Senior Software Engineer – API & ML Infrastructure

So Code Limited; Cambridge; On-site; GBP 90,000 - 120,000; 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 full ownership of the infrastructure stack, collaborating closely with engineers to optimize deployment processes and scale cloud-native systems.

Benefits

Equity with serious upside

Fast growth path

Autonomy and ownership from day one

Close-knit team environment

Qualifications

• Strong backend skills with Python and REST APIs.
• Proven experience scaling cloud-native systems, specifically AWS and microservices.
• Expertise with Kubernetes and Terraform in production.

Responsibilities

• Build scalable APIs using FastAPI, Python, and modern web tooling.
• Design ML model serving infrastructure and collaborate with ML engineers.
• Own deployment processes, ensuring performance and reliability.

Skills

Python

REST APIs

FastAPI

Kubernetes

Terraform

Tools

AWS

CI/CD

Job description

Senior Software Engineer – API & ML Infrastructure

Job details

Posted 04 July 2025 Salary £90000 - £120000 per annum, Benefits: Significant Equity Location London Job type Permanent Discipline Electronic and Hardware Engineering Reference BK-57-1

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. We are backed by leading VCs and already have commercial traction.

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

• Build scalable APIs with FastAPI (or similar), Python, and modern web tooling
• Design and maintain ML model serving infrastructure
• Collaborate with ML engineers on training and deployment workflows
• Own deployment: Kubernetes, Terraform, CI/CD pipelines
• Drive best practices in system design, performance, and reliability

What We’re Looking For

• Strong backend skills — Python, REST APIs, FastAPI
• Proven experience scaling cloud-native systems (AWS, microservices, IaC)
• Kubernetes + Terraform expertise in production environments
• Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX)

Why Join?

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

£90000 - £120000 per annum, Benefits: Significant Equity