Algorithm Developer; Weapon Systems

Salary

Circa £55,000 depending on experience

Dynamic (hybrid) working: 4 days per week on‑site due to workload classification

British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. All successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS) managed by the MBDA Personnel Security Team.

• Company bonus:
  Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave:
  Up to 15 additional days
• Flexible working: we welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: up to 26 weeks for maternity, adoption and shared parental leave – enhancements available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities:
  Fantastic site facilities including subsidised meals, free car parking and much more

As an Algorithm Developer here at MBDA, you will join a dynamic team integral to our advanced weapon system development. You will be part of a specialist group that uses product knowledge and system analysis to develop algorithms that keep us ahead of the competition within sophisticated weapon systems, using groundbreaking algorithm technology such as machine‑learning and artificial intelligence.

• Design, develop and test mathematical algorithms using Matlab/Simulink and Python
• Interpret technical specifications and collaborate with other departments to understand how the algorithms will be used, and especially with the software team to define how they will be implemented
• Influence the way we develop algorithms within the team and more widely within MBDA
• Demonstrate a dedication to quality through progressive thinking and rigour

• Mathematical analysis / modelling experience
• Numerical simulation experience
• Experience in data science, especially machine learning
• Experience with geospatial data and/or geographic information systems
• Software development experience
• A numerate graduate or post‑graduate qualification
• Ability to work confidently with mathematics
• A commitment to product quality and procedures we follow to ensure it
• A desire to make an impression within the MBDA engineering community