Machine Learning Engineer

New Today

ResponsibilitiesDevelop fast and energy efficient vision-based machine learning pipelines for our clientsDevelop and maintain synthetic data generation systemsDevelop and maintain training loops for vision-based deep learning models in PythonEfficiently implement machine learning algorithms on edge-based hardware in C++Qualifications And ExperienceExpertise with PyTorch and with MLOps software stackFamiliarity with Computer Vision – classical and deep learning-based algorithmsHE degree in an analytical STEM fieldProvable prior experience using ML systems (extensive university projects are acceptable)Good software development and research skillsWhat We Will Assess You OnYour interesting projects producing or using cutting edge ML techniquesYour excellent software development techniquesA demonstration of your understanding of the latest techniques in computer vision and MLBonusKnowledge of cuda kernels and GPU architecture would be great (extra bonus for knowledge of TensorRT and Triton kernels)Experience with implementing ML applications on low power edge hardware is a plusKnowledge of ROS2/Gazebo/Nvidia Isaac Sim and robotics would helpExperience training highly quantised models (int8 and below)Experience synthesising data for any ML task (we’re particularly interested in vision but would be happy to hear any)A deep understanding of C++ certainly helps our team and would give you an edge (extra bonus for using LibTorch 2.5+)Provide Us WithA code repository or Jupyter notebook that you’re most proud of making – please make it self-contained, ORA written document in your own words about what you think is the next best thing in ML and why. #J-18808-Ljbffr
Apply
Location:
Greater London
Job Type:
FullTime

We found some similar jobs based on your search