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Machine Learning Engineer
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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
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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
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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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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