51 to 75 of 98 Permanent Computer Vision Jobs in England

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 »

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 »

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 »

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 »

improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine … data. Collaborate closely with internal stakeholders to understand their data analytics needs, prioritise initiatives, and drive alignment with business objectives. Experience Required: degree in Computer Science, Information Systems, Data Science, or a related field; Master's degree preferred. years of experience in a leadership role within a data-driven 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 »

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 »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good more »

with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python 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 »

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 »

on smashing goals and loving what they do! If you're a 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 »

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 »

the video creation experience, making it more intuitive and accessible for all users. Required Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the more »

the video creation experience, making it more intuitive and accessible for all users. Required Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the more »

of the assigned project Translate complex functional and technical requirements into detailed designs Skills and Qualifications Required Skills Bachelor's or higher degree in Computer Science/Engineering or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Knowledge of linear … algebra equivalent to at least first-year university level Strong computer science and engineering fundamentals (e.g., OS, Compiler) Familiarity with software engineering practices and tools such as Git, CI, Agile, package managers, etc. Excellent communication, teamwork, problem-solving skills, and a results-oriented attitude Desirable Skills Knowledge of computer vision fundamentals LLVM compiler experience Experience with commercial/production AI Experience in Python/Java/Kotlin more »

competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge more »