Algorithm Developer

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.

• 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.

• 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

• 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 ideas

• Experience in the Defence / Aerospace or safety regulated environment would be advantageous.
• Geospatial data or geographic information systems (GIS)