Senior Backend Engineer
Hybrid (London)$120k - $180kFull-timePosted 11mo ago
About the role
Senior Backend Engineer role at Model ML, an AI-native workspace for financial services. Build and scale robust backend systems, data pipelines, and security/compliance for enterprise clients; collaborate with ML, product, and infrastructure teams across London and other offices.
Responsibilities
- Design, develop, and maintain scalable backend services and APIs that power Model ML's AI workspace platform
- Build and optimize data pipelines for processing large-scale financial datasets with high accuracy and performance
- Implement robust security measures and ensure compliance with financial industry regulations (SOC 2, GDPR, FCA requirements)
- Collaborate with ML engineers to productionize machine learning models and integrate them into backend systems
- Optimize database schemas and queries for high-throughput, low-latency operations across distributed systems
- Lead technical design reviews and mentor junior and mid-level engineers
- Monitor system performance, troubleshoot production issues, and implement solutions to improve reliability and uptime
- Contribute to engineering best practices, code quality standards, and technical documentation
Qualifications
- 7+ years of professional backend engineering experience with a proven track record of building and scaling production systems
- Expert-level proficiency in Python and modern web frameworks, particularly FastAPI (or similar frameworks like Flask or Django)
- Deep understanding of relational databases, especially PostgreSQL—including query optimisation, indexing strategies, and performance tuning
- Proven experience scaling databases
- Strong knowledge of caching strategies and in-memory data stores, particularly Redis
- Hands-on experience with asynchronous task processing using Celery or equivalent distributed task queues
- Proficiency with message brokers and event-driven architectures (Azure Service Bus, RabbitMQ, Kafka, or similar)
- Solid understanding of RESTful API design principles and microservices architecture patterns
- Experience with cloud platforms (Azure preferred; AWS or GCP acceptable) and containerization technologies (Docker, Kubernetes)
- Strong knowledge of security best practices, authentication/authorization mechanisms, and data encryption
- Familiarity with CI/CD pipelines, automated testing, and version control systems (Git)
- Excellent problem-solving skills with the ability to debug complex distributed systems
- Strong communication skills and experience collaborating with cross-functional teams
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Skills
Required:PythonFastAPIPostgreSQLRedisCeleryMessage BrokersREST APIsMicroservicesCloud & ContainersSecurity & ComplianceCI/CDDistributed SystemsTeam Leadership
Benefits
- Competitive salary + equity
- Performance-based incentives
- Opportunity to be instrumental in our expansion into the APAC market
- Supportive and innovative work environment
- Reporting directly to the founders with track record of exits
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Model ML
AI Workspace for Financial Services.
Team: Chaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales Arns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product.
artificial-intelligencesaasfinanceb2b
More open roles at Model ML
- Head of IT & Compliance2mo agoNew York, NY · Operations
- Data, Strategy, & Ops5mo agoHybrid (London) · Data, Strategy, & Ops
- GTM Lead7mo agoHybrid (New York, NY) · Growth Team
- Full Stack Data Scientist10mo agoHybrid (London)
- Full-Stack Engineer11mo agoHybrid (London) · Engineering