176 to 200 of 4,935 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 ...

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 ...

Tableau. Preferred Qualifications, Capabilities, And Skills Background in Technology Experience with SQL, Python (NumPy, Pandas, SciPy, stats models), and data mining techniques. Familiarity with machine learning APIs, open-source models (e.g., LLMs, TensorFlow, Scikit-Learn), and prompt engineering principles. Experience with MS SQL Server, Oracle, Hadoop, or other ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … break the models and navigating the intersection of research, engineering, and product delivery . Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Position Summary: We are looking for a Senior Data Engineer to design, build, and scale the core data infrastructure that powers analytics, AI/ML , and Generative AI solutions across the organization. You will own end-to-end data pipeline development, drive architectural decisions, and ensure our data ecosystem … batch + streaming) with a strong focus on performance, scalability, and cost efficiency. Design and maintain high-quality data models to support diverse analytical, ML, and GenAI workloads. Optimize SQL, Python, Spark/PySpark, and transformation workflows for performance at scale. Maintain and evolve data integrations across internal and external ...

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 ...

powered clinical operations platforms, with a focus in agentic automation of workflows. Cross-Functional Leadership: Lead cross-fuanctional pods composed of AI scientists, ML engineers, software developer engineers, and UI/UX researchers. Drive execution through agile methodologies, ensuring delivery of scalable, secure, and compliant AI solutions. Stakeholder Engagement: Collaborate … life sciences environment Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring). Strong technical fluency in AI/ML concepts, including, LLMs, prompt engineering, and agent orchestration Demonstrated ability to lead cross-functional teams and deliver products in regulated envioronments Excellend communication and stakeholder ...

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 ...