re committed to creating an inclusive environment where everyone feels valued and respected.


We welcome applications from people of all backgrounds, experiences, and perspectives - what matters most is your ability, curiosity, and passion for innovation.

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.