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

Nominate & Attend

Software Engineer - Simulation

Guildford
1 week ago
Create job alert

Join an expert Team, developing pioneering geophysical and process simulations

This highly successful and expanding company are seeking a Simulation Software Engineer to help develop advanced software for geophysical modelling and industrial process simulation. With a global client base and an ambitious growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics.

You will collaborate closely with engineers and scientists from diverse disciplines, contributing to all stages of development—from initial design through to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation.

Key Responsibilities:

  • Develop and optimize algorithms for simulating physical processes and industrial systems.

  • Work with parallel processing technologies to accelerate large-scale computations.

  • Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software.

  • Contribute to the development of high-quality 2D and 3D visualisations and graphics.

  • Collaborate with cross-functional teams to ensure successful project delivery.

    Essential Skills & Qualifications:

  • A strong academic background, with a 1st or 2.1 in Computer Science, Engineering or other relevant discipline, and top A-level or equivalent grades in mathematics and physics.

  • A relevant PhD (or equivalent experience) in a scientific or engineering discipline.

  • Proficiency in programming languages such as C, C++, or Fortran.

  • Strong mathematical and analytical problem-solving skills.

    Desirable Skills:

  • Experience with C# .NET, WinForms, WPF, or the Qt/QML framework, or HTML5.

  • Experience in GPU programming (e.g., OpenCL, CUDA).

  • Knowledge of AI and Machine Learning techniques.

  • Expertise in graphics development (2D/3D) using technologies such as OpenGL, OpenGL Shaders, VTK, OSG, or Vulkan.

    Why apply for this role?

  • Competitive salary and performance-based bonuses.

  • Comprehensive benefits package.

  • Work in a collaborative, cutting-edge environment with opportunities for professional development.

  • Be part of a company with a global presence and an exciting trajectory of growth.

    Please Note: The role is based at the company’s office in Guildford, with no remote working options available.

    Keywords: Mathematical Modelling, GUI, Graphics, C, C++, Fortran, C#, CUDA, OpenGL, Surrey

    Another top job from ECM, the high-tech recruitment experts.

    Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

    Please apply (quoting ref: CV27303) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer - Simulation

Software Engineer, Hardware Control

Software Engineer (we have office locations in Cambridge, Leeds & London)

Software Manager

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.

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.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.