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

Apply Now

Image Processing Engineer

Lancaster
6 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026...

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Senior Machine Learning Engineer

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.