National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

C++ Software Engineer - Stats/Maths

Southampton
2 weeks ago
Create job alert

Software Engineer required by a successful software company located in Southampton. The company requires a C++ Software Engineer to join a niche internal C++ software engineering team specialising in complex, statistical C++ software programming.

Hybrid working - generally 2 days per week in the Southampton office. Flexible working hours.

The successful Software Engineer will have a relevant degree in Mathematics and will have proven commercial/research C++ programming experience with a statistical or mathematical bias.

The successful Software Engineer will be tasked with understanding complex mathematical and statistical research papers and then implementing those algorithms in code in a scalable fashion.

Key experience

Degree, Masters or PhD in Mathematics
Mathematical algorithms eg statistical / machine learning / econometric time series
C++ programming on Windows and/or Linux

Any of the following would be advantageous

Experience in both research and commercial software environments
MATLAB
R
Python
Machine learning

This is an opportunity to join a highly successful, expanding company offering the chance to work on complex, interesting C++ programming in a relaxed atmosphere. If you are looking for an opportunity of this nature please get in touch.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Related Jobs

View all jobs

C++ Developer

C++ Software Engineer - Stats/Maths

Senior Computer Scientist

Account Manager (Consultancy / Staffing Consultancy) UK

Software Developer

Graduate Robotics Engineer

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.