Quality Assurance Engineer - Modelling & Simulation

Overview

We Are Skyral:
We believe every decision maker can be empowered by technology. Skyral combines AI, leading edge simulation technology and world class expertise to transform the decision making experience. Our products and services enable faster and more confident decisions in a complex, unforgiving world. We deploy practical, intuitive and efficient solutions to governments and enterprises, delivering outstanding outcomes at the speed of relevance.

Omnia Training, in collaboration with some of the UK’s most innovative defence training organisations, aims 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. 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.

Note that this role will require onsite working in Warminster. Due to the nature of this role, Skyral can only consider applications from candidates who live in the UK and are eligible for SC clearance.

This is not a traditional QA role. You will own verification, validation, and assurance across models and integrated simulation systems, acting as the authority on whether systems are fit for use.

• Highly analytical and structured.
• Independent and evidence-driven.
• Willing to challenge assumptions and push back when required.
• Strong attention to detail without losing sight of overall system behaviour.
• Clear communicator, able to present findings credibly to technical and non-technical stakeholders.
• Comfortable operating in assurance-heavy and regulated environments.
• Comfortable making and defending decisions about system credibility and fitness-for-purpose

• Strong understanding of VV&A principles and frameworks as well as model and system validation approaches.
• Experience in validating simulation models, assessing fitness-for-purpose and producing structured validation evidence.
• Expert in test planning and execution, as well as functional, integrated and regression testing.
• Ability to validate behavioural correctness, effects and interactions and timing and responsiveness.
• Experience integrating documentation into governed systems.
• Familiarity with Defence and M&S standards such as JSP 939, NATO VV&A guidance, and relevant FOMs (e.g. RPR-FOM, NETN-FOM) is desirable.
• Experience producing structured documentation and evidence aligned to regulated or authority-driven environments.
• Experience integrating validation outputs into governed systems, including linking validation status and evidence to versioned artefacts.
• Experience with tooling to support testing and validation (e.g. automated test frameworks, data analysis tools, scripting in Python) is desirable.

• Own verification, validation and assurance (VV&A) across models, simulation components, and integrated training systems, and supporting data.
• Define and maintain test and validation strategy aligned to training needs, customer requirements, system capabilities, and exercise design intent.
• Design and execute functional and integration tests and scenario based validation exercises.
• Validate models against authoritative data sources, SME expectations and expected behaviours.
• Assess model fidelity and realism, behavioural correctness, and system performance under realistic conditions.
• Validate end-to-end system behaviour, including cross-system interactions, data flows, timing, and consistency.
• Support authority-led validation, acceptance, and accreditation activities.
• Produce test plans, validation reports and evidence packs for customer review.
• Ensure validation outcomes are recorded, traceable, and linked to content and system versions.
• Provide clear, defensible evidence to support decisions on whether systems are fit for training use.

Note:

Please feel empowered to apply…