ML Infrastructure Developer (Python/Rust) - Up to £200k base + Bonus + Benefits - London

Hunter Bond; Greater London; On-site; GBP 120,000 - 200,000; Full time

Job summary

Hunter Bond is seeking an ML Infrastructure Engineer in London to design and build scalable infrastructure for high-performance ML workloads. You will drive optimisations across data pipelines, compute orchestration, and model execution, enabling faster training and efficient deployment in production.

As an early member of a growing team, you will own architectural decisions, shape tooling, and implement robust observability and benchmarking to push model efficiency and throughput higher than

Qualifications

• 4+ years working with Python and/or Rust; other systems-level knowledge is a big plus.
• Experience working with highly distributed and scalable systems.
• Strong understanding of high level system design.
• Outstanding academic background; Ivy League Computer Science preferred.
• A curious and tech-driven personality.

Responsibilities

• Design and build the infrastructure that powers high-performance ML workloads.
• Identify performance bottlenecks and implement optimisations across the stack.
• Collaborate with ML engineers, researchers and platform teams.
• Establish observability, reliability and performance benchmarking practices.

Skills

Python

Rust

Distributed systems

System design

Curiosity

Education

Ivy League Computer Science Degree

Job description

Salary: up to £200,000 P/A + Bonus (DOE)

Location: London

The role:

We are seeking an ML Infrastructure Engineer to join a fast-growing team focused on optimising the performance and scalability of machine learning systems.

In this role, you will design and build the infrastructure that powers high-performance ML workloads, enabling faster training, efficient inference, and scalable deployment across distributed environments. You’ll work on systems that sit at the intersection of machine learning and high-performance engineering, helping to push the boundaries of model efficiency and throughput.

You will collaborate closely with ML engineers, researchers, and platform teams to identify performance bottlenecks and implement optimisations across the stack—from data pipelines and compute orchestration to model execution and hardware utilisation. Your work will directly impact how models are trained, deployed, and scaled in production environments.

As an early member of a growing team, you’ll have significant ownership over architectural decisions, contributing to the design of robust, scalable infrastructure and developer tooling. You’ll also help establish best practices around observability, reliability, and performance benchmarking.

This is an ideal opportunity for someone who enjoys low-level problem solving, distributed systems, and working with modern ML frameworks and infrastructure technologies. You’ll play a key role in building systems that make machine learning faster, more efficient, and more cost-effective.

You will have:

• 4 + Years working with Python and/or Rust - other systems level knowledge a big plus
• Experience working with highly distributed and scalable systems
• Strong understanding of high level system design
• Outstanding academic background - Ideally Computer Science Degree from an Ivy League University
• A curious and tech driven personality!

The organisation is one of the most elite Tech firms globally and you can expect to find:

• Stunning offices
• Generous benefits and bonus package - Market Leading!!
• Excellent career progression and the ability to learn from some of the best engineers on the planet.
• The opportunity to work with tech years ahead of competitors!