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- Tasks: Develop advanced algorithms for cutting-edge Autonomous Systems and AI-enabled defence technologies.
- Company: Join a specialist team focused on next-generation defence innovations.
- Benefits: Enjoy hybrid working, flexible hours, and diverse career pathways.
- Why this job: Be part of impactful projects that shape national defence and technology.
- Qualifications: Degree or PhD in a technical field; proficiency in MATLAB/Python required.
- Other info: Candidates must be eligible for UK Security Check 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 AI-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.
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Algorithm Engineers employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineers
✨Tip Number 1
Familiarise yourself with the latest advancements in autonomous systems and AI 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 field of algorithm engineering. Attend relevant conferences, webinars, or local meetups to connect with industry experts and gain insights that could give you an edge in your application.
✨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 significantly enhance your profile.
✨Tip Number 4
Prepare to discuss specific algorithms you've worked on, especially in navigation, tracking, or machine learning. Being able to articulate your hands-on experience will showcase your expertise and passion for the role.
We think you need these skills to ace Algorithm Engineers
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 decision-making, navigation algorithms, or AI/ML.
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 complex systems relevant to defence technologies.
Showcase Relevant Experience: When detailing your work experience, focus on projects that involved algorithm verification and validation, particularly in mission-critical systems. Use quantifiable achievements to illustrate your impact in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to algorithm development and machine learning during the interview process. Brush up on key concepts like Kalman filtering and SLAM, and be ready to discuss how you've applied these in real-world scenarios.
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 or experiences where you developed algorithms, as this will demonstrate your hands-on expertise.
✨Understand the Core Focus Areas
Familiarise yourself with key topics such as navigation, tracking algorithms, and machine learning. Being able to discuss these areas intelligently will show that you are not only qualified but also genuinely interested in the work they do.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, especially when it comes to complex algorithms like Kalman filtering or SLAM, as this will showcase your analytical skills.
✨Demonstrate Team Collaboration
Since the role involves cross-disciplinary collaboration, be ready to share examples of how you've successfully worked in teams. Highlight your communication skills and ability to collaborate on critical projects, which is essential for success in this position.
