4 of 4 Permanent Computer Vision Jobs in Oxfordshire

fluid handling and automated microscopy robots. This is a hands-on, NPI-focused role where your primary responsibility will be designing and implementing computer vision models for image recognition in cell biology. You will also: Collaborate with software engineers to integrate computer vision models into … needed. This provides a unique opportunity to gain experience across various departments and expand your skill set. Requirements (essential) Degree in engineering, physics, computer science, or a related field. Advanced degrees preferred. Strong experience in computer vision (PyTorch, TensorFlow, OpenCV). Proficiency in Python Experience using version

managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with

Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability

engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic