Job Description
Senior Applied Machine Learning / Computer Vision EngineerOxford - hybrid workingc£90-130k DoE + EquityWe're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system.This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work.Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months.Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems.Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems.The Senior Machine Learning/Computer Vision Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate.Responsibilities : Model Development & TrainingDevelop and train models for perception, correspondence, and feature extractionDesign experiments to improve performance, robustness, and generalisationExplore novel architectures and approaches where appropriateData & Training InfrastructureBuild and maintain scalable training pipelinesWork with real-world and synthetic datasetsDesign evaluation frameworks and benchmarksDeployment & OptimisationOptimise models for edge and real-time deploymentImprove inference speed, memory efficiency, and robustnessIntegrate models into full perception pipelineApplied ResearchContribute to advancing the state-of-the-art in applied vision systemsCollaborate on research outputs suitable for top-tier conferencesBalance innovation with delivery constraintsRequirements : PhD in Machine Learning, AI, Computer Vision, or related fieldStrong experience with deep learning frameworks (PyTorch / TensorFlow)Strong experience with computer vision models and ML training and evaluation pipelinesStrong programming skills (Python, Java, C, CUDA and/or C++)Demonstrated ability to translate theory into working systemsCitizenship of a NATO country (required due to project constraints)Highly Desirable: Publications in NeurIPS, CVPR, ICCV, etc.Experience deploying models to edge / embedded systemsExperience with multi-view or 3D perception problemsWe encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.TPBN1_UKTJ