1 to 25 of 438 Computer Vision Jobs

strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to … complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred … experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 - 1. Background in a relevant domain (eg, healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family). Familiarity with on-device or edge More ❯

strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to … complex concepts to both technical and non-technical stakeholders. • Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. • Education: • Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred … experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 → 1 • Background in a relevant domain (e.g., healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). • Hands-on experience with large-scale language models (LLMs) and prompt engineering (e.g., GPT, BERT, T5 family). • Familiarity with on-device or edge More ❯

solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade … advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

systems that enable high-performance, mission-critical operations in support of Department of Defense intelligence, surveillance, and reconnaissance (ISR) efforts. This position plays a pivotal role in integrating advanced computer vision, machine learning (ML), and artificial intelligence (AI) capabilities into secure, modular software environments. The Software Engineer will collaborate with multidisciplinary teams including Data Scientists, ML Engineers, and … and maintain secure, scalable software solutions that support ISR and mission system operations. Collaborate with hardware engineers to ensure seamless integration of software with physical systems. Develop and optimize computer vision pipelines, including video analytics, object tracking, and feature extraction. Accelerate image processing tasks such as segmentation, similar-object labeling, clustering, and active learning. Leverage AI/ML … enhance metadata, improve model validation, and increase the speed of dataset enrichment. Deploy automation technologies to reduce time spent on data exploration, cleaning, and model training. Migrate and scale vision-based analytics pipelines to secure environments while ensuring operational reliability. Implement iterative processes to enhance object detection, motion tracking, and visual feature recognition. Participate in Agile sprint cycles, including More ❯

have real-world regulatory and policy implications. Duties and Responsibilities Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals Apply natural language processing (NLP), computer vision, or other domain … and non-technical stakeholders Share knowledge of best practices in data science, modeling, and computational techniques within the organization Required Experience/Skills Masters or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field 5+ years of hands-on experience in data science and computer research, with at least 3 years working in a research … e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively Strong understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) Familiarity with NLP, computer vision, or other specialized techniques relevant to computer and information research Experience with version control systems (e.g., Git) and software development practices Strong background in applying data More ❯

single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing, managing and supporting our customers' every need from end to end, so that they … as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. … knowledge sharing. Compliance & Ethics: Ensure that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements. Qualifications Required Qualifications Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying AI/ML models in a production environment. Proficiency in programming languages such as More ❯

driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models. As part of the AWS Multimodal generative AI science team, you'll lead innovative research projects, develop state-of-the-art algorithms … part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. More ❯

ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular … understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career pathways outside More ❯

ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. … Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques More ❯

P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Bachelor's/Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data … driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with implementing information search and More ❯

P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Bachelor's/Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data … driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with implementing information search and More ❯

Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯

Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯

impact solutions. DOD 8570 IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Advanced proficiency in Python, SQL, PySpark, MLOps, computer vision, and NLP, Databricks, AWS, Data Connections Cluster Training and tools such as GitLab, with proven success in architecting complex AI/ML pipelines. Demonstrated ability to write … the physical or mental requirements necessary for the job's performance. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions: Prolonged periods of computer desk work. Dexterity of hands and fingers to operate a computer keyboard and other computer components. Speaking and hearing are sufficient to converse and understand conversations, both More ❯

of experience across different roles • Understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service • Experience with computer vision algorithms and libraries such as OpenCV, TensorFlow, Caffe or PyTorch. • Technical expertise, experience in Data science and ML Our inclusive culture empowers Amazonians to deliver the best More ❯

what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and … your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. Demonstrate expertise in deep … learning for computer vision, natural language processing, reinforcement learning etc. Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process More ❯

Learning algorithms for enterprise applications. - Assist and enable federal customers to build their own applications. - Contribute to the design and implementation of new features. Qualifications: - Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience. - Excellent … can-do attitude, and seeks to make a difference. - Excellent verbal and written communication. - Ability to obtain a U.S. security clearance preferred. Nice to Have: - MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. - Real passion for developing team-oriented solutions to complex engineering problems. - Thrive in an autonomous, empowering and exciting environment. - Great verbal and … deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. - Experience with deep learning, natural language processing, computer vision, or reinforcement learning. - Conveys highly technical concepts and information in written form to technical and non-technical audiences. - The ability to work on multiple concurrent projects is More ❯

explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon. You'll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team … This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We're collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. BASIC QUALIFICATIONS - 3+ years of building models for … distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - 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 ❯

Ability to work independently, manage time effectively, and communicate clearly with stakeholders. Fluency in English; knowledge of French or Dutch is an advantage. Preferred Qualifications MSc or PhD in Computer Science, AI, Machine Learning, or a related field. Experience with MLOps tools and workflows. Knowledge of NLP, computer vision, or reinforcement learning is a bonus. Previous freelance More ❯

lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a … motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant … and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading More ❯

and experience will be advantageous: Experience with cloud platforms such as AWS, GCP, or Azure Familiarity with deep learning architectures and frameworks Knowledge of natural language processing (NLP) or computer vision (CV) Prior experience working in a remote or distributed team environment More ❯

builder You will strive for excellence, embrace change and be curious about future possibilities You will be motivated to make a difference and share and be passionate about our vision to effectively drive regeneration and housing delivery to create high-quality and home and thriving places You’ll be pro-active about your own development This is an opportunity … who are committed to making Homes England a Data-led organisation To deliver this you will have opportunities to learn and utilise tools and technologies such as Azure Databricks, Computer Vision and Azure Machine Learning alongside languages such as PySpark, Python, R and SQL As a Data Scientist you will also have opportunities to work alongside the engineering More ❯

as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical More ❯

for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models … Azure (preferred), AWS, or Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge AI projects with top-tier clients 🌟 Professional development More ❯

re on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computer vision models, including classification, object detection, and segmentation production models. … to streamline vehicle profiling and transform the online vehicle selling and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computer vision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high … combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your decision making. By applying your expertise in computer vision, leading Gen AI technologies exploration, and team leadership, you'll create cutting edge applications that push the boundary at the interface of AI in the online automotive More ❯