176 to 200 of 1,319 Computer Vision Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team. Role Overview: This exciting opportunity is perfect for a recent PhD graduate or an individual with a few years … of industry experience in computer vision. In this role, you will be instrumental in designing algorithms to improve the accuracy and efficiency of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology. Key Responsibilities: Develop and implement cutting-edge machine learning algorithms for detecting images and videos. Work … closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers). Conduct experiments to validate and enhance the performance of computer vision models. Stay current with the latest advancements in machine learning and computer vision, applying this knowledge to ongoing projects. Publish research findings in leading scientific More ❯