Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Computer Vision Engineer

STARK
Swindon
2 days ago
Create job alert
Overview

Join to apply for the Computer Vision Engineer role at STARK

STARK is a defense technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned vehicles that are software-defined, mass-scalable, and cost effective – giving NATO and its allies a decisive edge in the most contested environments.

We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today

Your mission

You will be developing cutting-edge Computer Vision solutions and algorithms for our autonomous vehicles, bringing these onto our hardware in real time

Responsibilities
  • Coding!
  • Building in areas including Object Detection, Tracking and guidance, target re-identification
  • Working through software design, and architecture, all the way through to implementation
  • Integrating onto our hardware in realtime
  • Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes
  • Dive deep into the details to identify, understand, and solve difficult technical problems.
  • Constantly be challenging requirements to determine what adds value and what is not
Qualifications
  • Bachelor\'s or Master\'s degree in Engineering or a related field.
  • Experienced in modern C++, ROS 2 and NVIDIA Jetson
  • Excellent problem-solving skills and the ability to troubleshoot and resolve issues.
  • Strong communication and collaboration skills to work effectively in a multidisciplinary team environment.
  • Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement.
  • Ability to travel as needed.
  • Must be eligible for SC Clearance
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Defense and Space Manufacturing
  • Aviation and Aerospace Component Manufacturing
  • Motor Vehicle Manufacturing


#J-18808-Ljbffr

Related Jobs

View all jobs

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.