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Principal Model Engineer - Modelling and Decision Sciences, Defence

We are spinning up three new teams to create products that support and deliver modelling and data science as part of the Improbable Defence offering. These products will cover three core areas: base models that come with the platform, tools to help modellers build models more quickly and tools to help compose synthetic environments.

We are seeking a Principal Model Engineer to help develop these opportunities, and empower our users to make synthetic environments at the level of complexity and scale they desire.

This is a leadership role, however, this is not a management position and the individual will not have any direct reports. This is a greenfield opportunity and as such, there is some scope for the individual to shape this role around the needs and composition of the teams. This will be a hands-on role to work with the teams directly and has a core strategic and future-looking component.

Area of impact

• Get involved across all aspects of the modelling workflow both as contributor and lead / reviewer. This includes: reviews, architecture design documentation, prototyping, concepting, technology selection and modelling strategy.
• Supporting the creation of scientific models for our product offering and tooling to enable their creation, ensuring that users have the functionality they need now and in the future.
• Coaching and mentoring a team of modellers, guiding them towards best practices.
• Able to make design and execution decisions, manage stakeholders, influence change and enable multiple teams to deliver successfully.
• Understanding our users’ current requirements, and anticipating future needs.
• Working with other engineering teams to create enabling technologies, to provide the best practice experience in building models on our platform.
• Maintain a deep understanding of our modelling, platform and tooling capabilities, and help to inform their development
• Accountable for the model development process within the organisation

We would like to hear from you if you identify with the following

• You have significant Python or C++ software engineering experience working on commercial software across multiple companies, industries or domains.
• You have worked on modelling / data products before, understand their complexities / considerations and the distinction between modelling and pure software development.
• You have excellent engineering, modelling and problem solving skills, and are able to design solutions under product, technology and scientific constraints
• You are product focused, and passionate about ensuring that users understand and can easily interact with our tools
• You are an excellent communicator, with a track record of conveying complex technical concepts to a range of audiences effectively
• You have experience collaborating with engineers, scientists, product owners and product managers in a fast paced, technology-driven environment
• You are calm under pressure; being able to deal with multiple risks, issues, tasks and priorities concurrently
• You have an engineering delivery mindset: making difficult priority and technical choices that need to be made to meet an organisational goal.
• Previous experience with agent-based models a bonus
• Importantly, you are considerate, humble, and a strong believer in teamwork

While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.

Please note due to the nature of this role you will be expected to meet requirements associated with obtaining UK security vetting clearance.

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About Us

Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.

We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.