Senior Machine Learning Engineer

Arcus Search; Greater London; On-site; GBP 100,000 - 200,000; Full time

Job summary

Arcus Search is partnering with a highly technical hedge fund to hire a Senior Machine Learning Engineer in London. This role concentrates on ML systems—not just models—and requires hands-on work across training, inference, and the GPU estate.

You will trial new ML frameworks and hardware, speed up workloads, and chase bottlenecks across compute, networking, and storage while collaborating with engineers to push workloads further.

Responsibilities

• Work on ML systems focusing on training/inference efficiency across a large GPU estate.
• Identify and resolve bottlenecks across compute, networking, and storage.
• Collaborate with engineers to push ML workloads further and optimise performance.

Job description

Senior Machine Learning Engineer, London

I'm working with a highly technical organisation, a new client of ours and a global hedge fund, that wants a Machine Learning Engineer focused on the systems that make ML work, not on building models.

What you'll be working on:

• Trialling emerging ML frameworks and hardware before most people have heard of them
• Speeding up training and inference across a very large GPU estate
• Tracking down tricky bottlenecks across compute, networking and storage
• Partnering with engineers around the business to push their ML workloads further

What makes the opportunity interesting:

• Time to experiment is built into the role
• Access to GPU resources few organisations can match
• Hiring is based on PyTorch depth and solid engineering, not titles
• Research labs or major tech firms are a natural background, but not a requirement
• A long term technical career path with no push into management

This would suit someone who loves working out why an ML job behaves the way it does, then making it quicker. Earning potential of an additional £100k to £200k.