15 of 15 Computer Vision Jobs in Cambridgeshire

Senior Applied Scientist, Computer Vision, Camera and Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception … with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. … in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make More ❯

You will need to login before you can apply for a job. Senior Applied Scientist, Computer Vision, Camera and Sensors Sector: Media and Publishing, Science and Pharmaceutical, Technology Role: Senior Executive Contract Type: Permanent Hours: Full Time DESCRIPTION The Camera and Sensors team is looking for a passionate … talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key Responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop … novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's More ❯

across multiple disease areas. We are in search of an exceptional postdoctoral scientist with key responsibilities: Design, develop, and implement cutting-edge AI and computer vision solutions to address high-priority scientific challenges in biomedical imaging. Your work will directly contribute to advancements in drug discovery and healthcare. … to extract actionable insights from complex, unstructured biomedical image data. Contribute to the development of scalable core technologies that enable the deployment of advanced computer vision solutions across a variety of imaging modalities, including radiology, and brain imaging. Develop and deploy models using containerization technologies such as Docker … publications, patents, technical reports. Required Qualifications: A Ph.D. (completed within the past 3 years, or to be completed within the upcoming 6 months) in computer science, artificial intelligence, neuroscience, biomedical science, electrical engineering, biomedical engineering, biostatistics, statistics, mathematics, or related disciplines. Demonstrated experience in driving research in computer More ❯

deliver high quality software. BASIC QUALIFICATIONS Graduated less than 24 months ago or about to complete a Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related fields at time of application Knowledge of Computer Science fundamentals Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience such as linear programming and nonlinear optimisation Ability to effectively articulate technical challenges and solutions Adept at handling ambiguous or undefined problems as well as … abstractly Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm More ❯

Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse … and software engineers. Bridge the communication gap between experimental scientists, algorithm developers, and software deployers. Who You Are Minimum Qualifications BS/MS in Computer Science/Biomedical Engineering or related quantitative field. Candidates should have relevant industry and/or academic experience. Experience with one or more programming …/Tensorflow, Pytorch Lightning, etc. Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics. Demonstrated track More ❯

Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse … and software engineers. Bridge the communication gap between experimental scientists, algorithm developers and software deployers. Who You Are Minimum Qualifications BS/MS in Computer Science/Biomedical Engineering or related quantitative field. Candidates should have relevant industry and/or academic experience. Experience with one or more programming …/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi-modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics. Demonstrated track More ❯

highly ranked international university, with an outstanding academic background and the highest pass marks. Key Responsibilities: * Conduct cutting-edge research in the fields of Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, or Natural Language Processing. * Develop and implement advanced machine learning models and algorithms. * Work with large … PhD in a relevant field (mathematics, science, engineering, computing) from a top-tier university. * Proven track record of published work in areas such as Computer Vision, Deep Learning, Machine Learning, AI, or NLP. * Strong mathematical and analytical skills, including knowledge of statistics and probability. * Experience with neural network More ❯

students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd and 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to … on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and Structured Data (4F10), Computer Vision More ❯

environment. Work with the Principal SRE and Scrum Master to analyze wellbeing survey outcomes and develop improvement plans. Invisible AI is an on-premise computer vision platform for manufacturing that uses AI to improve worker productivity and safety by analyzing manual assembly work. Education Requirements: Bachelor's degree … in Computer Science, Information Technology, or a related field, or equivalent experience. Experience Requirements: 5+ years of experience building and managing infrastructure at scale, particularly on the edge. Proficiency in Python, Docker, Linux systems, and scripting (Bash, Python). Strong expertise with infrastructure automation tools (Terraform, Ansible). Experience … solutions including ASR, NMT, NLP/U, LLMs, and TTS, serving diverse industries globally. Education Requirements: BS in a field related to Computational Linguistics, Computer/Data Science. Experience Requirements: 2+ years of industry experience (desirable for Site Reliability Engineer role). Other Requirements: Strong knowledge of Linux. Strong More ❯

frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

The Role: In this role, you'll lead cross-functional project teams working on innovative AI-powered platforms for global clients. From NLP and computer vision to predictive analytics, your role will span both internal product development and external client projects. You'll bridge the gap between data More ❯

The Role: In this role, you'll lead cross-functional project teams working on innovative AI-powered platforms for global clients. From NLP and computer vision to predictive analytics, your role will span both internal product development and external client projects. You'll bridge the gap between data More ❯