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

Nominate & Attend

Software Engineer - Simulation

Guildford
3 weeks ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer, Hardware Control

Software Engineer (C++/Python/Linux)

Software Engineering Manager

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

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
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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.