1 to 25 of 65 Remote Permanent Computer Vision Jobs

Save job . I am working with a pioneering research organisation at the cutting edge of artificial intelligence and computer vision, who are looking to appoint a highly skilled Computer Vision Engineer. This role offers an exciting opportunity to join a forward-thinking team that is driving innovation in real-world AI applications through advanced research … and development. This is a chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for … image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for … image and video analysis Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads) Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems Curate and preprocess data to maximize training effectiveness Deploy models into production environments and monitor their performance Collaborate More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. They are looking for someone who will be … for developing their data creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as a Computer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking … data for coaching and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision Specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. Theyare looking for someone who will be responsible … for developing theirdata creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as aComputer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking data for coaching … and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills Desirable skills: Experience More ❯

universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements 6+ years in data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

practical challenges in data extraction, processing, and interactive systems. This role prioritizes hands-on application-such as customizing LLMs for specific tasks, including retrieval-augmented generation (RAG) pipelines and vision-based workflows-over building models from scratch. You'll focus on leveraging LLMs for solutions like advanced chatbots, natural language interfaces, semantic search, and creative problem-solving across data … Work with open-source LLMs (e.g., Gemma, Llama) for local deployment and inference, optimizing for on-premises or edge environments to ensure low-latency performance and data sovereignty. Incorporate computer vision tasks, such as OCR for text extraction from images or documents, and broader CV techniques for processing visual data in hybrid LLM pipelines. Experiment iteratively with LLM … with cross-functional teams on code reviews, rapid prototyping, and knowledge sharing, while leveraging AI coding assistants to accelerate development. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3+ years of professional experience in AI engineering, specifically manipulating and deploying LLMs in production (e.g., via Hugging Face Transformers More ❯

products and decision-making processes. Whilst this role will be hands-on in nature and will require experience and skills for model development, you will also set the technical vision for data science, mentor a team of data scientists, and work closely with data engineering, product, and business stakeholders to ensure scalable, production-ready solutions. Your primary focus will … and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and … data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep More ❯

imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical engagement. Closely work with our software development and regulatory team for efficient integration from R … London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety. We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical … Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such More ❯

Cambridge, UK – Hybrid (occasional UK travel required) Salary: £55,000 - £80,000 + bonus, stock options, pension, healthcare, and excellent benefits Requirements for Software Engineer BSc/MSc in Computer Science, Software Engineering, or related subject (or equivalent experience) Significant commercial experience developing production-grade desktop or web applications Strong programming skills (C++, Python or similar) Understanding of photogrammetry … solving ability and attention to code quality Great communication skills and ability to work across multidisciplinary teams Beneficial experience: Experience with geospatial or image-processing software platforms Knowledge of computer-vision libraries (e.g. OpenCV) and 3D reconstruction tools GPU programming (CUDA, OpenCL, Vulkan) or 3D visualisation frameworks (WebGL, Three.js) Exposure to cloud deployment (AWS/Azure) and agile … during the interview process, please let us know. Keywords – Software Engineer/C++ Developer/Python Developer/GIS Engineer/Image Processing Engineer/Geospatial Software Developer/Computer Vision Engineer/Remote Sensing Engineer/Multithreaded Developer/GPU Programmer/Data Visualisation Engineer/Developer/OpenCV/Spatial Databases/CUDA/OpenCL/ More ❯

genetic engineering to create 21st-century research labs that improve efficiency, reproducibility, and animal welfare. Their proprietary system enables accurate, cost-effective animal tracking through a blend of classical computer vision, deep learning, and novel ID tagging technology. Their product integrates seamlessly into existing infrastructure, allowing for large-scale deployment of smart cages. With their innovations, they aim … ensure they are the right fit for the company and are capable of perform the tasks. Qualifications, Skills and Key Competencies: Must Have: Education & Experience: Bachelor's degree in Computer Science, Engineering, or a related field with 1+ years of professional software engineering experience. OR Master's degree with 6+ months of industry experience. Technical Skills: Proficiency in Python … Other : Ability to work in California's timezone (PST/MST overlap required). Ability to commit to a 3-month contract . Bonus Skills: Experience with DevOps, PyTorch, Computer Vision, SQL, and AWS . Application Disclaimer: Please Read Before Proceeding To ensure a fair and efficient hiring process, all applications must meet the mandatory requirements listed in More ❯

Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify … anomalies, hazards, and safety risks. This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely. The ideal candidate … will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify … anomalies, hazards, and safety risks. This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely. The ideal candidate … will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

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

of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such More ❯

expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such More ❯