e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure More ❯
e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure More ❯
e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure More ❯
Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Omnis Partners
computer vision projects Deep expertise in traditional CV approaches Strong experience with video-based computer vision Experience with Spatial AI or scene understanding Proficiency with Python and CV frameworks (OpenCV, PyTorch, TensorFlow, etc.) Ability to operate autonomously and deliver within fast-paced, high-pressure environments Experience with Vision-Language Models (VLMs) is prefered but not essential More ❯
computer vision projects Deep expertise in traditional CV approaches Strong experience with video-based computer vision Experience with Spatial AI or scene understanding Proficiency with Python and CV frameworks (OpenCV, PyTorch, TensorFlow, etc.) Ability to operate autonomously and deliver within fast-paced, high-pressure environments Experience with Vision-Language Models (VLMs) is prefered but not essential More ❯
model training pipelines tailored to the client’s data, goals, and deployment constraints. Debugging client issues and delivering effective solutions with a strong understanding of the YOLO package, Python, OpenCV, and model behavior. Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs. Serving as a key technical advisor during customer engagements, ensuring … client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working More ❯
model training pipelines tailored to the client’s data, goals, and deployment constraints. Debugging client issues and delivering effective solutions with a strong understanding of the YOLO package, Python, OpenCV, and model behavior. Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs. Serving as a key technical advisor during customer engagements, ensuring … client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working More ❯
