Senior Software Engineer

IC Resources
Warwick
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer – Machine Learning

Senior Software Engineer, Cloud Native & MLOps

Senior Machine Learning Software Engineer in Applied Physics

Senior Data Scientist – Content Engineering

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Large Systems) Cambridge, UK

Senior C# Software Engineer

Salary:  £70k- £75k + remote working

Location: Warwick

IC Resources is delighted to be partnering with a Company that is conducting breakthrough innovative research within the measurement space, in a manner which develops innovation by actively intervening to improve .

This Company is working closely to bridge the gap between artificial intelligence and Bio-medical engineering to address and enhance one of humanity's fundamental needs. This is a great opportunity for a Senior C#  Software Engineer to play a role in this development.

What's Required?

For this Senior C# .NET Software Engineer role, we're interested in people from a variety of backgrounds, but your experience may include some of the following:

  • Experience in developing with C# particularly within a scientific or mathematical library
  • solid understanding of Vector Algebra
  • Understanding of Quaternions 

If you are a Senior C# . Software Engineer looking for an exciting new challenge within a great company, then please apply to learn more!

To find out more about this and other Software opportunities across the UK, please contact Jeroen O'Donkor at IC Resources.

 

 

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.