Software Engineer - Simulation

CV-Library
Guildford, Surrey
12 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Remote

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Hybrid

Software Engineer -System Performance, Robot Software

Wayve London, United Kingdom

Software Engineer, Back End - Video Generation (Tech Lead Level)

Synthesia London, United Kingdom
Remote

Software Engineer, Back End Leaning (Tech Lead Level)

Synthesia London, United Kingdom
Remote

Software Engineer (Principal level)

Synthesia London, United Kingdom
Hybrid
Posted
13 May 2025 (12 months ago)

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

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.