Senior Software Engineer, Skyral
Python
Development platform for synthetic environments
Job no longer available
Development platform for synthetic environments
21-100 employees
Job no longer available
21-100 employees
Company mission
To empower every decision maker with technology.
Role
Who you are
- Proven Experience writing production quality code and adhering to software best practices,
- Strong proficiency in Python is required
- Proficiency with C++ is a strong advantage
- Familiarity with (or strong curiosity towards) mathematical modelling paradigms (e.g. systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools
- Ability to profile, optimise, and scale computational models, whether through parallelisation, efficient data structures, or distributed computing frameworks
- Comfort with distributed computing environments, concurrency, or cluster orchestration (e.g., Kubernetes)
- Experience using Kafka (or similar) to develop real-time data streaming pipelines is desirable
- Hands-on expertise in data engineering principles to generate insights from large data sets, simulation outputs, or real-time streams is a plus
- Experience with using Kubernetes to automate the deployment of containerised applications
- Familiarity with Docker, CI/CD pipelines, and monitoring/logging tools is a plus
What the job involves
- The Model Engineering team is responsible for developing, implementing and productionising large-scale models and simulations used in our customer projects
- These models are predominantly agent-based and encode real-life systems and behaviours, allowing our customers to understand complex problems and explore different scenarios
- Depending on your experience and preferences, you may be working on:
- Developing new agent-based models for large, complex simulations of cities and social systems
- Productionising prototype models to ensure they run reliably and efficiently at scale, often faster-than-real-time or near real-time conditions
- Integrating data engineering best practices into our workflows, ensuring that vast amounts of incoming and simulated data are properly processed, analysed, and stored
- Productionising Simulation Models, working closely with Applied Scientist colleagues to take models from the prototype stage through to production ready software
- Developing and Implementing computational models
- Build or refine large-scale agent-based models incorporating real-world data and complex behaviours performance optimisation
- Measure, track, and continuously improve model performance, ensuring simulations can handle new levels of complexity and larger-scale scenarios
- Develop tooling that helps model developers optimise workflows and streamline simulation analysis
- Data Engineering - building pipelines to extract, synthesise and integrate data from a large number of sources
- Generating insights from massive data-sets and simulation outputs
- Generalising and extending existing models - Identifying and implementing generalisations and abstractions of existing models so that new models and new geographical areas of interest can be created easily
Salary benchmarks
Our take
Skyral, born from Improbable's defence division, launched in late 2023 and quickly delivered its first product for the UK Ministry of Defences. Now operating independently, its core platform, Skyral Shadow powers large-scale simulations across infrastructure and human behavior or mission planning and decision support.
The company is seeing support for its mission too, having received substantial funding in 2025 which will help it expand globally and grow its commercial footprint. With over 60% of work now outside defence, it's rapidly becoming a key player in digital twins across sectors like national security, healthcare, and infrastructure.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Enhanced parental leave: We’re proud to offer 26 weeks Maternity and 4 weeks Paternity leave at full pay
- Hybrid working: We understand that a one-size-fits all approach to work hours doesn’t suit everyone. Our hybrid working policy requires employees to spend a minimum of two days per week at our central London office. Outside this requirement, you’re empowered to work with your manager to determine a work schedule that suits your needs, whether in the office or through a hybrid model arrangement
- Unlimited paid holiday: We value and support the need to maintain a work-life balance, whether it’s taking time off during school holidays to be with your children, or simply having the flexibility to enjoy extended weekends without the stress of monitoring your remaining days off
- Dog friendly office
- Private medical & dental insurance
- Company pension
- Company swag
- Employee Assistance Programme
Company HQ
Finsbury, London, UK
Leadership
Jason Kennedy
(Co-Founder & CEO)Previously spent 4 years at Improbable as a Director of Simulation Engineering and VP of Engineering. Prior to that, they spent 6 years at Raydon Corporation in several Directorial roles, and almost 8 years at ENSCO Avionics in various roles, including Staff Technical Manager.
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