26 to 50 of 78 Computer Vision Jobs in England

Experienced Senior Embedded Linux Software Engineer with 3yrs + embedded software experience now needed in Bristol to work on a variety of projects in Computer Vision, AR/VR and IoT at all levels of the software stack (baremetal and low level linux drivers to user space applications … level (driver) development and some of the followng: Experience with linux development, especially linux kernel. Experience with NXP, Qcom, Renesas chipsets Experience with video, computer vision, or machine learning applications. Experience with Yocto. Experience with algorithm development - especially in computer vision. Great opportunity for a Senior Embedded more »

Operations team to execute their data scaling strategy Design, deploy, and manage ML algorithms to drive innovation in healthcare Lead the development of advanced computer vision features for medical imaging and analysis Some of the following would be beneficial: 5+ years of experience developing AI-based products Experience … of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an essential Package: Salary of more »

You will be working across a range of web applications as well as implementing and integrating Azure OpenAI APIs and Bots to provide NLPs, Computer Vision and conversational AI features Required Skills: - HTML - CSS - JavaScript - Python - React - Azure OpenAI - Computer Vision AI/Artificial Intelligence Developer more »

markets they are looking to add to their specialist sales department. In this role you will receive training on the fundamentals within the niche computer vision and automation market. Sales contact and business development training will also be provided to a successful candidate, some form of technical education … s from a technical background, and looking to boost earnings through commission and bonus whilst progressing rapidly. The Role: Sales Executive, full training provided. Computer Vision and Automation industry. Commission and end of year bonus (high on target earnings). The Person: Degree in Engineering, IT or similar more »

to mentor and upskill junior members of the team Looking at more advanced GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python more »

their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster imaging saving weeks of work; improving and automating workflows; harvesting data from open datasets or … with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working more »

and/or signal processing domain knowledge Previous experience in developing healthcare-based applications Experience with developing and testing CNNs, RNNs, and transformer models Computer vision knowledge Experience with C/C++ programming A demonstrable interest and/or experience working in digital health, digital therapeutics, or the more »

areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level more »

/Physics related disciplines: Data Analysis/Mathematical analysis Algorithm Development Artificial Intelligence (AI) Robotics Machine Learning Modelling & Simulation/Model based design Acoustics Computer Vision Data Science/Computer Science R&D (Research & Development) We have an exciting new opportunity for talented and motivated Analyst's … and project delivery. Experience needed: Ideally qualified to degree-level or equivalent experience in a Physics or Engineering based subject, such as; Electronics, Hardware, Computer Science, Software or Systems Engineering etc. Strong communication skills, with the ability to convey complex topics clearly and concisely to both expert and non more »

/Physics related disciplines: Data Analysis/Mathematical analysis Algorithm Development Artificial Intelligence (AI) Robotics Machine Learning Modelling & Simulation/Model based design Acoustics Computer Vision Data Science/Computer Science R&D (Research & Development) We have an exciting new opportunity for talented and motivated Analyst's … and project delivery. Experience needed: Ideally qualified to degree-level or equivalent experience in a Physics or Engineering based subject, such as; Electronics, Hardware, Computer Science, Software or Systems Engineering etc. Strong communication skills, with the ability to convey complex topics clearly and concisely to both expert and non more »

multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is more »

experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer Science or a related field Salary: £70,000 - £100,000 DOE + Bonus more »

AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands … on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to translate more »

features and functionality across the AI stack - framework to applications Be exposed to cutting edge AI models in various domains such as Speech, NLP, computer vision Actively propose and prototype novel ideas/solutions considering real-world constraints Incorporate software engineering practices and be involved in software architecture … planning Develop and maintain knowledge of cutting-edge tools, techniques and frameworks for AI Required experience MSc or PhD in Computer Science, Mathematics or similar At least 3 years of industry experience working on deep learning models applied to embedded systems C++ programming TensorFlow, PyTorch Desired experience Java, Kotlin more »

Support the External Programmes Manager to assist in the preparation of grant proposals. Requirements for the role: BSc/MSc/PhD in either Computer Science, Mechanical Engineering or applicable scientific subject. Prior experience of developing and supporting novel robotic applications, on platforms such as KUKA, ABB & Universal. Experience … and tools used. (Desirable) Competency in Engineering Mathematics (matrix algebra, numerical optimisations) and development of complex algorithms. (Desirable) Understanding and prior experience of common computer vision tools and techniques used in the field of robotics. (Desirable) Experience of developing applications involving supervised/unsupervised machine learning algorithms. (Desirable more »

experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where more »

machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and more »

potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: An education in Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive … modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to translate technical concepts into tangible business more »

or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. more »

libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »