Senior Software Engineer – API & ML Infrastructure

SoCode; London; On-site; GBP 65,000 - 90,000; Full time

Job summary

A stealth-mode deep tech startup is seeking a Senior Software Engineer to lead the development of a high-performance API platform for machine learning models. This role involves ownership of the infrastructure stack, working at the intersection of MLOps and cloud-native architecture. Ideal candidates should have significant experience in Python, backend systems, and a strong understanding of ML deployments.

Benefits

Equity with significant upside

Work at the cutting edge of ML systems

Autonomy and ownership from day one

Fast growth path

Close-knit team of engineers and researchers

Qualifications

• 5+ years of software engineering experience.
• Strong backend skills with Python and REST APIs.
• Proven experience with cloud-native systems and scaling.

Responsibilities

• Build scalable APIs with FastAPI and modern web tooling.
• Design and maintain ML model serving infrastructure.
• Own deployment using Kubernetes and CI/CD pipelines.

Skills

Python

REST APIs

FastAPI

Kubernetes

Terraform

ML deployment

React

Tools

AWS

CI/CD

Terraform

Job description

Social network you want to login/join with:

Senior Software Engineer – API & ML Infrastructure, London

Client: SoCode

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference:

ea490a1f1707

Job Views:

4

Posted:

29.06.2025

Expiry Date:

13.08.2025

Job Description:

About Us

We’re a stealth-mode deep tech startup rethinking how AI models train, adapt, and scale. Our mission is to optimise large-scale AI systems — making them faster, smarter, greener, and cheaper. If you’re excited by infrastructure that powers the frontier of machine learning, we’d love to talk.

The Role

We’re looking for a Senior Software Engineer to lead development of a high-performance API platform that serves machine learning models at scale. You’ll take full ownership of the infra stack — from backend APIs to deployment and scaling. This role sits at the intersection of MLOps, cloud-native architecture, and distributed systems.

What You’ll Do

1. Build scalable APIs with FastAPI (or similar), Python, and modern web tooling
2. Design and maintain ML model serving infrastructure
3. Collaborate with ML engineers on training and deployment workflows
4. Own deployment: Kubernetes, Terraform, CI/CD pipelines
5. Build a slick analytics frontend using React or similar
6. Drive best practices in system design, performance, and reliability

What We’re Looking For

1. 5+ years of software engineering experience
2. Strong backend skills — Python, REST APIs, FastAPI
3. Proven experience scaling cloud-native systems (AWS, microservices, IaC)
4. Kubernetes + Terraform expertise in production environments
5. Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX)
6. Frontend skills with React/TypeScript or similar
7. Bonus: big data / real-time analytics / multi-cloud

Why Join?

1. Equity with serious upside and rapidly rising valuation — early-stage, high-impact
2. Work at the cutting edge of ML systems and optimisation
3. Autonomy and ownership from day one
4. Fast growth path — help define both tech and culture
5. Close-knit, no-ego team of engineers and researchers