Backend Engineer (Python, FastAPI/Flask/Django/GPU/CUDA)
Description
Backend Engineer (Python, FastAPI/Flask/DjangoGPU/CUDA) Bristol (Hybrid) £55,000 - £70,000 + Benefits Permanent
The Opportunity
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 Back End experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.
The Role
As a Backend Engineer, you will play a key role in developing and scaling Back End 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 Back End services in Python using modern frameworks (eg 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 Back End 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
About You
Essential:
3-5 years' professional Back End engineering experience with Python
Strong experience with FastAPI (or similar modern Python frameworks)
Experience with relational databases (eg PostgreSQL) and ORMs such as SQLAlchemy
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
Desirable:
Exposure to GPU computing or acceleration frameworks (eg 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 within insurance, finance, or analytics-driven environments
Why Apply?
Work on technically challenging, real-world modelling systems
Collaborate with highly skilled engineers and scientists
Exposure to GPU acceleration and performance engineering
Competitive salary (£55k-£70k)
Hybrid working model (Bristol-based team)
Opportunity to influence and shape a growing platform
If you're a Python Back End engineer looking to work on complex, high-impact systems in a collaborative and forward-thinking environment, we'd love to hear from you.
Skills
Want AI to find more roles like this?
Upload your CV once. Get matched to relevant assignments automatically.