Summary
✨ AI‑Generated
A hands-on Python engineering role focused on building and scaling platform capabilities for high-performance simulation workflows, data-intensive pipelines, and AI-driven applications. The position requires strong commercial Python experience alongside cloud, containerization, backend or full-stack development, and solid design and architecture skills.
Highlights
Hands-on role tackling technically deep problems across high-performance simulation, data-intensive systems, and AI-driven applications. Offers hybrid working and the opportunity to contribute to scalable cloud-based platforms and architecture.
Description
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 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: 5+ 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.
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 😊
