76 to 100 of 237 Computer Vision Jobs

software engineering. Proven expertise in developing autonomous robotic solutions and working with 3D geometry. Strong software engineering skills and a practical, problem-solving mindset. An interest in machine learning, computer vision or computer graphics. Comfortable working hands-on with hardware in a lab environment. If you're passionate about automation and excited by the opportunity to contribute More ❯

and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you … development and wellbeing. 💰 Competitive Package – Performance-based bonus, private medical insurance, generous pension scheme, 30 days’ annual leave, and extensive wellbeing benefits. What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong More ❯

our 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 Research Manager in the AI Lab. Responsibilities Develop new … 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, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and More ❯

world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. … Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data science with evidence of practical, real-world contributions. Master's degree (or higher) in Computer Science, Data Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong More ❯

world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. … Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data science with evidence of practical, real-world contributions. Master's degree (or higher) in Computer Science, Data Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong More ❯

best practices Stay abreast of emerging trends and technologies in AI, machine learning, cloud platforms, and analytics to inform strategic decisions Your Profile Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field Executive education or certifications in AI strategy, digital transformation, or innovation (e.g., MIT, Stanford, INSEAD programs) Certifications … analytics initiatives that drove measurable business outcomes Strong knowledge of enterprise architecture, data governance, and platform delivery methodologies (Agile/DevOps) Deep expertise in: Machine learning, deep learning, NLP, computer vision Data engineering, big data platforms, and analytics AI/ML model lifecycle management (MLOps) Cloud-native architectures and scalable AI infrastructure Strong understanding of emerging technologies (e.g. More ❯

Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python (must-have) and … General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation More ❯

developing edge to cloud solutions for compute, connectivity, and storage, and ensuring interoperability across product lines. Requirements Qualifications - MUST HAVE - MINIMUM REQUIREMENTS: Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field. Minimum 7 years of relevant experience, or advanced degree with 5 years of experience. Strong written … to find opportunities to deliver customer solutions within cost, performance, and schedule requirements. Serve as systems level focal throughout the program lifecycle as systems are developed, championing the conceptual vision and adapting it to reality. Mentor and train across the program to ensure approach, philosophy, and technology are understood and implemented so they provide required capabilities and value to … to enable advanced analytics and AI driven insights. Compute Requirements Mapping: Define edge and cloud computing requirements for multi application software architectures, including real time AI workloads such as computer vision and image augmentation. Stakeholder Communication: Present technical roadmaps and updates to stakeholders at all levels, ensuring alignment with strategic goals. Cross Company Collaboration: Partner with IT and More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

to deliver projects. Research and evaluate emerging technologies. Develop data science solutions based on tools and cloud computing infrastructure. Perform other duties as assigned. Qualifications: Advanced degree in in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as … well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing/Natural Language Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs … without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for More ❯

strategic decision-making. Build and maintain scalable ETL/ELT data pipelines that integrate structured and unstructured data from multiple business sources. Experiment with AI techniques such as NLP, computer vision, and generative models to explore innovative applications across the organization. Partner with business and IT teams to define analytics requirements, operationalize models, and integrate outputs into dashboards … analytics dashboards using Power BI, SAP Analytics Cloud, or similar tools to deliver actionable insights. Ensure data integrity, quality, and governance across predictive systems. Requirements: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based More ❯

welfare through intelligent systems. Data & Insights: Collaborate with data scientists and product teams to integrate AI models, manage data pipelines, and expose actionable insights through our platform dashboards. Architectural Vision: Contribute significantly to the architectural design and technical roadmap of our platform, advocating for best practices, scalability, and performance. Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, conduct code … Applied AI Knowledge: Practical experience integrating and consuming AI/ML models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI More ❯

English (German is a plus) Compensation : Competitive salary with performance-based bonus and advancement opportunities Your Responsibilities Design and optimize ML models for time series forecasting, anomaly detection, and computer vision (e.g., quality inspection) Apply advanced techniques such as LSTM, CNN, XGBoost, PCA, clustering, and Explainable AI (e.g., SHAP, LIME) Analyze structured and unstructured data from operational and More ❯

systems that bring together best-in-class sensing with real-time AI.We're looking for a Staff AI/ML Engineer with deep expertise in robot policies, task planning, computer vision and decision-making under uncertainty . Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.You'll be a core … trends in AI for robotics (e.g., expert and generalist policies , foundation models ), and help integrate relevant advancements into our workflows. Qualifications 5+ years of experience in AI, robotics, or computer vision. Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred. Knowledgeable in the areas of robot locomotion, robot kinematics and … robot dynamics. Proficient in Python, with practical experience using ROS , PyTorch or TensorFlow . Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal. Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git). Skilled at communicating technical insights, collaborating with More ❯

operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: Background in Computer … Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running reliably. Curious, proactive, and excited to work in a fast-moving More ❯

operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: Background in Computer … Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running reliably. Curious, proactive, and excited to work in a fast-moving More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯