5 of 5 Remote/Hybrid Machine Learning Jobs in Oxford

will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such … , AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch/TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship ...

Senior Applied Machine Learning/Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning/Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception ...

Description Senior Applied Machine Learning/Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning/Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera ...

autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core … perception techniques Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate System Integration Work closely with ML and systems engineers to integrate perception into deployable systems Analyse real-world performance and iterate on failure modes Ensure algorithms perform robustly outside controlled environments Engineering Execution Translate ...

genomics or bioinformatics to work directly alongside scientists and researchers, turning complex biological data into reliable, scalable datasets that can power AI and machine learning models. This role sits at the intersection of data engineering, genomics, and applied research - ideal for engineers who enjoy collaborating closely with scientists … world scientific progress. What you’ll work on Building robust pipelines to process and curate genomic datasets Turning raw sequencing and biological data into ML-ready training datasets Working with formats such as FASTQ, FASTA, VCF and other high-throughput biological data Collaborating with bioinformaticians, computational biologists, and ML teams ...