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

Apply Now

Senior Simulation Engineer - Vehicle Dynamics

ARCA
Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Team Leader - Data Science

Senior Data Analyst

Senior Data Scientist

Senior Data Scientist

Senior Azure Data Engineer

Senior Simulation Development Engineer - Vehicle Dynamics ARCA Resourcing is exclusively partnered with a rapidly expanding engineering business that is disrupting the market with it’s cutting-edge technology and product. Due to continued growth and increase in product demand they are looking to add a Simulation Development Engineer to their team. This is an exciting time of growth giving you the opportunity and autonomy to grow within the business. The Role: Build and run full system simulations to evaluate simulator design options and trade-offs Develop and deploy control software for Hardware in the Loop Integrate and test new concepts and developments on the simulators Improve simulator realism and usability, including integration of third-party hardware and software Skills: A background in fields such as Engineering, Physics, Maths or Computer Science Determination, independence and a methodical approach to problem solving An interest in, or exposure to, functional programming languages such as MATLAB, Python and R This is a permanent position and is based in South Bristol, with hybrid / remote working available. If you would like to know more about this Simulation Development Engineer role please apply immediate consideration.

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.