Software Engineer

Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Lead Software Engineer - MLOps Platform

Lead Software Engineer (Machine Learning)

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Software Engineer (C++/Embedded)
Location: Cambridge | Hybrid Working (3 days in the office)
Salary: £50,000 - £60,000

I'm working with an established technology company that designs and develops cutting-edge radar systems used across global security, surveillance, and defence sectors. With an ambitious product roadmap and an expanding portfolio, they're investing heavily in software development to drive the next generation of their radar solutions.

This is an exciting opportunity for an experienced Software Engineer to join a collaborative, multidisciplinary team. You'll be involved in designing and developing software across radar systems - from core control platforms to external system interfaces - as well as enhancing integration with third-party surveillance technologies and improving user experience.

Key Responsibilities:

Design and develop software for radar control systems and platforms.
Develop interfaces for third-party surveillance and security systems.
Contribute to user interface improvements and optimise the user experience.
Play a part in enhancing software engineering techniques and practices within the team.Required Skills & Experience:

Strong C++ development skills.
Embedded Linux and embedded software development experience.
Minimum 5 years' software development experience.
Strong understanding of object-oriented software design.
Proven ability to work effectively in cross-functional engineering teams.
Excellent verbal and written communication skills.
Analytical thinker with a creative, problem-solving approach.
Comfortable working directly with end-users and customers.Desirable Skills & Experience:

Degree in Software, Engineering or a related discipline.
Experience developing security or defence command & control (C2) software.
Understanding of Geographic Information Systems (GIS) data.
Knowledge of SQL databases and data manipulation.
Real-time software design and development knowledge.
Familiarity with machine learning techniques and classification methodologies.
Scripting experience with Python or similar languages.
Mathematical and statistical analysis abilities.
Full UK driving licence and valid passport for occasional project-related travel.Location & Benefits:
The role is based in Cambridge with excellent transport links - including road, rail, and cycling routes. Hybrid working is offered, with 3 days per week expected in the office. You'll join a highly skilled and supportive team, where your contributions will directly shape the future of their radar systems.

For more information, please contact Daniel Cordy at TEC Partners.

#LI-DC1

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.

Careers

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.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.