Autonomous Systems ML Engineer — Real-World Deployment

Understanding Recruitment; Greater London; Hybrid; GBP 90,000 - 115,000; Full time

Job summary

Understanding Recruitment is seeking a Machine Learning Engineer to help build autonomous systems in London with hybrid work arrangement (3 days per week on site).

You’ll contribute across ML engineering, MLOps and data engineering, training and optimizing deep learning models, and deploying them to real-world autonomous platforms using Python, C++ or Rust, and leveraging Docker/Kubernetes in a GPU-enabled stack.

Qualifications

• Depth in ML Engineering, MLOps or Data Engineering.
• Strong experience with modern ML development and deployment.
• Experience with computer vision, embedded ML or large-scale data.
• Production experience taking complex ML or data systems to real-world deployment.

Responsibilities

• Training and optimising deep learning models.
• Developing computer vision and vision-language-action architectures.
• Optimising models for constrained and embedded hardware.
• Building ML training and inference infrastructure with GPU clusters, cloud, Docker and Kubernetes.

Skills

ML Engineering

MLOps

Data Engineering

Python

C++

Rust

Tools

Docker

Kubernetes

Job description

Understanding Recruitment is seeking a Machine Learning Engineer to help build autonomous systems in London with hybrid work arrangement (3 days per week on site).

You’ll contribute across ML engineering, MLOps and data engineering, training and optimizing deep learning models, and deploying them to real-world autonomous platforms using Python, C++ or Rust, and leveraging Docker/Kubernetes in a GPU-enabled stack.