Edge ML Engineer - Vision, Robotics & Production (Equity)

Understanding Recruitment; Greater London; On-site; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Equity

Pension 7%

Private medical + dental

Free daily meals

Relocation support

Equipment/resources access

Ownership in engineering team

Job summary

Understanding Recruitment is seeking a talented Machine Learning Engineer to design, train and deploy state-of-the-art ML systems across computer vision, multimodal sensing, robotics and autonomy. You will work end-to-end—from experimentation and model development to deploying robust AI on cloud and edge hardware, collaborating with software engineers to ship production systems.

This London-based, office-first role involves engaging with customers, UK travel and occasional international

Qualifications

• Experience in building ML models for real-world deployment.
• Experience with computer vision and robotics projects is preferred.
• Exposure to edge computing and cloud deployment.
• Familiarity with MLOps practices and monitoring.

Responsibilities

• Design, train and deploy deep learning models for real-world problems.
• Work across computer vision, multimodal AI, perception and autonomy.
• Take models from research to production.
• Build end-to-end AI systems from sensor data to user interfaces.
• Optimize models for performance on edge and resource-constrained hardware.
• Collaborate with software engineers to integrate ML into production systems.
• Explore new approaches when existing methods are insufficient.

Skills

Computer vision

Robotics

Autonomous systems

GPUs

Edge hardware

Multimodal models

Vision-language models

MLOps

Model monitoring

Tools

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Job description

Understanding Recruitment is seeking a talented Machine Learning Engineer to design, train and deploy state-of-the-art ML systems across computer vision, multimodal sensing, robotics and autonomy. You will work end-to-end—from experimentation and model development to deploying robust AI on cloud and edge hardware, collaborating with software engineers to ship production systems.

This London-based, office-first role involves engaging with customers, UK travel and occasional international