Senior ML Systems Engineer - Scale & Performance

Arcus Search; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Arcus Search in London is seeking a Machine Learning Engineer to join a team building the systems and infrastructure behind large‑scale ML. This role focuses on ensuring the technology around ML workloads scales, performs, and remains robust, rather than building models all day.

You’ll work on distributed training, inference, profiling, and optimisation in GPU‑heavy environments, using Python, PyTorch and NumPy.

Qualifications

• Strong engineering judgement and problem-solving skills.
• Experience with distributed training, inference, profiling, and optimisation or HPC.
• Exposure to large-scale distributed systems and performance-sensitive workloads.

Responsibilities

• Improve performance and scalability of ML workloads across training and inference.
• Profile systems, identify bottlenecks, and understand impact of compute, networking, and storage on performance.
• Work with Python, PyTorch, NumPy in GPU-heavy environments and test new frameworks and hardware.

Skills

Python

PyTorch

NumPy

Profiling

Distributed systems

Education

Computer Science or related field

Tools

GPUs

High Performance Computing

Linux

Job description

Arcus Search in London is seeking a Machine Learning Engineer to join a team building the systems and infrastructure behind large‑scale ML. This role focuses on ensuring the technology around ML workloads scales, performs, and remains robust, rather than building models all day.

You’ll work on distributed training, inference, profiling, and optimisation in GPU‑heavy environments, using Python, PyTorch and NumPy.