26 to 43 of 43 Sentiment Analysis Jobs in the UK

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

ambassadors. Guarding against brand fragmentation and upholding standards across regions and outputs. Measuring, Monitoring, and Evolving Brand Health: Commissioning and interpreting brand research, sentiment tracking, and competitive audits. Defining and reporting on brand health KPIs tied to perception, trust, and engagement. Using insights to continuously refine positioning … leadership skills to inspire cross-functional teams as brand ambassadors. Analytical skills to commission, interpret, and act on brand research, sentiment analysis, and competitive insights. The ability to define, measure, and report on brand health KPIs tied to perception, trust, and engagement. A collaborative mindset with experience ...

enabled solutions across the business. Some of the use cases that the business are looking at include: Co Pilot, Sentiment Analysis, Complaint and Question Handling and Investment research and Analytics. Essential Skills & Experience Strong background in organisational change management, ideally within digital or transformation programmes. Proven experience ...

Brighton. We design, develop and distribute our own products, including a Unified Communications App and AI-powered tools for call transcription, sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion ...