176 to 200 of 1,196 Computer Vision Jobs in the UK

AI) and are looking to make a difference in how the latest clinical trials progress into the market? Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting opportunity for you to help take the reins … implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for accuracy, efficiency, and interpretability; Deploy AI solutions into production … training and deployment of AI tools including various forms of machine intelligence; and Participate in educating, training and development of more junior team members. Qualifications PhD in Artificial Intelligence, Computer or Data Science, or related field; Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development More ❯

and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on … communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. More ❯

themes: 1) Find and Fix all customer and selling partner experience defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on … communication skills. Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse experience will be favored e.g. a More ❯

field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and … research results and contribute to research that can be applied to Meta product development. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, or relevant technical field. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing More ❯

Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning More ❯

optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition). Machine Learning Operations design, including: Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines … LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible). Experience delivering technical presentations and leading business value sessions. Executive presence with public speaking skills. Preferred Qualifications: Computer Science or similar degree. Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator. Previous experience More ❯

algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional More ❯

make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional More ❯

and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

libraries for data management, statistics, 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 application of Ethical AI considerations More ❯

Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI More ❯

standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join More ❯

to uncover operational risk insights, including anomaly detection, pattern recognition, and risk hotspot identification Apply advanced statistical and analytical techniques to structured and unstructured data sources Develop NLP and computer vision models to extract value from text-heavy or image-based risk data (e.g., incident reports, audit findings, vendor assessments) Translate model outputs into actionable insights for Operational More ❯

RFIs, and proposals, including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using More ❯

analyse, and search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will More ❯

analyse, and search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will More ❯

relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our vibrant and … world changing? Be you, with us! #WeAreCisco #CollabFY25 Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Computer Hardware Manufacturing, Software Development, and Computer Networking Products Referrals increase your chances of interviewing at Cisco by 2x Get notified about new Machine Learning Engineer jobs in Glasgow More ❯

My client is currently looking for a Senior Computer Vision to join there exciting projects. This is an exciting company who is going through a real growth period and you will be working on leading edge projects. Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on … pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems. Track the latest developments in computer vision, sensor fusion and generative AI, and apply relevant techniques to your work. Deliver solutions suitable for mission-critical defence applications with consideration for performance and security. Required … Qualifications & Experience At least 5 years of industry experience in AI/computer vision, including delivery into operational systems. Demonstrable experience deploying solutions into defence, aerospace, or other regulated domains. Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning More ❯

Job Description Our client in the Pharmaceutical Manufacturing industry is seeking a Principal Computer Vision Scientist to lead the development of foundation models using biological imaging data, with the goal of accelerating target and biomarker discovery. This team is building a more integrated AI framework for early-stage research, using cellular imaging as a key modality to power … the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations … with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Strong publication record in top-tier ML/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML). Proven expertise in multi More ❯