DATA SCIENTIST - Computer Vision / Generative AI

Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist Placement

Data Scientist (NLP & LLM Specialist)

Lead Data Scientist

Lead Data Scientist

Data Scientist - Computer Vision / AI Data Scientist / Generative AI
HYBRID / BRISTOL
Unlock the Power of AI Innovation!
Join my client, an AI trailblazer with an international presence, helping industries like healthcare, sports, manufacturing, and agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries.
Why You Should Apply

  • Be part of a revolutionary AI startup shaping the future across multiple sectors
  • Work on cutting-edge computer vision projects with real-world impact
  • Collaborate with experts across business, product, and engineering teams
  • Contribute directly to deploying AI solutions with enterprise clients
    What You’ll Be Doing
  • Develop deep learning models for a range of computer vision tasks
  • Define and implement assessment criteria to measure solution performance
  • Stay on top of and apply recent advancements in deep learning and computer vision
  • Support and maintain our suite of machine learning products
    About You
  • Be able to do the job as described
  • Skilled in deep learning algorithms applied to computer vision challenges
  • Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer
  • Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras
  • Capable of applying machine learning to solve real-world problems
    Please apply via the link for immediate consideration

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.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

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

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

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

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.