Backend Engineer; Python/GPU Risk Modelling
Listed on 2026-03-05
-
Software Development
Python, Backend Developer, AI Engineer
Backend Engineer (Python, FastAPI/Flask/Django
GPU/CUDA)
📍 Bristol (Hybrid)
đź’° ÂŁ55,000 - ÂŁ70,000 + Benefits
📝 Permanent
An innovative analytics organisation operating within the insurance and risk sector is looking for a Backend Engineer to join their growing technology team in Bristol.
This company builds advanced underwriting and risk modelling platforms that combine modern software engineering, cloud infrastructure, and high-performance computing. You'll join a collaborative, highly skilled team of engineers and data scientists working on systems that directly influence real-world underwriting and portfolio decisions.
This is an excellent opportunity for someone with strong Python backend experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.
The RoleAs a Backend Engineer, you will play a key role in developing and scaling backend services that power a next-generation risk modelling platform.
You’ll work closely with engineers and risk scientists to support GPU-accelerated modelling pipelines, design robust APIs, and ensure systems are reliable, performant, and production-ready.
Key Responsibilities- Develop and maintain backend services in Python using modern frameworks (e.g. FastAPI)
- Design and implement REST APIs for internal platforms and third‑party integrations
- Collaborate with scientists to support a GPU‑accelerated risk modelling engine
- Optimise backend services for scalability, performance, and reliability
- Integrate with underwriting, analytics, and portfolio systems
- Support cloud‑native deployments (GCP environment)
- Write clean, well‑tested, well‑documented code following best engineering practices
- Work in a cross‑functional team alongside engineers, data scientists, and domain specialists
- 3‑5 years' professional backend engineering experience with Python
- Strong experience with FastAPI (or similar modern Python frameworks)
- Experience with relational databases (e.g. Postgre
SQL) and ORMs such as SQL Alchemy - Experience working in cloud environments (GCP preferred)
- Solid understanding of testing, CI/CD, Git workflows, and clean code principles
- Strong communication skills and a collaborative mindset
- Degree in Computer Science or related technical discipline
- Exposure to GPU computing or acceleration frameworks (e.g. CUDA, CuPy, Numba)
- Experience with Terraform or infrastructure‑as‑code tooling
- Familiarity with Kubernetes or other cloud orchestration platforms
- Interest in high‑performance or numerical computing
- Experience with in insurance, finance, or analytics‑driven environments
- Work on technically challenging, real‑world modelling systems
- Collaborate with highly skilled engineers and scientists
- Exposure to GPU acceleration and performance engineering
- Competitive salary (ÂŁ55k-ÂŁ70k)
- Hybrid working model (Bristol‑based team)
- Opportunity to influence and shape a growing platform
If you're a Python backend engineer looking to work on complex, high‑impact systems in a collaborative and forward‑thinking environment, we'd love to hear from you.
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