Systems Engineer - Simulink

JAM Recruitment

Sheffield

1 month ago

Applications closed

Related Jobs

View all jobs

Systems Engineer

Systems Engineering Manager

Specialist Systems Engineer (3rd Line Support)

Performance Systems Engineer - Engine / Powertrain

Senior Control Systems Engineer

Power Systems Engineer

Systems Engineer - Simulink (multiple roles available)

12 months

£79.17 per hour

Inside IR35

We are working with a global leader in defence, aerospace, and security, delivering cutting-edge solutions that protect nations and advance innovation.

Role Overview:

We are seeking skilledSimulink Systems Engineersto join project teams across the UK. In this role, you will play a key part in developing and validating system models and simulations to support advanced defence and aerospace technologies. Your expertise will directly contribute to the success of mission-critical projects and ensure robust, reliable, and scalable solutions.

Key Responsibilities:

Design, develop, and maintain system models using MATLAB/Simulink.
Perform system simulations to validate design and performance against requirements.
Collaborate with multidisciplinary teams, including software, hardware, and systems engineers, to integrate models into broader system architectures.
Conduct analysis to identify and resolve system-level issues and optimize performance.
Document and present results, including technical reports and presentations, to internal and external stakeholders.
Support the development of verification and validation strategies for complex systems.
Contribute to the continuous improvement of modelling standards, tools, and methodologies.

Required Qualifications:

Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field.
Proven experience with MATLAB and Simulink in a professional or academic setting.
Strong understanding of control systems, signal processing, and system dynamics.
Experience with model-based design (MBD) principles and practices.
Ability to interpret and translate system requirements into simulation models.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.

Desirable Qualifications:

Experience in defence or aerospace industry projects.
Knowledge of industry standards such as DO-178C, MIL-STD-1553, or equivalent.
Familiarity with real-time simulation and hardware-in-the-loop (HIL) testing.
Proficiency in additional programming languages such as C/C++ or Python.
Active or eligible for UK security clearance (SC or higher).

Why work with us:

Innovative Projects:Work on cutting-edge technologies that make a difference.
Career Development:Access to training, mentoring, and growth opportunities.
Inclusive Environment:Be part of a diverse team where everyone’s voice is valued..

How to Apply:

If you are passionate about engineering excellence and want to be part of a world-class team, we want to hear from you. Apply now by submitting your CV and a cover letter detailing your experience and suitability for the role

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Mar 12, 2025

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Mar 9, 2025

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Mar 8, 2025

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.