Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Performance Modelling Engineer

IC Resources
Cambridge
5 months ago
Applications closed

Related Jobs

View all jobs

Technical Data Engineer

Senior Machine Learning Engineer

Senior Data Engineer

Senior Machine Learning Engineer (Remote)

Senior Data Engineer

Senior/Data Engineer

Senior Performance Modelling Engineer

£100,000+ DOE, UK remote working + stock options!

I'm currently partnered with a Semiconductor start-up, based in Silicon Valley. They are working on re-imagining Silicon, creating RISCV based computing platforms aimed at transforming the industry. As a Senior Performance Modelling Engineer you will develop functional and timing simulators, undertake performance analysis for architectural exploration and identify and fix performance bottlenecks. You'll also be involved in workload analysis, to develop a deep understanding of the characteristics of workloads in the target market (machine learning, data analytics, graph analytics).

They are looking for a passionate and dedicated person and in return, you'll get the opportunity to work in a fun, flexible collaborative working environment. Their team in the UK is currently small, but growing rapidly, therefore you have the chance to be part of a disruptive and talented group of exceptional people.

What's required for this Senior Performance Modelling Engineer position?

  • Strong C/C++ development skills
  • Excellent understanding of GPU/CPU architecture and microarchitecture
  • Knowledge of performance modelling concepts
  • SIMT processing, cache and memory hierarchies
  • Understanding of benchmarks and workloads in the ML space

If you are a Senior Performance Modelling Engineer, looking for an opportunity to work in a flexible, creative environment, please apply to learn more!

If you are interested in this, or other software opportunities across the UK, please contact Jack Bird 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 Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.