Large

We are a British metaverse technology company. We partner with video game developers, entertainment companies and defence and academic institutions to help them bring to life rich, powerful, virtual worlds of unprecedented size, scale, ambition and usefulness.

Technology

Improbable

You need a strong scientific mindset, software engineering experience, knowledge of modelling paradigms, Python proficiency, and a holistic approach to software development.

You will develop algorithms, build pipelines, tools, and optimize performance to enhance modelling behaviour and support cross-functional projects within the Enterprise Insights team at Improbable.

Software Engineering

London

<ul><li>We are seeking a Model Engineer to join our friendly, relaxed and inclusive team. You’ll be developing and implementing models and simulations used in our digital twins. Our models typically encode real-life systems and behaviours, allowing users to analyse performance and test different scenarios. This role is open to candidates from a wide range of technical backgrounds who have a passion for problem-solving and a desire to work in a collaborative and supportive environment. You'll have the chance to work alongside a multidisciplinary team of scientists, modellers, and software engineers who collaborate closely with our product team to take modelling to the next level.</li></ul>Your Opportunity:<ul><li>Contribute to developing and implementing algorithms which result in plausible modelling behaviour</li><li>Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces</li><li>Building tooling that enables model developers to do their work quicker and better</li><li>Profiling and improving the performance of models so that we can reach new levels of speed and scale</li><li>Collaborate with cross-functional teams across the Enterprise Insights team to support adjacent projects where required</li></ul>Why you're made for this:<ul><li>A strong scientific and engineering mindset, software engineering experience, and a desire to solve real-world problems</li><li>Eagerness to learn and apply model and data engineering to solve customer problems</li><li>Exposure to or experience with mathematical modelling paradigms (e.g., systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools</li><li>Familiarity with Python and a willingness to learn more advanced features of the language and software engineering design patterns</li><li>Knowledge of tools and libraries for modelling, data analysis, and scientific computing (e.g., NumPy, Pandas, SciPy)</li><li>Naturally pragmatic, balancing fast-moving project requirements with quality and good practices</li><li>Ability to think holistically about every aspect of software development, including testing, documentation, security and performance</li></ul>

We are seeking a Model Engineer to join our friendly, relaxed and inclusive team. You’ll be developing and implementing models and simulations used in our digital twins. Our models typically encode real-life systems and behaviours, allowing users to analyse performance and test different scenarios. This role is open to candidates from a wide range of technical backgrounds who have a passion for problem-solving and a desire to work in a collaborative and supportive environment. You'll have the chance to work alongside a multidisciplinary team of scientists, modellers, and software engineers who collaborate closely with our product team to take modelling to the next level.Your Opportunity:Contribute to developing and implementing algorithms which result in plausible modelling behaviourBuilding pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfacesBuilding tooling that enables model developers to do their work quicker and betterProfiling and improving the performance of models so that we can reach new levels of speed and scaleCollaborate with cross-functional teams across the Enterprise Insights team to support adjacent projects where requiredWhy you're made for this:A strong scientific and engineering mindset, software engineering experience, and a desire to solve real-world problemsEagerness to learn and apply model and data engineering to solve customer problemsExposure to or experience with mathematical modelling paradigms (e.g., systems dynamics, event-based modelling, agent-based modelling) and associated simulation toolsFamiliarity with Python and a willingness to learn more advanced features of the language and software engineering design patternsKnowledge of tools and libraries for modelling, data analysis, and scientific computing (e.g., NumPy, Pandas, SciPy)Naturally pragmatic, balancing fast-moving project requirements with quality and good practicesAbility to think holistically about every aspect of software development, including testing, documentation, security and performance

Software Engineer, Modelling - Enterprise Insights - Improbable

Software Engineer, Modelling - Enterprise Insights

You need a strong engineering mindset, software experience, Python familiarity, knowledge of modelling tools, and a holistic approach to software development, including testing and performance.

You will develop algorithms, build data pipelines, create tools for model developers, optimize model performance, and collaborate with cross-functional teams on related projects.

We are seeking a Model Engineer to join our friendly, relaxed and inclusive team. You’ll be developing and implementing models and simulations used in our digital twins. Our models typically encode real-life systems and behaviours, allowing users to analyse performance and test different scenarios. This role is open to candidates from a wide range of technical backgrounds who have a passion for problem-solving and a desire to work in a collaborative and supportive environment. You'll have the chance to work alongside a multidisciplinary team of scientists, modellers, and software engineers who collaborate closely with our product team to take modelling to the next level.Your Opportunity:<ul><li>Contribute to developing and implementing algorithms which result in plausible modelling behaviour</li><li>Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces</li><li>Building tooling that enables model developers to do their work quicker and better</li><li>Profiling and improving the performance of models so that we can reach new levels of speed and scale</li><li>Collaborate with cross-functional teams across the Enterprise Insights team to support adjacent projects where required</li></ul>Why you're made for this:<ul><li>A strong scientific and engineering mindset, software engineering experience, and a desire to solve real-world problems</li><li>Eagerness to learn and apply model and data engineering to solve customer problems</li><li>Exposure to or experience with mathematical modelling paradigms (e.g., systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools</li><li>Familiarity with Python and a willingness to learn more advanced features of the language and software engineering design patterns</li><li>Knowledge of tools and libraries for modelling, data analysis, and scientific computing (e.g., NumPy, Pandas, SciPy)</li><li>Naturally pragmatic, balancing fast-moving project requirements with quality and good practices</li><li>Ability to think holistically about every aspect of software development, including testing, documentation, security and performance</li></ul>

<div>
 At Improbable, we want to help businesses navigate the increasingly more complex and intertwined world. Enterprise metaverses break down the organisational and technical siloes that have meant digital twins have not been fully exploitable by the broader business. They empower entire companies to continually optimise and prepare for the future by providing a digital representation that can be visualised, analysed, explored and experimented upon. We use enterprise metaverses to empower businesses to effectively explore future scenarios and respond to change and disruption more effectively using digital twins and enterprise metaverses.
 
 Enterprise Insights is a newly formed business unit of 30+ people within Improbable. You will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We’re motivated by the fulfilment of solving hard problems to achieve something profound and transformative.
 
 We are seeking a Model Engineer to join our friendly, relaxed and inclusive team. You’ll be developing and implementing models and simulations used in our digital twins. Our models typically encode real-life systems and behaviours, allowing users to analyse performance and test different scenarios. This role is open to candidates from a wide range of technical backgrounds who have a passion for problem-solving and a desire to work in a collaborative and supportive environment. You'll have the chance to work alongside a multidisciplinary team of scientists, modellers, and software engineers who collaborate closely with our product team to take modelling to the next level.
 <h2 class="jobSectionHeader"> Your Opportunity</h2>
 <ul>
 <li> Contribute to developing and implementing algorithms which result in plausible modelling behaviour</li>
 <li> Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces</li>
 <li> Building tooling that enables model developers to do their work quicker and better</li>
 <li> Profiling and improving the performance of models so that we can reach new levels of speed and scale</li>
 <li> Collaborate with cross-functional teams across the Enterprise Insights team to support adjacent projects where required</li>
 </ul>
 <h2 class="jobSectionHeader"> Why you're made for this</h2>
 <ul>
 <li> A strong scientific and engineering mindset, software engineering experience, and a desire to solve real-world problems</li>
 <li> Eagerness to learn and apply model and data engineering to solve customer problems</li>
 <li> Exposure to or experience with mathematical modelling paradigms (e.g., systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools</li>
 <li> Familiarity with Python and a willingness to learn more advanced features of the language and software engineering design patterns</li>
 <li> Knowledge of tools and libraries for modelling, data analysis, and scientific computing (e.g., NumPy, Pandas, SciPy)</li>
 <li> Naturally pragmatic, balancing fast-moving project requirements with quality and good practices</li>
 <li> Ability to think holistically about every aspect of software development, including testing, documentation, security and performance</li>
 </ul>
 
 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.
 
 <h2 class="jobSectionHeader"> About Us</h2>
 
 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.
 
 Life at ImprobableDiversity, inclusion and belonging
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Improbable

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