ML Engineer – Edge AI for Robotics & Real-Time Systems

Amberes Recruitment; Greater London; On-site; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Amberes Recruitment seeks a hands-on AI/ML engineer to take large, complex models from research into production. You will deploy models that run in real customer environments with limited compute, working closely with the software team to shape the ML stack.

We value 3+ years building AI systems for real business problems, C++ inference experience (ONNX Runtime, TensorRT, libtorch), and strong DL knowledge (CNNs, time-series, transfer learning).

Qualifications

• 3+ years building and deploying AI systems that solved real business problems.
• Experience deploying ML inference in C++ (ONNX Runtime, TensorRT, libtorch).
• Strong deep learning knowledge, including CNNs, time-series models and transfer learning.
• A degree in computer science, engineering or a related field, or equivalent experience.
• A practical, problem-solving mindset and right to work in the UK.

Responsibilities

• Build and deploy data and inference pipelines handling many data types (images, time-series, point clouds).
• Deploy complex models to production where standard tools fall short.
• Collaborate with software engineers to optimize ML stack and edge deployment.

Skills

C++ deployment

Deep learning

Time-series models

Transfer learning

CUDA

GPU programming

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

ONNX Runtime

TensorRT

libtorch

Job description

Amberes Recruitment seeks a hands-on AI/ML engineer to take large, complex models from research into production. You will deploy models that run in real customer environments with limited compute, working closely with the software team to shape the ML stack.

We value 3+ years building AI systems for real business problems, C++ inference experience (ONNX Runtime, TensorRT, libtorch), and strong DL knowledge (CNNs, time-series, transfer learning).