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- Tasks: Develop advanced algorithms for next-gen Autonomous Systems and Guided Weapons.
- Company: Join a specialist team at the forefront of defence innovation.
- Benefits: Enjoy hybrid working, flexible hours, and diverse career pathways.
- Why this job: Contribute to impactful projects in national defence and cutting-edge technology.
- Qualifications: Degree or PhD in a technical field; proficiency in MATLAB/Python required.
- Other info: Candidates must be eligible for UK SC clearance.
The predicted salary is between 36000 - 60000 £ per year.
Join a specialist team developing advanced algorithms at the core of next-generation Autonomous Systems, Guided Weapons, and ML-enabled defence technologies. You’ll contribute to high-impact programmes across the full engineering lifecycle — from early-stage research and feasibility studies through to development, trials, and in-service enhancement. Focus areas include navigation, guidance, tracking, sensor/data fusion, and machine learning.
Key requirements:
- Proficiency in MATLAB and/or Python for algorithm development and simulation
- Degree or PhD in a technical discipline such as Aerospace Engineering, Control Engineering, Mathematics, or Physics
- Experience in one or more of:
- Autonomous decision-making and control systems
- Navigation, estimation, or tracking algorithms (e.g. Kalman filtering, SLAM)
- AI/ML, including real-time implementation and model validation
- Verification & validation of complex algorithms in mission-critical systems
What’s on offer:
- Hybrid/flexible working and multiple career pathways (technical or managerial)
- Cross-disciplinary collaboration on critical national defence programmes
- Exposure to complex systems: RF/IR seekers, inertial sensors, thrust vectoring, and more
Candidates must be eligible for UK SC (Security Check) clearance. Apply now to work at the forefront of defence innovation. If you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three - five working days. If you do not hear within these timescales please feel free to get in touch.
Algorithm Engineer – Defence/Aerospace employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineer – Defence/Aerospace
✨Tip Number 1
Familiarise yourself with the latest advancements in autonomous systems and defence technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the aerospace and defence sectors. Attend relevant conferences, webinars, or local meetups to connect with industry experts who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 3
Brush up on your MATLAB and Python skills by working on personal projects or contributing to open-source initiatives. Demonstrating practical experience with these tools can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising algorithm development and simulation problems. Focus on areas like navigation algorithms and machine learning applications, as these are crucial for the role.
We think you need these skills to ace Algorithm Engineer – Defence/Aerospace
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in MATLAB and/or Python, as well as your educational background in a relevant technical discipline. Emphasise any experience you have with autonomous systems, navigation algorithms, or machine learning.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that demonstrate your skills in algorithm development and your understanding of defence technologies.
Showcase Relevant Experience: When detailing your work experience, focus on projects that involved algorithm verification and validation, especially in mission-critical systems. Mention any collaborative efforts in cross-disciplinary teams to highlight your teamwork skills.
Prepare for Security Clearance: Since candidates must be eligible for UK SC clearance, be ready to provide any necessary documentation or information that may be required for this process. This shows your preparedness and understanding of the role's requirements.
How to prepare for a job interview at Fynity
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in MATLAB and/or Python during the interview. Be prepared to discuss specific projects where you've developed algorithms or simulations, as this will demonstrate your hands-on experience.
✨Understand the Core Focus Areas
Familiarise yourself with key topics such as navigation, guidance, tracking, and sensor/data fusion. Being able to discuss these areas intelligently will show your genuine interest in the role and your understanding of the field.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities, especially related to autonomous decision-making and control systems. Practising common algorithm challenges can help you feel more confident.
✨Demonstrate Collaboration Skills
Since the role involves cross-disciplinary collaboration, be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to complex projects, particularly in defence or aerospace contexts.
