126 to 150 of 334 Computer Vision Jobs in England

looking for a Perception Engineer to build the eyes for autonomous systems operating in the world's most sensor-hostile environment. You'll develop computer vision and sensor fusion systems that cut through Arctic whiteout, polar night darkness, and ice fog — where traditional perception stacks fail. This … failure means mission abort. CORE RESPONSIBILITIES Design and deploy perception pipelines for Arctic autonomous platforms (surface, subsurface, aerial) Fuse multi-modal sensor data (vision, LiDAR, radar, IMU, GNSS) for situational awareness and autonomy Build ML models for ice classification, terrain mapping, and obstacle detection in low-visibility conditions Train ...

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 ...

development and verification of Guidance, Navigation and Control systems for complex satellite missions. This is an exciting opportunity to work on advanced GNC and computer vision technologies, contributing to highly innovative spacecraft systems and missions. The Role You will contribute across the GNC development lifecycle, including: Developing … subsystem requirements, architectures, FDIR and V&V strategies. Supporting the integration of GNC algorithms, computer vision and GNC hardware. Working with multidisciplinary engineering teams to ensure GNC performance and system compatibility. Conducting research into emerging GNC technologies, algorithms and hardware. Supporting algorithm development, hardware selection and system integration. ...

plant traits with molecular signatures and generate biological insights. Essential Skills, Qualifications & Experience: A PhD or equivalent research experience in Computational Biology, Machine Learning, Computer Vision or a related discipline Demonstrated experience independently developing, implementing and evaluating computational methods to address biological questions. Familiarity with at least … different omics types and demonstrated experience in multi-omics integration Experience in applying computer vision methods, including image segmentation and feature extraction, to biological datasets Experience in extracting features from imaging and omics data, and building multi-modal integration pipelines to uncover novel insights. Able to communicate scientific ...

Systems Engineer to contribute to the design and verification of the Guidance, Navigation, and Control subsystem for RPO missions. You will integrate GNC and computer vision with the satellite bus and collaborate across engineering teams. The role emphasizes developing GNC algorithms, hardware integration, and system trade-offs, shaping ...

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/ ...

world today! We are seeking an experienced AI Research Lead to support the development of advanced AI solutions involving Large Language Models (LLMs), Vision Language Models (VLMs), Computer Vision, and Multimodal AI systems . The successful candidate will combine strong research expertise with hands‐on engineering experience ...

troubleshooting problems. Capable to lead projects, drive technological innovation, and focus on advanced research. Your Contribution System design and implementation:Develop and deploy automated vision systems for tasks like defect detection, object recognition, robot guidance and dimensional measurement in high volume manufacturing and production environments. Programming and configuration: Program … software would be preferable. Collaboration: Work with cross-functional teams, including quality assurance, operations, and mechanical and electrical development, to gather requirements and integrate vision systems into broader automation platforms. Troubleshooting and maintenance: Provide support and perform diagnostics on existing vision systems to ensure continuous, accurate operation. Documentation ...

Robust programming skills (Python is essential) An understanding of one or more of the following: Agentic AI systems and Architecture Graph RAG Traditional RAG Vision Language Models/Computer Vision Audio Processing Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with ...

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/ ...

team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions … stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience of training and developing ...

technical marketing, and building executable account plans with Field Sales and Field Applications Engineering. The role has particular relevance to industrial automation, robotics, machine vision, edge AI, embedded networking and other high-value embedded applications. Success requires a business-development mindset: creating demand, opening doors, developing partners, qualifying opportunities … foundation in one or more of the following: FPGAs, SoCs, embedded processors, programmable logic, real-time systems, embedded software, high-speed interfaces, industrial networking, computer vision, robotics, edge AI or system architecture. Ability to understand and explain system-level trade-offs involving performance, latency, power, cost, flexibility, reliability ...

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 ...