At Omnia Training, we’ve brought together some of the UK’s most innovative defence training organisations under one powerful mission: to transform the British Army’s training system and create the best-trained Army in the world.
Omnia Training is redefining the British Army’s collective training capabilities. To do that, we are looking for the best and brightest minds from across the UK. Omnia Training is at the heart of the UK’s bold Land Industrial Strategy.
This is more than a job — it’s a mission. You will be part of a high-impact, collaborative environment, where every person in our team plays a critical role in delivering Omnia Training’s vision; designing, delivering, and transforming collective training.
MPORTANT – PLEASE READ BEFORE APPLYING
This role is based full-time onsite in Warminster, Wiltshire. You will be required to work from the Warminster site five days per week. This is not a hybrid or remote role, and we cannot accommodate candidates who are only able to attend the site for part of the working week.
Security Clearance (SC) is a mandatory requirement for this role. To be considered, you must have been resident in the UK for the last five years and be eligible to obtain UK Security Clearance. If you do not meet this residency requirement, we will not be able to progress your application.
Please only apply if you meet both of these requirements: five days per week onsite in Warminster, Wiltshire, and five years’ UK residency for SC clearance.
What You’ll Be Responsible For:
Develop and adapt models based on customer-provided data, SME input and training needs.
Implement behavioural logic, effects, interactions, and environmental responses in a way that is both representative and computationally efficient.
Tune models to balance fidelity, performance, and scalability, making pragmatic trade-offs based on how the model will actually be used.
Design models to be reusable and composable, contributing to a broader simulation ecosystem rather than one-off implementations.
Ensure models behave coherently when composed with other models and systems, including handling timing, synchronisation, and interaction consistency.
Integrate models with other simulation components, terrain, and environment systems, and external systems (e.g. via HLA, DIS, APIs).
Working closely with our Simulation Integration Engineers, Simulation Content Engineer, and Quality Assurance Engineer.
Take ownership of a primary modelling area (e.g. capability & effects, human behaviour, environment, or interoperability) while contributing across domains where required.
Mentor and review the work of other modelling engineers to raise the technical bar across the team.
Support iterative improvement based on validation outcomes, exercise feedback, and operational use.
Note: Please feel empowered to apply for this position, even if you think you may only align with some of the qualities listed above. Your unique skills and perspectives could be just what we’re looking for.
What We Are Looking For:
Strong analytical and systems thinking mindset, with the ability to make architectural decisions when faced with uncertainty.
Experience of working across multiple modelling domains, and able to guide others
Able to set technical direction, define modelling approaches, and mentor less experienced engineers.
Able to realism with practical constraints such as performance, fidelity and scalability.
Curious and willing to challenge assumptions.
Comfortable iterating based on feedback, imperfect data, and evolving requirements..
This is not a research modelling role. You will build models that are used in real training systems, where performance, integration, and usability matter as much as correctness.
Key Technical Proficiencies:
Strong programming in high-performance C++ and Python.
Proven track record of designing and delivering real-time systems and simulation components or engines.
A strong understanding of modelling approaches including: Agent based modelling, Behavioural modelling, CNI modelling and physics/effects modelling.
Highly experienced with model calibration and tuning, representational fidelity and real-time simulation constraints.
Experience working with real-time 3D simulation and visualisation platforms such as Unity and Unreal Engine.
Experience designing models that can be reused and composed as part of a wider system, not built in isolation.
Experience in one or more of the following: military capability modelling, human behaviour modelling, environmental modelling, terrain / GIS systems.
Experience defining modelling architecture and reuse strategy across a programme, not just within a single model.
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