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

Apply Now

Software Engineer

Great Chesterford
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer / Machine Learning Developer

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

Software Engineer (Leadership) - Machine Learning

Artificial Intelligence Engineer

Radar Software Engineer

Location: Cambridge

Type: Permanent - Hybrid working (3 days office/ 2 days remote)

Salary: Up to £50,000 depending on experience

About the Company

Tech Connect Group is working with an established Aero/ Defence Technology SME based in the wider Cambridge area. They are a leading designer and manufacturer of radar systems whose patented and industry-leading radar technologies are deployed in over 35 countries for applications including border surveillance, perimeter security, and infrastructure monitoring.

The Opportunity

Key Responsibilities:

Design and develop software for the company's radar systems.
Create software interfaces for integration with third-party surveillance and security systems.
Enhance and improve software functionality with a focus on user experience.

Required Qualifications & Skills

Proficient in C++ (Essential)
Strong understanding and hands-on experience with object-oriented software design.
Analytical and creative problem-solving abilities.
Comfortable working directly with end customers and users.

Preferred Qualifications & Experience

Degree in software engineering, computer science, or an engineering/science discipline with a software focus.
Experience developing command and control (C2) software for security or defence applications.
Familiarity with Geographic Information System (GIS) data and its manipulation.
Experience working with SQL databases.
Knowledge of user interface (UI) design and user experience (UX) best practices.
Understanding of real-time software development principles.
Experience with embedded Linux systems and embedded software development.
Exposure to machine learning techniques and classification methodologies.
Familiarity with Python or similar scripting languages.
Strong mathematical and statistical analysis skills.
Valid driver's licence and passport for occasional business travel related to projects

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.