About the role
Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered.
Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed.
Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead!
We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology.
You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact.
The Company:
Invested in your growth - strong development, clear progression, and continuous learning.
Global leader - cutting-edge defence innovation with an outstanding culture.
Award-winning employer - Sunday Times Best Places to Work 2024, Most Loved Organisation.
People-first - Investors in People Gold & Wellbeing Platinum.
Inclusive & supportive - 10+ employee networks and strong ED&I focus.
Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold.
Innovative & growing - work on advanced, international programmes.
Flexible & rewarding - great benefits and flexible working.
What You'll Be Doing:
Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python
Interpreting technical requirements and translating them into effective algorithmic solutions
Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation
Contributing to best practices and influencing how algorithms are developed across the wider team
Applying a rigorous, quality-focused approach to problem-solving and development
Essential Skills & Experience:
Mathematical modelling, analysis, or problem-solving
Numerical simulation or data analysis
Data science, including machine learning techniques
Software development (ideally Python or similar)
A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar
Confidence working with mathematical concepts and applying them to real problems
A strong attention to detail and commitment to producing high-quality work
A proactive mindset with the drive to make an impact and contribute ideasDesirable Experience:
Experience in the Defence / Aerospace or safety regulated environment would be advantageous.
Geospatial data or geographic information systems (GIS)
Even If you feel like you don't meet every requirement, we encourage you to reach out and apply
How to apply
This vacancy is listed via CV-Library. Use the Apply on CV-Library button at the top of this advert — it opens the CV-Library platform where you'll submit your application directly.
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