Control & Algorithms Engineer

Control & Algorithms Engineer page is loaded## Control & Algorithms Engineer remote type:
Hybrid locations:
Glasgow time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
March 13, 2026 (22 days left to apply) job requisition :
R0315602

Location:

Glasgow, United Kingdom Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you;

whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.
** Control & Algorithms Engineer
**** Glasgow – Hybrid
**** About the team
** Thales is a world leader in the design and manufacture of advanced products for the global defence, aerospace, and security markets. At Thales Glasgow, we specialise in Electro-Optical (EO) systems, including Thermal Imagers, Laser Rangefinders & Designators, Vehicle Sighting Systems, and Submarine Periscopes & Optronics Masts.

Line-of-sight stabilisation and servo control systems are fundamental to our optronics performance. As we advance target detection and stabilisation capabilities, we require skilled control engineers to develop robust, high-precision solutions.

As a Control Engineer, you will be involved in all aspects of control systems engineering, including:
* Design and optimise control systems for gimbals, stabilised platforms, and optronic masts, ensuring stability, accuracy, and real-time performance.
* Understanding of the fundamentals of control system components, such as motors, gyros, inertial measurement units.
* Model, simulate, and validate control strategies using industry-standard tools (e.g., MATLAB/Simulink, Python, or C/C++), transitioning designs into embedded hardware for deployment.
* Collaborate with systems, hardware and software teams to integrate control solutions, ensuring seamless operation within broader system architectures.
* Support testing, verification, and continuous improvement of control systems through lab and field trials.

This role is ideal for control engineers with a strong foundation in control theory, who can also selectively apply modern algorithmic techniques to solve complex stabilisation challenges. Control engineering is a critical capability for our business, offering long-term career growth in a technically diverse and innovative environment.
** We are looking for a candidate who:
*** Is a team player with a “can-do” attitude that performs effectively in a multi-disciplinary team environment and promotes the values of inclusiveness and diversity
* Is confident in their ability to help solve complex problems, asks challenging questions to develop their understanding, and suggests new ideas to further our product offering and increase our added value
* Is a self-starter, with an ability to manage their own workload and meet their agreed objectives, whilst also contributing to the development and delivery of wider operational goals
* Displays enthusiasm about learning new skills and technology and takes their own self-development seriously.
** Skills, qualifications and experience
** You will have bachelor’s or master’s Degree (BEng, BSc, MEng, MSc) in a Numerate, Scientific or Engineering subject or Higher Education/equivalent training and experience. You will be familiar with MATLAB and Simulink based tools for mathematical modelling, simulation and data analysis.

Ideally, you will have knowledge and experience in some of the following:
* classical control system design methods
* modern control methods and inertial stabilisation
* mechanical dynamics and motor technology
* modelling and simulation of nonlinear dynamical systems
* code generation from Simulink models
* C/C++ programming
* Matlab experience
* Practical experience in…