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

Apply Now

Expleo Technology | Modelling and Simulation Engineer

Expleo Technology
Manchester
11 months ago
Applications closed

Stirling Dynamics is recruiting for multiple System Dynamics Modelling and Simulation Engineers.


Due to upcoming projects and supporting continued growth, Stirling Dynamics are looking for engineers with an interest inmathematical modellingand it's application to simulating dynamic systems.


Stirling dynamics offer a unique opportunity to apply and develop your skills across different industries including:

  • Marine- Modelling boat dynamics, control systems, actuation systems, and contributing to multidisciplinary system modelling
  • Aerospace- Modelling the performance and behaviour of aircraft through flight dynamics, supporting the developing of actuation systems used within flight controls and landing gear systems, and developing knowledge of wider aircraft fly-by-wire systems
  • Simulation- Delivering and supporting the development of our world leading, fully active cockpit control devices, used on training and research simulators around the world
  • eVTOL- Be a part of the growing eVTOL and air mobility sector, where model based systems engineering is helping with the exciting new challenges this industry brings


With opportunities to work in all of these areas for customers stretching across the world, from Start Ups to large traditional established companies, Stirling Dynamics offers a diversity and breadth of experience difficult to obtain elsewhere.


The successful candidate will be part of the Simulation and Control technical capability group, and work alongside like-minded engineers, where you can learn and share your ideas, to enable the collaborative environment that Stirling Dynamics needs as we look to grow towards our strategic targets.


This engineer will work within a team responsible for all aspects of aircraft structural dynamics, from model build and validation to the prediction of flutter and the computation of ground and flight loads for the whole aircraft. As a Principal Engineer responsibility will include leading technical packages of work/tasks; providing input into the generation of technical proposal documents and supporting and approving the work of junior engineers.


The role will suit an engineer with a basis in modelling and simulation, ideally with some years of industrial experience with exposure to Matlab and Simulink.


This role will be predominantly based in our Bristol office with occasional travel to our clients' sites as required. As part of our commitment to flexibility, our staff can choose to work from the Expleo offices in Preston or Derby if preferred. We will also accept hybrid working.


Responsibilities

The successful candidate will work within the Simulation and control team developing models and running simulation analyses for a variety of reasons including (but not limited to):

  • In support of equipment and system design activities
  • Validation and derivation of system and equipment requirements
  • Development of system control and monitoring algorithms
  • Root cause analysis

Technical report writing is also an important part of the role, from Model Description Documents to Analysis Reports. As you develop, so too will your responsibilities, from representing the company to the customers, to contributing to technical proposals and leading technical modelling packages of work up to technical signatory and beyond.


You will work with the technical leads and principle engineers, to learning our modelling best practices and processes, whilst also contributing your own ideas to improve our methods and efficiencies.


Qualifications

Candidates will ideally be degree qualified (or equivalent), in a related discipline preferably Aerospace Engineering, Mechanical Engineering or Mathematics, and must be able to demonstrate a good understanding of fundamental modelling principles.


PERSONAL CHARACTERISTICS

  • Confidentiality
  • Flexible, can-do approach
  • Ability to deal with multiple conflicting requests
  • Professional attitude
  • Self-motivated to see tasks through to successful completion
  • Team working ethos


Essential skills

  • Matlab/Simulink
  • System engineering knowledge
  • Mathematical modelling
  • Algorithm design and application


Desired skills

  • Python
  • Electro-mechanical actuator experience
  • Multi-body dynamics
  • Understanding of control theory
  • Embedded systems
  • Experience with Speedgoat, Beckhoff or similar
  • Real time models


Experience

  • Up to 4 years experience


Applicants from Aerospace, Marine, Automotive or similar industries are welcome to apply where you can demonstrate the attributes described above


Benefits

Competitive Package - Grade 2 -4, £25,000 - £40,000 dependent on experience.


JBRP1_UKTJ

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.

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.