176 to 200 of 872 Computer Vision Jobs

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 ❯

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 ❯

end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. You will drive ideas to products using paradigms such as deep learning, semi … pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a unified team environment. You should enjoy the process of solving real-world problems that, quite … problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. More ❯

with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar … training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities}. Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects or published research papers in relevant … 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 ❯

sensitivity, specificity, ROC-AUC, and precision-recall Contribute to technical documentation and regulatory submissions for medical-grade software Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field 3–5+ years of experience applying machine learning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g. … Kingdom 19 hours ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks … Kingdom 3 months ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Ultralytics Founder & CEO at Ultralytics | Democratizing vision AI At Ultralytics, we relentlessly drive innovation in AI, building the world's leading open-source models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to … excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. What You … entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on More ❯

compliance with medical AI regulations (FDA, MDR, IVDR) and AI-driven Software as a Medical Device (SaMD). Required Skills & Experience Strong experience in AI & Machine Learning – Specialised in Computer Vision, CNNs, and Deep Learning . Medical imaging experience – Worked with CBCT scans, X-rays, MRIs, or other 3D imaging technologies . Programming skills – Proficiency in Python, TensorFlow … FDA 510k, MDR, IVDR compliance) . Strong problem-solving mindset – Ability to innovate and optimise AI models for real-world applications. Preferred Qualifications PhD/Master’s in AI, Computer Vision, Biomedical Engineering, or related fields . Experience working with dental imaging, prosthetics, or radiology AI . Previous experience in a startup or leading an AI research team More ❯

Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The role We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. This is an outstanding opportunity to work at the forefront of technology and innovation, applying your expertise to craft the future of gaming graphics! The team Based … game development partners to build PlayStation Games. Our team is dedicated to working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation. What you'll be doing: Developing and refining ML models and architectures for computer graphics and game rendering. Researching and evaluating new algorithms and techniques … team of experienced graphics engineers. Working with technical leads, engineers, and project managers to plan goals and objectives. What we're looking for: A degree or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field; advanced degrees are a plus. Strong experience in ML model development and neural networks, possibly with a research focus. Experience More ❯

and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong … background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience), Evidence of leading technical developments by at least 1 research publication in a top-tier conference like More ❯

video calls, as necessary. Ability to go into corporate or client offices to work onsite, as necessary. Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. Ability to bend, kneel, crouch, and reach overhead, as necessary. Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. For positions that require business travel and/or event attendance, a valid driver’s license, as necessary. If requested, reasonable accommodations will be made to enable … employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options Flexible Spending Accounts (Medical, Transit, and Dependent Care) Employer Paid Life Insurance and AD&D Coverages Health Savings account paired with our low-cost High Deductible Medical Plan More ❯

world as we know it. Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to simulate biochemistry on a computer thus helping us develop cutting edge predictive models which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from … real-world datasets Experience with ML on accelerators Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL. Culture and values We are guided by our shared values. It's not about finding people who think and … United Kingdom 1 month ago Hoddesdon, England, United Kingdom 3 weeks ago Executive Search Researcher - £35,000k Base - Graduate London, England, United Kingdom 3 weeks ago Research Scientist Manager, Computer Vision & GenAI London, England, United Kingdom 2 weeks ago Hammersmith, England, United Kingdom 19 hours ago We’re unlocking community knowledge in a new way. Experts add insights 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 ❯

or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice to have PhD in machine learning or computer science. Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience working in a scientific … real-world datasets. Experience with ML on accelerators. Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL. #J-18808-Ljbffr More ❯