151 to 175 of 3,945 Machine Learning Jobs in the UK

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...