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

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Job title: ML Infra Developer
Client: Performance Software Scale Up
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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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.


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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!
Please apply ASAP for more information.
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