Remote-first

Fully flexible hours

Dog friendly

Job Description

Improbable’s SKYRAL platform enables government and military users to respond to a diverse range of complex threats in a flexible, tightly integrated way. Built from the ground up with open standards and supported by an ecosystem of partners from across industry and academia, it’s a more efficient, flexible and cost-effective way to build and operate synthetic solutions.
Model Engineers at Improbable Defence are focussed on creating the models that will power the next generation of decision support technology. We work closely with applied scientists and software engineers to create these models and the tooling to support them. Our culture is friendly, relaxed and inclusive. We divide up ownership across the team, so expect responsibility early on, but the team is large enough that you will be fully supported by colleagues.
Our primary responsibility is to deliver robust, performant, scalable scientific models into production that run in simulation and sit at the heart of our core product offering. This means building data pipelines to generate accurate representations of real-world environments and the algorithms for simulating their dynamics. We also build tooling that enables us to develop, test and integrate models faster. We do this on the timescale of days and weeks, not months and years. We are not a Product Development team; we are a customer-facing, solution-focussed Rapid Application Development (RAD) team.

Your Opportunity:

  • Productionising prototype models ensuring they are scalable, robust and performant.
  • Developing and implementing algorithms which result in plausible modelling behaviour.
  • Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces.
  • Building tooling that enables model developers to do their work quicker and better.
  • Profiling and improving the performance of models so that we can reach new levels of speed and scale.
  • Identifying and implementing generalisations and abstractions of existing models so that new models can be created easily and efficiently.
  • Contribute to building a next-generation product which will help governments gain a richer understanding of their most critical problems through the power of virtual worlds.
  • You will work closely with applied scientists to take prototypes and model designs into a production environment. The main languages we use are Python and C++.
  • You will support other software engineers and applied scientists in developing best practices.

Why You're Made For This:

  • Significant experience working as a professional engineer, applying model and data engineering to solve customer problems.
  • Skilled in Python including the more advanced features of the language (e.g. decorators, and built-in methods).
  • Professional experience of tools and libraries for modelling and scientific computing (e.g. NumPy, SciPy, PyTorch, Scikit-learn)
  • Experienced with data manipulation and processing, using technologies such as SQL or pandas
  • Ability to think holistically about every aspect of software development, including testing, documentation, security and performance.
  • Experienced in working on large projects alongside product managers, architects, delivery managers and quality engineers
  • History of working closely and effectively with external customers, exploring their problem space, understanding their requirements and building solutions to satisfy them (preferred).
  • Track record of sharing knowledge with and learning from others, and actively mentoring colleagues to improve their skills.
  • Experience with C++ is a benefit but not essential.

Company benefits

Work from anywhere scheme – Almost every role is available as remote, hybrid or in-office. We have a great office in central London, but are equally happy if you’d prefer to work from home some or all of the time.
Unlimited annual leave
Health insurance
Dental coverage
Dog friendly office
Work from home allowance
Enhanced maternity leave – 26 weeks full pay + 13 weeks statutory maternity pay
Enhanced paternity leave – 4 weeks full pay
Shared parental leave
Pregnancy loss leave
Fertility treatment leave
Adoption leave
Enhanced sick pay
Enhanced WFH tools
Teambuilding days
Open to part time work for some roles
Wellbeing allowance
Compassionate leave
Mental health platform access
Women’s health leave
Time off in-lieu
Optional unpaid leave
Carer’s leave
In office massages
In office yoga classes
Commuter loan
Fully stocked snack cupboard
Meditation space
Cycle to work scheme
Life insurance
Annual pay rises
Interest free loans
Share options
Equity packages
Sabbaticals
Volunteer days
Personal development budgets
Relocation packages
L&D budget
Employee discounts
Financial coaching
Employee assistance programme
Skilled worker visas
Charity donation scheme
Location
93%
Employees are very happy with their working location freedom
Hours
87%
Employees are very happy with the flexibility in the hours they work
Benefits
83%
Employees are very happy with the benefits their company offers
Work-life balance
80%
Employees feel that they can switch off quite easily from work
Role modelling
85%
Employees feel that flexible working is part of the culture
Autonomy
88%
Employees feel they have complete autonomy over getting their work done

Working at Improbable

Office locations

Spitalfields, London (next to Liverpool Street Station)

Hiring Countries

United Kingdom

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
DeepTech, Data & AI

DeepTech, Data & AI

Industry awards 2023