51 to 75 of 103 Computer Vision Jobs in the UK

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 »

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 »

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 »

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 »

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 »

As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in more »

the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on experience with Bert, Bard … ChatGPT, LLaMA, Dolly, etc. Good experience in any at least 2 of the AI domains: NLP, NLG, Computer Vision, etc. Experience in machine learning and software engineering best practices with advanced skills in Python and Cloud. Experience writing and presenting papers, documentation, and presentations to explain (research) findings. 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 »

Proficiency in Docker, Kubernetes, and AWS services Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch Proven experience in either NLP, Computer Vision, Anomaly Detection or Hybrid Modeling Not a 100% match? No worries! Airbus supports your personal growth with customised development solutions. HOW WE more »

As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in more »

is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re 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 »

Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus more »

Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus more »

and 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 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 »

Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus more »

impact the world positively through Biodiversity using advanced AI/ML. Looking for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

calibre tech team. The ideal candidate will have: Strong Data Science/ML engineer background Experience working on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »