Machine Learning Engineer
Machine Learning Engineer role at a company developing autonomous systems for air, land, and maritime platforms. Work with deep learning, computer vision, LiDAR, Python, C++, Rust, Docker, Kubernetes, and GPU clusters to deploy ML on real autonomous systems.
Free Tailor for ATS: 10/10 runs left
Machine Learning Engineer – Autonomous Systems
📍 London | Liverpool Street | Hybrid – 3 days per week
Want to build ML that actually leaves the lab?
I’m representing a technology company developing advanced autonomous systems across air, land and maritime platforms. They’re growing their ML team in London and hiring across ML Engineering, MLOps and Data Engineering.
Why it’s interesting
Deploy ML onto real autonomous systems
Work across deep learning, computer vision and embedded AI
Solve problems involving imagery, LiDAR, telemetry and sensor data
Work closely with hardware and systems engineers
Take models from training through to real-world deployment
What you could work on
Depending on your background:
Training and optimising deep learning models
Computer vision and vision-language-action architectures
Model optimisation for constrained hardware
ML training and inference infrastructure
GPU clusters, cloud, Docker and Kubernetes
Large-scale geospatial and sensor datasets
Synthetic data and simulation
What they’re looking for
Strong experience in one of these areas matters more than ticking every box.
You’ll likely have a background in ML, MLOps or data engineering, alongside strong Python, C++ or Rust skills and experience taking complex systems into production.