51 to 75 of 135 Remote Computer Vision Jobs

rapid pace across the globe. What will you be doing? As our Team Lead for the ML Performance team, you will define the technical vision and roadmap for large-scale model training, inference and optimisation. By partnering with researchers and research teams you'll identify high-impact initiatives and … Who are you? You are a natural leader, with experience leading teams or high impact projects (beyond POC). You have a background in Computer Vision/Computer Science and 3+ years of industry experience. (PhD preferred). You have worked on optimising large models for over More ❯

rapid pace across the globe. What will you be doing? As our Team Lead for the ML Performance team, you will define the technical vision and roadmap for large-scale model training, inference and optimisation. By partnering with researchers and research teams you'll identify high-impact initiatives and … Who are you? You are a natural leader, with experience leading teams or high impact projects (beyond POC). You have a background in Computer Vision/Computer Science and 3+ years of industry experience. (PhD preferred). You have worked on optimising large models for over More ❯

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 … 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 More ❯

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 … . 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. More ❯

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 … . 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. 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 ❯

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 ❯

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 ❯

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 ❯

Orchestrate teams to deliver AI solution blueprints, ensuring alignment with strategic objectives and efficient execution. Qualifications: Educational Background: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Management and Technical Expertise: Extensive hands-on experience with platform MLflow and MLOps databricks features. Popular … AI solutions using Python, PyTorch, and leveraging platforms like Databricks and Snowflake. Domain Knowledge: Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Data Proficiency: Expertise in feature engineering, data preprocessing, model tuning, and evaluation. MLOps and Cloud Computing: Experience in More ❯

related roles Proficient in Python programming language Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker Ability … engineering standard methodologies, such as version control, code review, CI/CD, etc You might also have... Master's degree or equivalent experience in computer science, engineering, statistics, or related fields Experience in working with large-scale and sophisticated data sets Experience in applying machine learning to domains such More ❯

deploy scalable AI systems. Key Responsibilities: Develop and implement AI and machine learning solutions to address business challenges. Utilize expertise in Natural Language Processing, Computer Vision, and advanced analytics to create AI-driven applications. Stay up to date with emerging AI trends, ensuring the adoption of best practices … scalable AI applications. Work alongside cross-functional teams to integrate AI solutions into business operations. What You’ll Need: A Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, with a focus on AI or Machine Learning. Relevant industry experience in AI, Machine Learning, or Advanced More ❯

deploy scalable AI systems. Key Responsibilities: Develop and implement AI and machine learning solutions to address business challenges. Utilize expertise in Natural Language Processing, Computer Vision, and advanced analytics to create AI-driven applications. Stay up to date with emerging AI trends, ensuring the adoption of best practices … scalable AI applications. Work alongside cross-functional teams to integrate AI solutions into business operations. What You’ll Need: A Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, with a focus on AI or Machine Learning. Relevant industry experience in AI, Machine Learning, or Advanced More ❯

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 More ❯

speech to text systems Strong academic history including a 2.1 or 1st class degree Ideally a Ph.D. in a technical or scientific discipline – Mathematics, Computer Science, Physics, or Engineering etc (Beneficial) Very strong Python experience Experience with machine learning frameworks, such as PyTorch or TensorFlow Strong analytical skills Ability … Innovation Leader/Research Scientist AI/Applied Machine Learning Expert/AI Technology Strategist/AI Systems Architect/Predictive Analytics Lead/Computer Vision Specialist/AI Development Manager/Large Language Models Expert/AI Project Lead/Data Innovation Manager/AI R&D More ❯

AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are You the Right Candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and … innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures More ❯

AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and … innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures More ❯

AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and … innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

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 … 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 More ❯

project within a company. You bring solid and broad knowledge in Machine Learning, in-depth knowledge in multiple application domains (e.g. Natural Language Processing, Computer Vision) and expert knowledge in statistics. You are proficient in the Python Machine Learning stack (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), have More ❯

Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions You should have the following: MSc in computer science, artificial intelligence, machine learning, robotics or a related engineering field 4 years of relevant experience researching and applying modern ML in areas such … as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding The ability to write clean and maintainable code in Python, Rust, C++ or Java Experience with frameworks such as PyTorch, Tensorflow or JAX Strong written and verbal communication skills to document your work effectively and … Excitement about the opportunity to take ownership for building AI within a high-performance, mission-focused team Ideally, you would also have: PhD in computer vision, machine learning, robotics, or a related field Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS More ❯

and experience — talk with your recruiter to learn more. Base pay range Up to £140k base Building teams within the AI space. Machine Learning, Computer Vision and Gen AI specialist. Job Title: Head of Data Type of Company: AI Biotechnology Location: London (Hybrid) The Company Our client is … on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and contributions to top ML conferences (NeurIPS More ❯

ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/ More ❯