76 to 100 of 117 Computer Vision Jobs in the UK

functions of the company •Document and communicate the results and insights of AI projects to exec-level audience •Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field; alternatively, a comparable industry career with a proven track record of successful projects •Experience in developing and deploying … consumers •Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications •Establish best AI practices and follow them across project portfolio 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 »

identify opportunities, and drive AI initiatives across the company. Key Responsibilities: Develop AI Strategy: Collaborate with key stakeholders to define the organization's AI vision, goals, and roadmap. Identify potential AI use cases and prioritize them based on business impact and feasibility. AI Opportunity Assessment: Conduct thorough research and … assess the competitive landscape to identify opportunities for innovation and improvement. Qualifications: Bachelor's or Master's degree in a relevant field such as computer science, engineering, or business administration. Extensive experience (typically 8+ years) in strategic planning, business development, or a related role, with a focus on AI … technologies and applications. Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Solid knowledge of business strategy, market dynamics, and industry trends related to AI. Excellent analytical and problem-solving skills, with the ability to translate complex concepts into clear strategies more »

identify opportunities, and drive AI initiatives across the company. Key Responsibilities: Develop AI Strategy: Collaborate with key stakeholders to define the organization's AI vision, goals, and roadmap. Identify potential AI use cases and prioritize them based on business impact and feasibility. AI Opportunity Assessment: Conduct thorough research and … assess the competitive landscape to identify opportunities for innovation and improvement. Qualifications: Bachelor's or Master's degree in a relevant field such as computer science, engineering, or business administration. Extensive experience (typically 8+ years) in strategic planning, business development, or a related role, with a focus on AI … technologies and applications. Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Solid knowledge of business strategy, market dynamics, and industry trends related to AI. Excellent analytical and problem-solving skills, with the ability to translate complex concepts into clear strategies 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 »

and test new system expansions. Optimize data anonymization, perturbation, and generation algorithms. What We're Looking For: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Minimum of 5 years in software engineering with 3+ years in Unity, C++, and 3D rendering. Experience in … Kinematics, Path Planning, Camera Calibration, Physics, Computer Vision, or Graphics. A curious and problem-solving mindset. Pay & Benefits: Competitive salary ranging from £65,000 to £85,000 based on experience. Comprehensive benefits package and dynamic team environment. Interview Process: CV Review 20-Minute Intro Call with Talent Acquisition more »

and test new system expansions. Optimize data anonymization, perturbation, and generation algorithms. What We're Looking For: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Minimum of 5 years in software engineering with 3+ years in Unity, C++, and 3D rendering. Experience in … Kinematics, Path Planning, Camera Calibration, Physics, Computer Vision, or Graphics. A curious and problem-solving mindset. Pay & Benefits: Competitive salary ranging from £65,000 to £85,000 based on experience. Comprehensive benefits package and dynamic team environment. Interview Process: CV Review 20-Minute Intro Call with Talent Acquisition more »

knowledge sharing across the organization. Ensure compliance with regulatory requirements and ethical standards in AI development and deployment. About You: Bachelor's degree in Computer Science, Engineering, Economics, Business Administration, Master's degree would be preferred. Proven experience in developing and implementing AI/ML/Analytic strategies in … a corporate setting, with a track record of driving successful outcomes. Strong understanding of AI technologies, including machine learning, GenAI, computer vision, and their applications in business. Excellent strategic thinking, analytical skills, and business acumen, with the ability to translate AI concepts into actionable strategies and initiatives. Strong more »

and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week in the office. Day rate more »

cutting edge and legacy Big Data and AI technologies such as Hadoop, Spark, OpenAI and Claude as well as architectures and domains such as Computer Vision, NLP, Neural Networks, Machine Learning, Generative AI, Data Warehouse and LakeHouse to name a few. Solid understanding of one or more of more »

as DCAM or CDMP and understanding of data governance and maturity assessments. Working knowledge of use cases and application of different AI technologies including Computer Vision, ML, Gen AI etc. AI, ML frameworks and Data Science Principles Benefits Working at MA Methods Analytics (MA) exists to improve society more »

as DCAM or CDMP and understanding of data governance and maturity assessments. Working knowledge of use cases and application of different AI technologies including Computer Vision, ML, Gen AI etc. AI, ML frameworks and Data Science Principles Benefits Working at MA Methods Analytics (MA) exists to improve society more »

admin. Experience deploying cloud services (AWS is a bonus). Experience with Docker and Kubernetes. Using frameworks such as AirFlow. ML background - PyTorch for computer vision. This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days annual leave. This role would more »

to integrate new systems The person: 3+ years experience in software engineering with a focus on python Experience using threading or multiprocessing Experienced in computer vision, AWS services, GPU computing (TensorRT/PyCUDA) Self starter with strong problem solving skills The salary for this role is negotiable depending more »

manipulation and analysis Experience working with large datasets performing clustering, classification and regression (bonus points if this is working with time series data or computer vision) Experience working and deployment using cloud services (AWS preferably) ** If you have experience working with problems in image processing or working with more »

trends, technologies, and best practices, and identify opportunities for leveraging AI to drive business growth. THE REQUIREMENTS: Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field. Proven experience in leading and delivering AI projects in a complex, enterprise environment. Strong understanding of … AI technologies – including machine learning, deep learning, natural language processing, and computer vision. Excellent project management skills, with the ability to manage multiple projects simultaneously and prioritise effectively. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. Knowledge of data governance more »