Simulation Engineer

Matchtech
Loughborough
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist London, United Kingdom

Principal Data Scientist

Remote Nuclear Data Scientist: Simulation & Analysis

Data Engineer

Machine Learning Engineer

Machine Learning Engineer

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

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.