26 to 50 of 127 Remote Computer Vision Jobs

and externally, adjusting technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 2-5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and … performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of More ❯

using our suite of in-house analytics and AI tools. Expect to work on exciting challenges including real-time messaging, graph network data visualisation, and integrating with LLMs and computer vision algorithms. About The Role: As a Frontend Engineer, you will lead the development and implementation of high-quality, data-driven user interfaces that bring our complex systems More ❯

team within Collaboraite , focused on developing a collaborative data and analytics platform. The work involves cutting-edge challenges; real-time event handling, secure data ingestion, working with LLMs and Computer Vision models, and crafting high-performance indexing and search pipelines. It's a great environment for engineers who want to work across a diverse stack, apply modern thinking More ❯

Computer Vision Engineer Engineer - Medical Imaging Location: Liège, Belgium Contract: Full-time, Permanent We are currently supporting a leading technology company in the recruitment of a Computer Vision Engineer to join their Vision Software team based in Liège . This is a unique opportunity to contribute to the development of advanced software solutions for the … of diagnostic and inspection technologies. About the Role As part of a highly skilled R&D team, you will work on the evolution of a state-of-the-art vision software toolkit used in medical image analysis and inspection systems . You will be involved in both applied and strategic research, developing and optimising complex algorithms used in pattern … 3D reconstruction, and AI-driven image analysis - all adapted to the specific challenges of the healthcare domain. Key Responsibilities Design, develop, and optimise C++ software libraries for image and vision processing Research and implement algorithms for 2D/3D medical image analysis Apply deep learning and conventional computer vision techniques to improve diagnostic accuracy Collaborate closely with More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud … infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real … or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML inference and production monitoring. Familiarity with computer vision models and workflows. Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF). Background working in early-stage startups (seed or Series A More ❯

PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This More ❯

operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP … LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a More ❯

operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP … LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a More ❯

operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP … LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a More ❯

We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language processing, computer vision, remote sensing, and signal intelligence. You’ll play a pivotal role—blending deep expertise with technical assurance, mentorship, and strategic influence. Why Join? Lead game-changing projects … in AI for RF, radar, acoustics, LLMs, knowledge graphs, vision, and edge autonomy Work across research & delivery , helping ideas evolve from concept to operational capability Engage with top-tier academics and shape collaborative research with universities Mentor and elevate a multidisciplinary team of scientists and engineers Hybrid working —typically 2 days onsite with flexible remote options One-stage interview More ❯

Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site More ❯

Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools … Senior Level role) High proficiency in Python and its data science stack. Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning Track record of good written and verbal communication of complex things in a simple way as well as ability to More ❯

product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including More ❯

product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including More ❯

One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art More ❯

One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art More ❯