Senior Backend Engineer — AI FinTech Platform, Equity

Model ML; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity

Performance-based incentives

Expansion opportunities

Job summary

Model ML, a leading AI workflow platform, seeks a Senior Backend Engineer in the UK to design and scale backend services powering the AI workspace. You will build robust data pipelines and ensure security for financial clients, enabling reliable model deployment and enterprise-grade operations.

You will collaborate with ML engineers, product teams, and infrastructure specialists, mentoring junior engineers and shaping engineering practices as the platform grows globally.

Qualifications

• 7+ years of professional backend engineering experience with production systems.
• Expert-level Python and FastAPI (or Flask/Django).
• Strong PostgreSQL knowledge with query optimization and indexing.
• Experience scaling databases and using Redis for caching.
• Experience with Celery or distributed task queues.
• Familiarity with cloud platforms and containers (Azure preferred; AWS/GCP acceptable).
• RESTful APIs, microservices architecture, and CI/CD pipelines.
• Security, authentication/authorization, and data encryption best practices.
• Excellent collaboration with cross-functional teams.

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 improve reliability and uptime.
• Contribute to engineering best practices, code quality standards, and technical documentation.

Skills

Python

FastAPI

PostgreSQL

Redis

Celery

RESTful APIs

Docker

Kubernetes

Security best practices

Git

Education

Bachelor's degree in Computer Science

Tools

Azure

AWS

GCP

CI/CD

Job description

Model ML, a leading AI workflow platform, seeks a Senior Backend Engineer in the UK to design and scale backend services powering the AI workspace. You will build robust data pipelines and ensure security for financial clients, enabling reliable model deployment and enterprise-grade operations.

You will collaborate with ML engineers, product teams, and infrastructure specialists, mentoring junior engineers and shaping engineering practices as the platform grows globally.