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For Companies At a Glance
- 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 - 84000 £ 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.
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 industry conferences or webinars where you can meet potential colleagues and learn more about the challenges they face, which could give you an edge in your application.
✨Tip Number 3
Brush up on your MATLAB and Python skills, especially 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, particularly in navigation, tracking, or AI/ML. Be ready to explain your thought process and the impact of your work, as this will demonstrate your expertise and problem-solving skills.
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 contributions and impact in previous roles.
Prepare for Security Clearance: Since candidates must be eligible for UK SC clearance, be ready to discuss your background and any potential issues that could affect your eligibility. This shows your understanding of the requirements and your commitment to the role.
How to prepare for a job interview at Fynity
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in MATLAB and/or Python. Bring examples of past 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 defence and aerospace. Being able to discuss how your skills can contribute to autonomous systems and guided weapons will show your genuine interest in the field.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your understanding of algorithms, particularly in navigation, tracking, and AI/ML. Practise explaining complex concepts clearly and concisely, as communication is key in collaborative environments.
✨Demonstrate Adaptability and Collaboration
Highlight any experience you have working in cross-disciplinary teams. Discuss how you've adapted to different roles or challenges in past projects, as this aligns with the collaborative nature of the role in developing complex systems.
