76 to 100 of 820 Computer Vision Jobs

make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional More ❯

Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI More ❯

achieve competitive advantage through AI innovation. What You’ll Do: AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems. Solution Architecture – Design scalable, secure AI solutions using Azure Data Lake, Microsoft Fabric, and Databricks. Align AI strategies with business goals and More ❯

make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional More ❯

Experience in applied research PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and … and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an More ❯

on a mission to revolutionise the built environment with their cutting-edge 3D reconstruction and scene understanding system. They are seeking a Research Engineer with a strong background in computer vision, geometry processing, computer graphics, and machine learning. This role offers an exciting opportunity to work on challenging problems, develop innovative solutions, and see your contributions become … integral parts of a disruptive technology-focused business. What you'll do: As a Research Engineer (Computer Vision), you will play a pivotal role in shaping the future of our client's technology. Your expertise in computer vision techniques will be crucial as you work with image and 3D datasets, developing new skills along the way. … to create production-quality, robust code for industrial-scale use. Maintain, improve, and optimise algorithms to enhance performance and efficiency. Stay updated with the latest technologies and research in computer vision, computer graphics, and machine learning. Communicate the latest advances to the wider team when they should be applied to our data. Work closely with the team More ❯

an exceptional Geospatial Data Scientist (GDS) to join our team at the cutting edge of data focused geospatial analytics. This role sits at the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate will possess advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in various sensing … sensing and geospatial data science Provide technical consultation on remote sensing capabilities and limitations for project planning Other duties as assigned Qualifications: Bachelor's degree in Remote Sensing, GIS, Computer Science, Geospatial Science, Data Science, or related field (additional years of experience may be substituted for degree) 3+ years of experience working with remote sensing data in analytical applications … IR, and/or SAR sensing phenomenologies and their unique characteristics Strong programming skills in Python or R, with experience using geospatial libraries (e.g., GDAL, GeoPandas) Working knowledge of computer vision techniques applied to satellite/aerial imagery Proficiency with geospatial metadata standards and their importance in analysis Experience evaluating dataset suitability for ML training and deployment Experience More ❯

efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and … job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military … Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or More ❯

efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and … job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military … Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or More ❯

understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact … research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and … and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing … design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models … over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/ More ❯

You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing … design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models … over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/ More ❯

customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. … practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and … Kingdom 2 weeks ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago More ❯

development. Conduct experiments to improve model performance. Help train, retrain, and maintain ML systems for game development. Participate in meetings to support updates and provide insights. Requirements: BSc in Computer Science, Mathematics, or related field; certifications are a bonus. Proficiency in Python and C++ with a strong interest in AI/ML. Understanding of mathematics, statistics, probability, and ML … of 3D ML/DL is a plus. Strong analytical, problem-solving, and collaborative skills. Good understanding of data structures, software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control … GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include: 22 days holidays + Christmas closure & Bank holidays (increasing with service) Private Medical Insurance, dental, Vision Life Assurance, Income Protection, Critical Illness Cover Enhanced Family Leave Interest-Free, Tax-Free Loans Enhanced Pension Scheme Mental Health and Wellbeing Support Plus discounts, freebies, and social events! Life at Our Oxford More ❯

solutions that deliver real business impact. Document models, processes, and findings in a clear and structured way for stakeholders. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related field. 4+ years of experience in building and deploying AI/ML models, preferably in an industrial or manufacturing setting. Strong … PyTorch. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, etc.). Experience working with time-series, sensor data, and/or image data (e.g., computer vision). Knowledge of manufacturing systems (MES, PLCs, SCADA) is a plus. Fluent in English; knowledge of French or Dutch is a strong advantage. More ❯

World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting … your work with client teams and clients. Your qualifications and skills Master's degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Experience in client delivery with direct client contact Proven experience applying machine learning techniques to solve business problems Proven experience in … Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming More ❯

challenges, this role is for you. You will: Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning) Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions Refine training paradigms for real-world applications Integrate AI agents with enterprise … experience in software development or AI engineering in a production environment. Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow. Experience working with LLMs or large computer vision models, or generative AI models, including fine-tuning and inference optimization. Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations. Ability to prototype, experiment More ❯

United Kingdom 1 week ago London, England, United Kingdom 3 days ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks … United Kingdom 1 day ago London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 months More ❯

AI) and are looking to make a difference in how the latest clinical trials progress into the market? Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting opportunity for you to help take the reins … implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for accuracy, efficiency, and interpretability; Deploy AI solutions into production … training and deployment of AI tools including various forms of machine intelligence; and Participate in educating, training and development of more junior team members. Qualifications PhD in Artificial Intelligence, Computer or Data Science, or related field; Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development More ❯

Research and evaluate new technologies and best practices in AI and cloud computing and share knowledge and insights with the team. Required Qualifications and Experience Bachelor's degree in Computer Science, Engineering or other related scientific or technical discipline. At least 15 years of experience in software engineering, with a focus on cloud development. Proficient in one or more … based platforms and services. 3 or more years of experience using AI and machine learning concepts and techniques, such as supervised learning, unsupervised learning, deep learning, natural language processing, computer vision, etc. Preferred Qualifications and Experience Previous experience as a hands-on CTO. Full-stack development experience. Experience in designing and implementing cloud architectures that support AI and More ❯

across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration to proof-of-concept demonstrators for … academic partners, and internal teams to deliver mission-relevant innovation Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience More ❯

areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery-spanning early-stage concept exploration to proof-of-concept demonstrators … partners, and internal teams to deliver mission-relevant innovation Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Master's degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience More ❯

leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We're driven by our vision of 'Food and Companionship Enriching Life' and our approach to sustainability - the Elanco Healthy Purpose - to advance the health of animals, people, the planet and our enterprise. At Elanco … other AI/ML frameworks. Strong understanding of MLops principles and practices. Ability to design and implement complex ML systems. Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure). Familiarity with natural language processing or AI technologies (e.g., LLMs such … Microsoft Azure/Google Cloud. Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer). Working with cloud cognitive services (e.g., Azure Cloud Vision or Google Vision AI). Working with AI/Embeddings technologies (e.g., Google Matching Engine, Azure AI Studio, Vertex AI). Experience working in/with an infrastructure More ❯

Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or … environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance More ❯