5 of 5 PyTorch Jobs in Cambridgeshire

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers ...

probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc. You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch Ideally you will have an interest in the automotive sector and sustainability What's in it for you: Competitive salary - to £85k Private Health Care Life ...

sample, time, cohort) ● Practical knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch/TensorFlow/JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across ...

performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg ...

Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices … custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna → filters ...