Systems Mathematical & Simulation Modeller - Portsmouth

Hunter Selection
Portsmouth
4 months ago
Applications closed

Related Jobs

View all jobs

Systems Modelling & Simulation Engineer

Research Software Engineer

C++ Software Engineer

Data Scientist - London

Principal Data Scientist

Principal Data Scientist

You will be responsible for undertaking mathematical analysis, modelling and simulation of complex systems from either our underwater weapon or radar portfolios, taking solutions through to design implementation.

Identify, develop and evolve system capability solutions and resolve engineering issues for a range of operational scenarios through algorithmic definition and system performance modelling and simulation. Utilise modelling and simulation to verify and validate these solutions for customer stakeholders.

You will be required to apply the principles of Systems Engineering to support various phases of the engineering development lifecycle and subsequently into system customer support which can encompass further system capability evolution.

What you\'ll be doing:

  • Conduct mathematical modelling and simulation development devising and evolving algorithmic and design solutions to meet system capability and performance requirements of complex underwater weapon or radar systems
  • Develop, maintain and evolve high-fidelity, high-integrity, high-complexity mathematical models and performance simulations of technical solutions for such systems
  • Utilise mathematical modelling and simulation to identify and develop performance enhancements and novel solutions to improve existing underwater weapon or radar product capability and evolve future associated technologies
  • Develop novel solutions to evolving technical challenges and emerging issues that our customer community are facing
  • Support multi-disciplined engineering teams in the realisation, implementation, verification and validation of algorithmic and design solutions for deployable underwater weapon or radar systems
  • Conduct system performance analysis and design trade-offs of principle system parameters in order to characterise and define system design constraints and limitations in various operational scenarios
  • Undertake system performance analysis of integration and post trials data to inform underwater weapon or radar systems design solutions, and to generate customer acceptance evidence
  • Be a technical focus point for development and analysis activities, preparing and presenting technical aspects to the required stakeholders
  • Apply a breadth of knowledge, skills and experience of Systems Engineering (e.g. ISO 15288) to design and develop solutions and resolve engineering issues and problems for a range of products and engineering situations across our underwater or radar sectors

Your skills and experiences will embody some or all of the following:

  • A strong mathematical and engineering mind-set with an innovative approach to problem solving that can be applied to resolving complex technical and system level requirements
  • Understands engineering principles and approaches and be capable of systems thinking, applying holistic approaches to complex problems
  • Experience of mathematical simulation tools/languages (e.g. Mathworks MATLAB, Simulink, Pearl, Python, MathCAD)
  • Experience of using a high level design methodology (e.g. SysML, UML) to define modelled solutions for subsequent implementation
  • An understanding of factors that can affect the real world performance of underwater weapon or radar systems and how these can impact modelled or simulated performance prediction
  • An understanding of signal processing and/or tracking algorithms and techniques employed on contemporary radio, satellite, radar or sonar real-world systems would be an advantage
  • Confident presenting both technical and non-technical information in a formal setting
  • Further education (or equivalent experience) in a relevant STEM discipline

Suitable candidates should apply immediately by calling our Managing Consultant for this vacancy Nick Stovold on or by sending your CV directly to him at nicks@hunterselection.co.uk

We regret that this client is not prepared to sponsor work permit or work permit transfer applications. Candidates must be able to prove their eligibility to work in the UK.

Hunter Selection is an employment consultancy and currently has permanent vacancies for Engineering and Manufacturing professionals throughout the South West of England and South Wales. If you are looking for work in this area we may be able to assist you. Contact us directly on and discuss your requirements with one of our dedicated consultants.

Job Tenure: PermanentSalary: £40000 - £60000 per annumLocation: Portsmouth, Hampshire

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

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.