1 to 25 of 45 Remote Computer Vision Jobs in the South East

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 ❯

Senior Applied Researcher/Data Scientist – Computer Vision Paying up to £110k + 7.5% Bonus + $10,000 Shares (Yearly) London office – remote first policy but ideally 1 day a week. Leading SportsTech Business I am working with a global leader in sports technology that’s redefining how coaches, athletes, and fans experience the game. From grassroots to … join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable … and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept More ❯

Senior Applied Researcher/Data Scientist – Computer Vision Paying up to £110k + 7.5% Bonus + $10,000 Shares (Yearly) London office – remote first policy but ideally 1 day a week. Leading SportsTech Business I am working with a global leader in sports technology that’s redefining how coaches, athletes, and fans experience the game. From grassroots to … join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable … and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with … GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out to daniel@microtech-global.com More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with … GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out to daniel@microtech-global.com More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with … GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out to daniel@microtech-global.com More ❯

machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve … at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms … passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career More ❯

machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve … at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms … passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career More ❯

machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve … at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms … passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career 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 ❯

do: Lead development of our iOS putting simulator app – evolve a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast … structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions and trade-offs More ❯

do: Lead development of our iOS putting simulator app – evolve a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast … structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions and trade-offs More ❯

do: Lead development of our iOS putting simulator app – evolve a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast … structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions and trade-offs More ❯

Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . 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 ❯

from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . 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 ❯

from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . 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 ❯

Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems. More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯