26 to 50 of 76 Computer Vision Jobs in the UK

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 »

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 »

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 »

technical feasibility. Work closely with data scientists and engineers to define and refine AI algorithms, models, and data requirements that align with the product vision and objectives. Lead the product development process, including defining user stories, creating product specifications, and managing the product backlog. Manage and prioritize product releases … a product manager, preferably with a focus on AI-driven products or technologies. Strong understanding of AI concepts, including machine learning, natural language processing, computer vision, and data analytics. Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency … making and familiarity with analytics tools to monitor and measure product performance. Bachelor's or Master's degree in a relevant field, such as computer science, engineering, business, or a related discipline. Passion for AI technologies and their potential to drive innovation and create value in various industries. 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 »

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 »

/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 »

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 »

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 »

in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with 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 »

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 »

data, they empower landowners, businesses, governments, and communities to take informed actions for a sustainable future. Key Responsibilities: Develop practical deep learning applications for computer vision. Curate machine learning training datasets. Drive innovation by staying updated on the latest research and methodologies. Collaborate with ecologists to customize methodologies for more »

Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary more »

finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully more »

goals and loving what they do! If you're a Senior/Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You more »

in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully 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 »