C++ Software Engineer

Great Chesterford

11 months ago

Applications closed

Related Jobs

View all jobs

Data Analyst - Sc cleared

Contract Data Engineer (Azure) - Agile IT Team

Clinical Systems Data Analyst / System Administrator

Computer Vision Engineer X 3

Celonis Data Engineer

Data Engineer / Consultant

About the Company

Our client is 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

Our client is expanding its software engineering team to support a demanding and ambitious product roadmap.

The role involves the design and development of software across the radar systems portfolio, including external control systems and system interfaces. This also includes the development of integrations with third-party security and surveillance platforms, as well as improvements in user-facing software capabilities and overall user experience.

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.

*

Contribute to the continual improvement of software engineering practices within the organisation.

Required Qualifications & Skills

*

Proficient in C++ (Essential)

*

Demonstrable industry experience of software development.

*

Strong understanding and hands-on experience with object-oriented software design.

*

Ability to work effectively in a cross-functional team environment - Excellent written and verbal communication skills.

*

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.