1 to 25 of 881 Computer Vision Jobs

to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers … e.g., DevOps pipelines, GitHub Actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably 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 … 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 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 (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 ❯

to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers … e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably More ❯

s extensive data sources. This includes co-defining labelling processes according to the developed KG and coordinate with domain experts that will perform the labelling. Select and fine-tune computer vision models leveraging the developed datasets to identify and classify elements. This includes being able to leverage existing models/architectures, or develop new architectures, depending on the … and Experience: The Machine Learning and R&D Engineer (KTP Associate) will hold a relevant degree. The candidate should have a good first degree and post-graduate degree in Computer Science or Data Science, or a related discipline, excellent programming skills, good communication skills and experience of successfully working as part of a team. We expect the post holder … to have the following requirements: Essential: Minimum of 2.1 and ideally a Master's degree in Computer Science, Data Science, or a related field (e.g., artificial intelligence), or equivalent industry experience. Ability to perform literature review, understanding scientific papers, drawing insights and ideas for implementation. Having previous publications is a plus. Experience in designing, developing, and implementing computer 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 ❯

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 ❯

clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs … plans, progress reports, and final presentations Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies Requirements Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GANs More ❯

version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of successfully leading … Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London More ❯

features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow More ❯

operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing … enhance efficiency across departments. You'll treat internal teams as valued clients, designing solutions that automate workflows and empower colleagues to work more effectively. This strategic role bridges product vision and technical implementation. You'll collaborate with subject matter experts to identify high-impact opportunities, design appropriate and scalable AI architectures, and work with engineering teams to bring these … Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex 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 ❯

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 Bachelor's 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 ❯

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 ❯

Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML … Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills: • Good 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 ❯

problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills — with teams and customers alike MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing … GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container-ization and orchestration (Docker, Kubernetes, Slurm More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools 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 ❯

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 ❯