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Software Engineer (Python)

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Onsite

Software Engineer (Python)

Trust In SODA

Software Engineer (Python)

Skills

PythonNumPyPyTorchMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

18 September 2026

What they need


We are partnering with an innovative technology business operating at the intersection of software engineering, artificial intelligence, and advanced computational modelling. Our client is building next-generation platform solutions that drastically accelerate engineering analysis and design processes across a range of industrial sectors.

They are looking for a Senior Python Engineer who is a problem-solver at heart and excited by deep technical challenges. In this hands-on role, you will help design, build, and scale platform capabilities that power high-performance simulation workflows, data-intensive pipelines, and AI-driven applications.

🚩London - Hybrid

What You Bring

  • Python Expertise: 4+ years of commercial software engineering experience with strong proficiency in Python and modern development practices.
  • Cloud Experience: Solid background building full-stack or backend applications using cloud platforms and containerisation technologies.
  • Design & Architecture: Proven ability to work with large-scale data processing systems and contribute to architectural decision-making.
  • Communication & Collaboration: Excellent communication skills with experience partnering across multidisciplinary teams of software engineers, data specialists, and domain experts.
  • AI-powered engineering tools

Nice to have:

  • Scientific Computing: Familiarity with scientific libraries like Pytorch, NumPy, or visualisation tools like Matplotlib, plotly,..
  • CFD

Key Responsibilities

  • Platform Architecture & Backend: Design and scale cloud-native backend systems, ensuring high reliability, performance, and long-term extensibility.
  • Cloud & Infrastructure: Drive cloud-native best practices across resiliency, observability, security, containerisation, and deployment strategies.
  • Integrations & APIs: Develop robust APIs to integrate external modeling tools, third-party applications, and complex data sources.
  • Technical Leadership & Quality: Set high engineering standards, conduct code reviews, participate in architecture discussions, and mentor junior engineers.

Desirable Experience

  • Exposure to scientific computing, numerical methods, machine learning tooling, or computational workloads.
  • Familiarity with engineering software, simulation tools, or 3D/CAD environments

If this sounds like the right challenge, let's talk 😊

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