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- Tasks: Develop advanced algorithms for next-gen Autonomous Systems and Guided Weapons.
- Company: Join a specialist team focused on cutting-edge defence technologies.
- Benefits: Enjoy hybrid working, career growth options, and collaboration on critical projects.
- Why this job: Be part of impactful programmes that shape the future of defence innovation.
- 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 48000 - 72000 £ 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.
Algorithm Engineer employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineer
✨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 or webinars, and connect with people on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Brush up on your MATLAB and Python skills, focusing on algorithm development and simulation. Consider working on personal projects or contributing to open-source projects that showcase your abilities in these areas.
✨Tip Number 4
Prepare to discuss specific algorithms you've worked on, especially in navigation, tracking, or AI/ML. Be ready to explain your thought process and the impact of your work on previous projects.
We think you need these skills to ace Algorithm Engineer
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 passion for defence technologies and how your skills align with the role. Mention specific projects or experiences that demonstrate your expertise in algorithm development and validation.
Showcase Relevant Experience: If you have worked on projects involving Kalman filtering, SLAM, or AI/ML implementations, be sure to detail these experiences. Use quantifiable achievements to illustrate your impact in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to algorithm development and validation during the interview process. Brush up on key concepts in navigation, tracking, and sensor fusion to confidently discuss your knowledge and experience.
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 and technical expertise.
✨Understand the Defence Sector
Familiarise yourself with current trends and challenges in the defence and aerospace industries. Being able to discuss how your skills can contribute to advancements in autonomous systems and guided weapons will show your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your understanding of algorithms, particularly in navigation, tracking, and machine learning. Practising common algorithm problems and being ready to explain your thought process will help you stand out.
✨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've contributed to complex projects, especially those involving multiple engineering disciplines.
