76 to 100 of 207 Computer Vision Jobs in London

partnering with an innovative technology company developing AI-powered software that transforms video data into actionable insights. Their flagship platform combines cutting-edge computer vision with intuitive applications used by customers globally, and they're now looking for an experienced Frontend Engineer to take ownership of the product … core product Small, collaborative engineering team with minimal bureaucracy Opportunity to shape the future technical direction of the platform Cutting-edge AI and computer vision technology Modern engineering environment with significant autonomy Hybrid working from a Central London office Timing This is an immediate priority hire. The business ...

Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility. You’ll be joining … CISA or OSCP. We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor ...

Applied Machine Learning team in the London area. You will lead squads across American football and ice hockey, driving game-changing initiatives with computer vision and deep learning to generate real-time game data and post-game insights. You’ll balance model precision with scalable software, manage stakeholders ...

About MAGIC AI MAGIC AI is an elegant in-home health coach that utilises computer vision, connected weights, and cameras to provide personalised training sessions led by world-renowned athletes. We have gained recognition and exposure, being stocked in Selfridges, featured on Good Morning Britain, and listed … MAGIC AI is the pioneer in offering users the opportunity to perform exercises in front of an intelligent hologram mirror. Our cutting-edge proprietary computer vision software enables real-time form correction, rep counting, and live feedback, resulting in a fully customised workout experience. We have also collaborated ...

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries … benchmarks, and use them to drive decisions. Collaborate with research and engineering colleagues to bring successful methods into production systems. Key qualifications PhD in computer vision, graphics, or a related field; publications at top venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS). Deep, hands-on knowledge of modern scene ...

supported at scale. About the Position Our London Core Labs team builds ambitious products at the intersection of software, embedded systems, connectivity, video, computer vision, AI and medical technology. Product leaders work closely with engineers, designers, clinicians and specialists across Medtronic to create a connected ecosystem … customer sites across the US and Europe may also be required, including overnight stays. Primary Responsibilities Set and communicate a compelling multi-year product vision for Aide as the intraoperative digital foundation of the Touch Surgery ecosystem. Define the platform strategy across edge compute, video, data movement, connectivity, application ...

This role exists to extend that position into compute-intensive, regulated and specialist industries — financial services, healthcare and life sciences, robotics and autonomous systems, computer vision and industrial AI — where compute budgets are already committed and infrastructure partners are being chosen now. You'll own a named vertical … inherited and not renewal-led Deep credibility in at least one compute-intensive vertical — financial services, healthcare and life sciences, robotics and autonomous systems, computer vision and industrial AI, media and entertainment, or engineering and simulation — including an active network at buying level Substantive infrastructure fluency (cloud, IaaS ...

documentation and architecture specifications. Support the full software development lifecycle using Agile and DevSecOps practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Mathematics, or a related field. Minimum 5 years of professional software development experience. Minimum 3 years … Pipelines API Development Secure Software Development Lifecycle Preferred Qualifications Experience developing AI systems for government, security, defense, or critical infrastructure sectors. Experience with computer vision, predictive analytics, or autonomous systems. Knowledge of cybersecurity and secure AI development practices. Azure AI, Microsoft, AWS, or Google certifications. Experience scaling ...

code, and development processes. Prepare reports and presentations to communicate findings and progress to stakeholders. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with … Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/ ...

employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus … critical applications Hands-on experience in the following: Analyze huge (e.g. peta byte) scale database; Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning; Design data annotation rules for machine learning Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub ...

innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems … frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production‐scale AI systems with focus on performance, reliability, and maintainability. Expertise in software ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skillsPreferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps ...

with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps ...

experience (AWS/GCP/Azure). Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz). Specialisms: NLP/computer vision/time series. NoSQL familiarity. Quant/trading analytics engineering practices Time-series forecasting (prices, demand, blend outcomes, scheduling effects) Optimisation/ ...

advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. … optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism ...

data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. ...

work effectively in a diverse environment, across colleagues and partners with different functions, technical backgrounds and levels of seniority. Desirable experience: Exposure to computer vision, multimodal AI, vision‐language models, embeddings, captioning, retrieval, data curation or related Visual AI workflows. Experience with benchmarking, experimental design, performance analysis ...

Execution Systems, etc. Experience extending lab automation into quality labs and manufacturing lines, working with automation, business and tech teams. Strong experience in computer vision systems, embedded systems and edge AI. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor's degree … Computer Science, Software Engineering, or equivalent practical experience. Master's degree in Computer Science or related field is advantageous Ready to apply? If this role excites you and matches your experience, we would love to hear from you. Please submit your application and a short note telling ...

English working in global, cross‐functional teams. Preferred: Experience applying AI to customer, marketing, commerce, sales or service challenges. Experience with natural language processing, computer vision or multimodal AI models. Knowledge of Responsible AI, guardrails and safety practices in production environments. Familiarity with Snowflake, Databricks or similar data … platforms. Consulting or client‐facing delivery experience. A bachelor’s or master’s degree in computer science, data science, engineering or a related field. #J-18808-Ljbffr ...

solution delivery. Proven experience delivering scalable AI/ML solutions in client-facing or collaborative roles. Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker).Proficiency with cloud platforms: Azure ...

solution delivery. Proven experience delivering scalable AI/ML solutions in client-facing or collaborative roles. Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker). Proficiency with cloud platforms: Azure ...

experimentation standards, and technical direction. QualificationsMust-Have Qualifications Proven experience developing and deploying ML models in production settings Master's or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn … construction, transportation, HVAC, energy systems, or robotics. Background in optimisation, simulation, scientific machine learning, physics-informed learning, or digital twinsExperience with time-series forecasting, computer vision, sensor data, or other complex engineering datasets. Track record of mentoring or technically leading ML initiatives. Additional InformationOur Hiring Process 25-minute ...

technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven … track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++ ...

devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like ...

other engineers grow Strong product judgment and meticulous attention to visual quality Minimum Qualifications: Strong background in Machine Learning, with experience developing generative models, computer vision systems, or related deep learning applications Strong programming skills in Python or C++, with proficiency in PyTorch or a comparable deep learning … framework Bachelor’s degree in computer science, mathematics, statistics, or a related technical field, or equivalent practical experience At least 5 years of ML experience after a bachelor’s degree, 4 years after a relevant master’s degree, or 1 year after a relevant PhD Demonstrated experience leading complex ...