Image Processing Engineer

Lancaster
11 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Physicist / Engineer

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Image Processing Engineer
Location: Lancashire (Hybrid)
Salary: £65,000 - £75,000

An innovative company within Quantum Security are looking for a skilled Image Processing Engineer to join their rapidly growing R&D team,

Working as part of a multidisciplinary team, you'll be involved in the full lifecycle of algorithm development - from processing experimental data to building and optimising algorithms that can operate under real-world conditions. If you have a strong background in image processing, optics, and camera technologies, and enjoy working at the intersection of physics and software, I'd love to hear from you.

What You'll Be Doing

Designing and optimising algorithms to analyse quantum emission signatures and related data.
Collaborating closely with physicists, engineers, and software developers to ensure seamless integration of your work into smartphone applications
Testing and validating algorithms under varied conditions to guarantee robustness and reliability
Analysing data from materials scientists and hardware teams to ground your work in physical reality
Documenting designs and clearly communicating results to development teams
Staying on top of advances in machine learning, optics, and camera tech to keep improving performance
Helping to define experimental setups and data collection processes to support algorithm development

What You'll Need

4+ years of experience developing algorithms in the context of imaging, optical sensing, or spectroscopy
An advanced degree (MSc or PhD) in Physics, Electrical Engineering, Computer Science, or a related field - or equivalent industry experience
Strong grasp of optical physics or quantum optics, especially in fluorescence and emission analysis
Proficiency with image processing and optimisation tools (Python, MATLAB, etc.)
Familiarity with smartphone camera hardware and sensor data acquisition
A collaborative mindset and experience working with cross-functional teams to deliver production-ready code

Interested?
Apply now or reach out for more details.
Contact: Sam May - (url removed) | (phone number removed)

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.