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

Apply Now

Simulation Engineer

Matchtech
Loughborough
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Machine Learning Engineer London, United Kingdom

Machine Learning Engineer London, United Kingdom

Data Scientist London, United Kingdom

Staff Machine Learning Engineer, Simulation

Senior Data Scientist

Job summary


Modeling and Simulation Engineer required for our esciting Green Tech company in East Midlands. Experience of Mathworks tools required.


Key skills required for this role

Matlab, Simulink, Simscape


Job Title:Simulation Engineer (Matlab, Simulink, Simscape)

Location:East Midlands

Company:Established Green Technology Leader

Role Overview


As a Simulation Engineer at our East Midlands-based green technology firm, you will play a vital role in driving innovation and advancing our product offerings. Using a high level of creativity and technical judgement, you will develop numerical models using a suite of simulation tools, including Matlab, Simulink, and Simscape. Your work will be key in shaping the direction of our future products and verifying control strategies for existing ones, ensuring optimal performance forecasting and strategic alignment.

Key Responsibilities

  • Model Development and Optimisation:Develop and enhance numerical models to support product development and performance forecasting, using tools such as Matlab, Simulink, and Simscape.
  • Simulation and Control Strategy Verification:Conduct detailed simulations to test and verify control strategies, driving informed decision-making for both current and future product iterations.
  • Documentation and Reporting:Confidently present findings to key stakeholders, create comprehensive documentation, and report on outcomes that influence strategic decisions.
  • Cross-Functional Collaboration:Collaborate effectively within a diverse team, working closely with both technical and non-technical colleagues in an agile environment to achieve project goals.

About You

  • Qualifications:A BEng, BSc degree (or equivalent) in a relevant engineering discipline, or substantial industry experience with relevant non-degree qualifications.
  • Technical Proficiency:Demonstrable experience with Matlab, Simulink, and/or Simscape, with the ability to create model-based solutions grounded in functional requirements.
  • Commercial and Solution Focused:A commercially aware mindset with a flexible, solution-focused approach to problem-solving in a dynamic, fast-paced environment.
  • Communication Skills:Strong communication skills with the ability to articulate complex technical concepts to a diverse audience and document results thoroughly.
  • Adaptable and Collaborative:Ability to work collaboratively across functions, adapting to the needs of various stakeholders and embracing agile work processes to support our mission of sustainability.

Why Join Us?


This is a fantastic opportunity to join a well-established green tech company dedicated to sustainability and innovation. Be part of a team where your expertise will make a tangible impact, helping to create solutions that contribute to a more sustainable future.

If you're looking to advance your career in a role where technical skills, creative problem-solving, and environmental impact intersect, we'd love to hear from you.

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.