76 to 100 of 399 Permanent Computer Vision Jobs

+ equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision … SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred This role is looking for someone with 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 ❯

B.E.S. (Business & Engineering Solutions) is growing and thus welcoming a new Computer Vision Engineer in our team. As a Computer Vision Engineer at B.E.S., you will enjoy a collaborative environment where you will work closely with others in an organisation focused on innovation. Your responsibilities : Stay up to date with the state of the art in … compliance with embedded system standards through unit tests, documentation, and real-world testing. Integration of detection & tracking : Combine both modules into a unified solution Your profile: Degree in engineering (computer science, electronics, image processing, AI, or a related field), Strong skills in computer vision, image processing, and deep learning, Proficiency with tools such as Python, OpenCV, TensorFlow More ❯

passionate about visual intelligence and ready to work on cutting-edge image processing solutions for space and defence applications? Your Role We are looking for a skilled and driven Computer Vision & Image Processing Engineer to join our innovative team. You will develop and optimize algorithms that enable our advanced optical sensors to interpret and process visual data. Your … work will contribute directly to high-impact applications such as autonomous systems, target recognition, and detection. Your responsibilities include : Designing and implementing computer vision and image processing algorithms Working with large-scale image and video datasets to train and evaluate models Optimizing algorithms for performance and scalability on various hardware platforms Collaborating with software engineers, electronics engineers, and … product managers Keeping up with the latest developments in the field Your Profile Bachelor's or master's degree in computer science, engineering or a related field. Motivated graduates are welcome to apply! Strong programming skills in Python and/or C++, knowledge of HLS is an asset Solid understanding of computer vision techniques: object detection, segmentation More ❯

As a Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and … for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Excellent communication, teamwork and a results-oriented attitude … reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/ More ❯

Research & Development Internally and externally funded research and development products investigating and developing low TRL technologies. Product Development Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development Development of Synoptix services, including our upcoming AI Assurance service offering. Engineering Services Delivery of engineering services on behalf of … others as required. Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Providing Software Engineering Subject Matter (SME) Expertise Act as part of multidisciplinary teams in delivering engineering services to Synoptix clients. Provide SME guidance to Synoptix clients … Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience developing and/or implementing More ❯

Research & Development – Internally and externally funded research and development products investigating and developing low TRL technologies. Product Development – Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development – Development of Synoptix services, including our upcoming AI Assurance service offering. Engineering Services – Delivery of engineering services on behalf of … others as required. Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Providing Software Engineering Subject Matter (SME) Expertise Act as part of multidisciplinary teams in delivering engineering services to Synoptix clients. Provide SME guidance to Synoptix clients … Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience developing and/or implementing More ❯

Research & Development – Internally and externally funded research and development products investigating and developing low TRL technologies. Product Development – Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development – Development of Synoptix services, including our upcoming AI Assurance service offering. Engineering Services – Delivery of engineering services on behalf of … others as required. Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Providing Software Engineering Subject Matter (SME) Expertise Act as part of multidisciplinary teams in delivering engineering services to Synoptix clients. Provide SME guidance to Synoptix clients … Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience developing and/or implementing More ❯

a Machine Learning Scientist to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence-a computer vision-powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career … models continuously in production environments What You'll Bring Master's degree with 3+ years of experience or Ph.D. with 0-2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar … to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication skills and proven ability to collaborate across cross-functional teams Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Working Hours: Ability to maintain at least a 50% overlap with US working hours (PST 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 ❯

category leader , creating significant value for our customers and the global population, given that 40% of the world's CO2 originates from the $15Tn Construction industry! To fulfill this vision, we are adding a smart, ambitious, and technically exceptional Principal Software Engineer to our team. In this role, you will lead software development and cloud deployment activities to build … scalable, high-quality production code and familiarity with a second object-oriented language High proficiency using RDBMs and Postgres Working experience with AWS (or equivalent) and Docker MSc in Computer Science, Math, or related fields Personal Traits We'd Love to See: You are a self-starter and enjoy working on high-impact problems that deliver value for customers … skills and the ability to translate customer requirements into scalable software features and functionalities Any of the Following is a Plus: Start-up/scale-up experience in AI, computer vision, or enterprise software space PhD in Computer Science, Math, or related fields Experience with vision, AI, or big data applications Experience with Terraform and IaC 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 ❯

in Python is essential, as it will support further on-the-job training. As part of the team, you will contribute to research, design, implementation, and deployment of scalable computer vision and image processing solutions. You will assist in implementing state-of-the-art methods for sensor fusion, defect characterisation, and data analysis, as well as help design … and processes for other teams to adopt and extend. DeGould is an exciting, multi-award-winning company, in the software and AI sector. The company develops and delivers innovative vision and damage detection systems to a range of blue-chip corporate clients. As the company embarks on an exciting growth phase the company plans to expand the team, further … develop existing products, and explore opportunities for new ones. Our Vision: DeGould's vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: Assist in the development, testing, and optimisation of localisation algorithms that help systems understand and track their position. Help write clean, maintainable, and efficient Python code to support localisation 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 ❯

design and deployment of cutting-edge AI systems across a global, high-volume interactive platform. You will define and execute the machine learning strategy across content personalization, intelligent moderation, computer vision, and natural language understanding — shaping the future of interactive digital experiences for millions of users worldwide. This is a high-impact leadership role at the intersection of … real-time ranking to personalize content across touchpoints. Continuously iterate based on user behavior signals to improve engagement and conversion metrics. 2. Content Understanding & Categorization Support and enhance robust computer vision and multi-modal models to automatically analyze and classify live visual content. Enable large-scale visual tagging, attribute extraction, and semantic categorization to support discoverability and quality … applied machine learning, including 3+ years leading cross-functional AI/ML teams. Demonstrated success in deploying large-scale ML systems in areas such as personalization, NLP/LLMs, computer vision. Deep knowledge of real-time inference systems, MLOps pipelines, and distributed model training. Expertise with modern ML tooling. Strong business acumen with a proven ability to align ML 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 ❯