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

Nominate & Attend

Computer Vision Engineer

EVONA
Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Staff AI Engineer – Computer Vision & ML

Support Engineer (Computer Vision) Remote Opportunity

Computer Vision and Artificial Intelligence Engineer

Lead Research Engineer - SLAM / State Estimation / Computer Vision / Robotics

Engineering Manager – AI/ML (Computer Vision Focus)

Drones kill and injure more than 5,000 Ukrainians per month—more than any other weapon.

Our client is on a mission to stop that.


They make hand-launched missiles to neutralize short-range air threats. Small enough to carry three in a tactical vest and affordable for all ground units, our micro-missile will be the smallest, most cost-effective guided missile ever deployed.


Their goal:Turn the tide of war in Ukraine and provide NATO with a proven solution to drone threats.


We are seeking aComputer Vision Engineerto join the founding team. You’ll develop and deploy real-time vision algorithms on edge hardware to track fast-moving aerial targets. Your work will include sensor and board selection, data collection, and implementing efficient classical CV techniques to meet extreme performance and size constraints.


Responsibilities:

  • Develop and optimize real-time optical detection and tracking algorithms.
  • Deploy vision algorithms on edge hardware for low-latency performance.
  • Design and execute data collection processes to train and validate CV models.
  • Select and integrate sensors, processors, and IMUs.
  • Collaborate with a team to ensure seamless integration into the missile system.


Required Qualifications:

  • Hands-on experience with classical computer vision methods and edge deployment.
  • Experience with fast optical tracking and real-time systems.
  • Understanding of sensor and hardware platform selection.
  • Previous experience in data collection for CV applications.
  • Willingness to work from the UK.


Bonus Qualifications:

  • Experience with missile, UAV, or aerospace systems.
  • Knowledge of embedded systems and hardware optimization.
  • Experience deploying solutions on FPGAs
  • Willingness to work in safe areas of Ukraine.
  • Passion for Ukraine’s defense.
  • Startup or rapid R&D experience.


Why Join Them?

  • Impact: Develop technology to protect lives.
  • Ownership: Lead the vision systems for a groundbreaking product.
  • Purpose: Work with a team delivering frontline solutions.
  • Compensation: Competitive salary and stock options (0-2%).


They design based on soldier needs, not rigid contracts, offering agility to adapt and deliver where it matters most. If you’re ready to make an impact, join us.

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 UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.